CHAPTER 3 METHODS AND TECHNIQUES OF CERVICAL SCREENING Draft of 15. December 2003 CONTRIBUTORS: Marc ARBYN, Jean-Jacques BALDAUF, Daniel DA SILVA, Joakim DILLNER, Joe JORDAN, Euphemia McGoogan, Pekka NIEMINEN, Julieta PATNICK, Odette REAL, Guglielmo RONCO, Ulrich SCHENCK, Pär SPAREN and Elisabete WEIDERPASS 1. EXECUTIVE SUMMARY (MARC ARBYN) ........................................................................................ 73 2. ASSESSMENT OF THE PERFORMANCE OF SCREENING TESTS: PRINCIPLES AND CRITERIA (MARC ARBYN, GUGLIELMO RONCO)................................................................................. 75 3. CONVENTIONAL CERVICAL CYTOLOGY (ULRICH SCHENCK, MARC ARBYN)................. 79 3.1. DESCRIPTION OF CONVENTIONAL CERVICAL CYTOLOGY ............................................................................. 79 3.1.1. Principles of conventional cytology .............................................................................................. 79 3.1.2. Reading a cervical smear .............................................................................................................. 79 3.1.3. Screening technique and localisation ........................................................................................... 79 3.1.4. Cell analysis: interpretation .......................................................................................................... 80 3.1.5. Adequacy of the sample ................................................................................................................. 81 3.1.6. Cytological findings ...................................................................................................................... 81 3.1.7. The cytological report ................................................................................................................... 82 3.1.8. Clinical applications of cervical cytology ..................................................................................... 82 3.2. PERFORMANCE OF CERVICAL CYTOLOGY ................................................................................................... 83 4. LIQUID BASED CYTOLOGY (MARCARBYN, ULRICH SCHENCK, ODETTE REAL) ............. 85 4.1. DESCRIPTION .............................................................................................................................................. 85 4.2. RATIONAL FOR LIQUID BASED CYTOLOGY ................................................................................................... 85 4.3. RECENT REVIEWS, META-ANALYSES AND PILOT STUDIES ............................................................................ 86 4.3.1. Comparison of the accuracy of liquid-based cytology with the conventional Pap-smear ............ 86 4.3.2. Judgement of the adequacy of liquid-based cytology relative conventional Pap smears ............. 88 4.3.3. Demonstration pilot projects conducted in Scotland and England ............................................... 90 4.3.4. Influencing factors ........................................................................................................................ 92 4.3.5. Economical aspects of liquid based cytology ................................................................................ 92 4.3.6. Training, time trend effects ........................................................................................................... 92 4.4. PROPOSITIONS FOR FUTURE RESEARCH ....................................................................................................... 93 4.5. CONCLUSIONS ............................................................................................................................................ 93 5. AUTOMATED CYTOLOGICAL SCREENING (PEKKA NIEMINEN, ULRICH SCHENCK, MARC ARBYN).................................................................................................................................................. 94 5.1. DESCRIPTION OF AUTOMATED SCREENING DEVICES.................................................................................... 94 5.2. RATIONAL FOR AUTOMATED SCREENING .................................................................................................... 94 5.3. EVALUATION OF THE PERFORMANCE .......................................................................................................... 95 6. COLPOSCOPY (JEAN-JACQUES BALDAUF, DANIEL DA SILVA, JOE JORDAN, MARC ARBYN) ............................................................................................................................................................... 98 6.1. DESCRIPTION .............................................................................................................................................. 98 6.2. INDICATIONS FOR COLPOSCOPY .................................................................................................................. 99 7. HPV DNA DETECTION (JOAKIM DILLNER, PÄR SPAREN, MARC ARBYN) ......................... 100 7.1. HUMAN PAPILLOMAVIRUS INFECTIONS ..................................................................................................... 100 7.1.1. Introduction ................................................................................................................................. 100 71 7.1.2. HPV in relation to other risk factors for cervical cancer ............................................................ 101 7.1.3. Immunogenetic factors: an increased risk for cervical cancer? ................................................. 101 7.2. HPV TESTS: PRINCIPLES AND LABORATORY PRACTISES. .......................................................................... 103 7.2.1. Quality Control Criteria .............................................................................................................. 103 7.2.2. Types of HPV tests....................................................................................................................... 104 7.3. CLINICAL APPLICATIONS OF HPV TESTING................................................................................................ 104 7.3.1. Use of HPV testing in Primary Screening ................................................................................... 106 7.3.2. Use of HPV testing in HPV triaging of equivocal smears ........................................................... 115 7.3.3. Use of HPV testing in follow-up post treatment of CIN .............................................................. 116 7.4. IMPACT OF HPV VACCINATION ON DESIGN OF CERVICAL SCREENING PROGRAMS ..................................... 118 7.4.1. Immune response to HPV infection and immunization ............................................................... 118 7.4.2. Vaccine trials in humans ............................................................................................................. 119 7.4.3. Unresolved questions about HPV vaccine trials ......................................................................... 120 8. GLOSSARIUM AND LIST OF ABBREVIATIONS............................................................................ 124 9. REFERENCES ........................................................................................................................................ 124 9.1. EVALUATION OF TEST PERFORMANCE....................................................................................................... 124 9.2. CONVENTIONAL CERVICAL CYTOLOGY ..................................................................................................... 126 9.2.1. Historical background ................................................................................................................ 126 9.2.2. Screening technique .................................................................................................................... 126 9.2.3. Cytological diagnosis .................................................................................................................. 127 9.2.4. Quality assurance........................................................................................................................ 127 9.2.5. The cytological report ................................................................................................................. 128 9.2.6. Peformance of cervical cytology ................................................................................................. 128 9.3. LIQUID BASED CYTOLOGY ........................................................................................................................ 128 9.3.1. Systematic reviews concerning liquid based cytology ................................................................. 128 9.3.2. Other references on liquid based cytology .................................................................................. 129 9.4. AUTOMATED SCREENING .......................................................................................................................... 131 9.5. HPV DNA DETECTION (PARTIM) .............................................................................................................. 132 10. APPENDICES ..................................................................................................................................... 139 10.1. APPENDIX 1: COLLECTION OF ADEQUATE PAP SMEARS (MARC ARBYN, JOE JORDAN, EUPHEMIA MCGOOGAN, JULIETA PATNICK) .............................................................................................................. 139 10.2. APPENDIX 2: REPORTING SCHEMES FOR CERVICAL CYTOLOGY (ULRICH SCHENCK, MARC ARBYN) . 139 72 1. Executive Summary (Marc ARBYN) Screening for cervical cancer requires the use of a test, which is easy to perform by medical or paramedical personnel, available at an acceptable cost, causing minimal discomfort to the woman and has a high sensitivity and specificity for progressive intra-epithelial lesions (CIN). Evidence of effectiveness should be based on its potential to reduce the morbidity and mortality from cancer. High sensitivity for the detection of CIN is an insufficient criterion for effectiveness, since CIN often regresses. High specificity is required to avoid anxiety, unnecessary treatment and side effects. The conventional Pap smear partially fulfils these criteria. Cytological screening every three to five years can reduce morbidity and mortality from cervical cancer by 80% or more, if offered in an organised setting. Nevertheless, the test-validity, in particular the test sensitivity of the conventional Pap smear for CIN, is moderate: between 50 to 70% for CIN; but around 80% for high-grade CIN. Cytological screening in opportunistic settings is less effective and in particular less cost-effective. Occurrence of false-negative and unsatisfactory Pap smears was considered as a justification to develop new technologies such as liquid based cytology and automated screening devices. The quality of the evaluations of their performance was often poor, essentially limited to cross-sectional cytological outcomes and rarely verified by a valid gold standard. Liquid based cytology (LBC) was originally evaluated using the split-sample study design, where first a conventional smear is prepared from the sampling device prior to the preparation of an LBC smear. Later the direct-to-vial study design was applied which corresponds to the intended use of LBC. The cost of an individual LBC test is considerably higher. Results pooled from split-sample studies showed neither increased detection rates of high-grade lesions, nor higher positive predictive value, sensitivity or specificity in the few studies with systematic verification. However, in direct-to-vial studies significantly higher detection rates of low- and high-grade cytological abnormalities were observed, whereas the positive predictive value for histologically confirmed CIN2+ (grade II or more serious disease) was not lower than for conventional cytology. These findings may suggest increased sensitivity without significant loss in specificity. However, the level of evidence for this statement is rather low because of insufficiently controlled and verified study designs. In general the quality of LBC preparations has improved and their interpretation requires less time. Randomised controlled trials comparing LBC versus conventional cytology, respecting the rules of good diagnostic research, and using biopsy proven outcomes, are still needed before superior performance of LBC can be considered as evidence-based. New automated screening devices, targeting liquid based cytology, are being developed and are expected to replace the machines that have been evaluated over the last decade. It was considered inappropriate to pool information on devices that are no longer available. One experience with the PAPNET device merits attention, since it was the only randomised clinical trial comparing manual versus PAPNET interpretation of conventional Pap smears, using cancer incidence as final outcome. The preliminary results of this trial did not show differences in detection of cancer nor CIN2+. The specificity and positive predictive value were similar as well. 73 Ther is overwhelming evidence is available showing that infection with sexually transmittable human papillomaviruses (HPV) is a necessary but insufficient aetiological condition for the development of cervical cancer. Only high-risk HPV types are associated with cervical cancer. Given this evidence, several applications for HPV DNA detection have been proposed: (1) primary screening for oncogenic HPV types alone or in combination with cytology; (2) triage of women with equivocal cytological results; (3) follow-up of women treated for CIN to predict success or failure. Vaccination against high-risk HPV types is another proposed preventive strategy. A Europe Against Cancer-sponsored meta-analysis targeted the second application. From this meta-analysis it was concluded that triage of women with equivocal cytological lesions with HPV testing using the Hybrid-Capture II assay is more accurate than repeat cytology. Another recent systematic review indicated that HPV DNA detection predicts treatment failure more quickly than cytological follow-up. The use of HPV detection in the context of primary screening is an object of debate. HPV infections are very common and usually clear spontaneously. Therefore, detection of its DNA includes a serious risk of over-diagnosis and psychological distress among HPV-positive women. Nevertheless, the specificity of HPV detection can be enhanced by: screening in women older than 30 years, where HPV clearance is less frequent; confirming persistence of the same HPV type over a delay of 6-12 moths; identifying high viral loads and using the most specific HPV detection methods. The high sensitivity of current HPV-DNA detection methods yields very high negative predictive values even for adenocarcinoma precursors that often escape cytological detection. Several capital questions remain unanswered, such as the length of the increased negative predictive values in HPV-negative individuals; the definition of the best strategy to follow-up HPV positives that are cytologically negative. Further longitudinal research, by preference in an organised setting guaranteeing optimal follow-up, and targeting public health relevant outcomes, before HPV screening can be recommended as an alternative for, or in combination with, the Pap smear. Research should be completed with mathematical modelling in order to define the best policy. Progress has been made in the development of HPV vaccines. An overview is presented of the current state of knowledge in this field. Colposcopy is sometimes proposed as an alternative screening method, but its specificity is too low to accept it for this use. Since colposcopy is an essential instrument to orient further diagnostic exploration and treatment, it is covered more extensively in chapter 8. In a first annex, a technical guideline is presented on the preparation of an adequate Pap smear. In a following annex the cytological reporting forms that are currently in use in the member states are added together with conversion tables allowing conversion to the current Bethesda system. Chapter 3 ends with a discussion on a possible future European cytological terminology. 74 2. Assessment of the performance of screening tests: principles and criteria (Marc ARBYN, Guglielmo RONCO) The aim of cervical cancer screening is to identify progressive cervical intra-epithelial neoplasia (CINa) and by their treatment prevent progression to invasive cancer [Morrison, 1992]. The effectiveness of a screening programme is determined by the programme sensitivity. This programme sensitivity depends on the sensitivity of the chosen screening test, the natural history of the disease, and the screening policy (the target age group, screening interval, and procedures for follow-up of positive screens). The essential elements in the natural evolution of the disease are the rates of onset, progression and regression of precursor lesions and the distribution of their sojourn times. The mean sojourn time of CIN is at least 10 years and the probability of detection increases as the preclinical phase progresses [Hakama, 1986; Van Oortmarssen, 1991]. Therefore, repetition of a moderately sensitive screen test, such as the Pap smear can reduce incidence of and mortality from cervical cancer to a low residual level [Van Oortmarssen, 1992]. The reduction in the cumulative incidence of cancer is estimated to be respectively 91 and 84% due to well organised cytological screening every 3 or 5 years [Day, 1986; 1989; Van Oortmarssen, 1991]. In chapter 2, we learnt that the success of screening depends essentially on the participation of the target population and the quality of the screening test and further on the compliance and efficacy of treatment of screen-detected lesions. In this chapter we focus on the performance of screening methods. We will describe and assess the performance of 5 main types of tests that are currently used in cervical cancer screening in Europe or that are proposed as an alternative or supplement for current methods: 1. The conventional Pap smear 2. Liquid based cytology 3. Automated cytological screening 4. Colposcopy 5. Human papilloma virus DNA detection A list of indicators for programme effectiveness, assessed by different study methods, is enumerated in Table 1 and ranked from high to low according to the level of evidence that such studies provide. Table 1 Ranking of indicators by level of decreasing evidence for effectiveness of cervical cancer screening methods according to the studied outcome and the used study design. Outcome: 1. 2. 3. 4. 5. 6. 7. Reduction of mortality from cervical cancer, life-years gained. Reduction of morbidity due to cervical cancer: incidence of cancer (Ib+), Quality adjusted life-years gained. Reduction of incidence of cancer (including micro-invasive cancer). Reduction of incidence of carcinoma in situ/severe dysplasia or cancer. Reduction of incidence of high-grade CIN3+ or CIN2+. Increased detection rate of CIN3+ or CIN2+. Increased test positivity with increased, similar or hardly reduced positive predictive value. In this chapter “CIN” (cervical intra-epthelial neoplasia) is used for histologically confirmed lesions, while the SIL (Bethesda) terminology is used to describe cytological findings. a 75 Study designa: 1. 2. 3. 4. 5. Randomised clinical trial, randomised population based trial. Cohort studies. Case-control studies. Trend studies, ecological studies on routinely collected data. Cross-sectional studies 5.a.1. Screening tests applied independently on the same study subjects; 5.a.2. Screening tests applied to separate but similar populations, historical comparison. 5.b.1. 5.b.2. 5.b.3. 5.b.4. Complete golden standard verification of test negatives and positives; where by preference verification is blinded to screen test results, allowing evaluation of test sensitivity and specificity; Complete verification of all test positives and a random fraction of test negatives; Complete verification of all test positives and selective verification of screen negatives; Incomplete selective verification of test positives and negatives. 5.c.1. 5.c.2. Blinded gold standard verification without prior knowledge of screen test results; Gold standard verification with prior knowledge of screen test results. 5.d.1. 5.d.2. Randomly selected population or a continuous series of study subjects; An arbitrarily chosen series of study subjects. 5.e.1. 5.e.2. Population that is representative for the intended use of the test: (“spectrum of disease”) a routine screening situation; Setting with high risk women or setting referred women for previous abnormality or follow-up. 5.f.1. 5.f.2. Reproducibility of the screen test result assessed; Reproducibility of the screen test result not assessed. Certain particular topics of Table 1 are highlighted below. It must be stressed that the aim of screening is to prevent cervical cancer, not simply detect pre-invasive lesions. A new screen test allowing (earlier) detection of more CIN does not necessarily result in more pronounced reduction of cancer incidence since just additional nonprogressive lesions might be detected. But, conducting randomised trials aiming to prove reduction in invasive cervical cancer requires enormous financial resources and huge study populations to be followed for 10 or more years including a high risk of contamination between the experimental and control arms. Meanwhile the new technique might not be available anymore or obsolete. Therefore, certain experts propose to study intermediate or surrogate outcomes (for instance outcomes 4 to 6 in Table 1) and to simulate the most likely outcomes relevant to public health using mathematical models. The rate of progression of CIN and its detectability (or test sensitivity) by cytological screening increases according to the severity of dysplasia [Canadian Task Force, 1976; Narod, 1991; Ostör, 1993; Melnikow, 1998; McCrory, 1999; Nanda, 2000]. Therefore detection of a Only controlled studies are considered, this means studies where two or more screening methods are compared. 76 CIN3+ constitutes a more pertinent outcome than CIN2+ [Sherman, 2002]. CIN1 is a much less relevant outcome since most mild dysplasia regresses to normal [Ostör, 1993]. The assessment of the diagnostic validity, expressed in terms of sensitivity, requires the explicit definition of test-thresholds for test positivity and disease. It can be evaluated by application of screen tests to a relevant screening population followed by verification of all subjects with an accurate golden standard. It can be assumed that histological examination of material obtained by colposcopically directed biopsy, loop excision or endocervical curettage, provides complete ascertainment of the true disease status. This might in fact not be true, but independent verification with an imperfect golden standard will attract sensitivity and specificity ratios (sensitivytest1/sentistivitytest2; specificitytest1/specificitytest2) towards unity. Therefore observed accuracy differences are to be considered as minimum estimates. Rarely colposcopy and histology can be applied to all screen negatives, which includes serious risk of verification bias. Nevertheless, when 2 screen tests are applied to the same study subjects and all subjects, positive for one or both tests, are verified with an acceptable gold standard, unbiased estimation of the test positive predictive value, the relative sensitivity and detection rate of true positives is possible [Schatzkin, 1987; Chock, 1997]. When a random sample of screen-negatives (and or screen-test positives) are verified, an inferred sensitivity and specificity can be computed [Begg, 1993; Choi, 1992; Irwig, 1994]. Given the low prevalence of disease, an approximated test specificity can be computed, even without systematic verification of a random sample of test-negatives, from the ratio of the number of test-negatives over the total number of study subjects minus the true positives [Morrison, 1992]. (Specificityapprox= # test negatives / (N – # true positives); where N = the number of all tested individuals). The reliability or reproducibility of a test expresses the capacity to obtain the same test result – correct or not – when the screening test is repeated on the same individual. The reliability depends on the definition of distinct test criteria that can be applied by skilled personel. Poor reproducibility automatically yields low sensitivity and specificity. Once again, it must be repeated that the observation of increased sensitivity of a new test for histologically confirmed CIN does not necessarily imply that its inclusion in a screening programme will yield a reduction in incidence of lethal cervical cancer with respect to conventional cytological screening. Nevertheless, when biological and epidemiological arguments justify the assumption that the lesions detected in excess by the new method have a substantial chance of progression (acceptable longitudinal positive predictive value) and that screen negatives have a substantially lower chance to develop cancer in the future (higher longitudinal negative predictive value), planning of the new test in a randomised populationbased trial in an organised setting can be considered (see chapter 2). Simulation models should be performed to define the best policy for the new test. Until now we studied essentially programme effectiveness stressing test sensitivity. Cervical cancer screening addresses large populations and are therefore extremely costly. Costs are largely determined by the test specificity. An overview of the cost components attributed to screening is presented in Table 2. 77 Table 2. Overview of cost components of a screening programme 1. 2. 3. 4. 5. 6. Cost price of the screen-test (investment and recurrent costs); fees of health professionals (time for preparation, interpretation of the screen test, documentation, training); logistical costs (transport, processing, storage); administrative costs (invitation, registration and analysis of data). Specificity of the screen test: cost of follow-up and treatment of women with false-positive results or having non-progressive screen-detected lesions (over-diagnosis). Sensitivity of the screen test (longitudinal): cost for follow-up and treatment of true positives; this cost must be off-set by cost savings in avoided treatment of advanced disease. Human costs: time spent by women to be screened, anxiety and discomfort for follow-up and/or treatment of women with true and false-positive results and consequences of delay in detection of cancer in false-negative women. Specificity of quality control, triage and diagnostic follow-up procedures, contributing to increased positive predictive value and savings by avoiding treatment of false-positive women. Quality of screen test procedures; satisfactory rate influencing the need for repeat tests. A small decrease in specificity can have dramatic consequences on costs. The number of additional false positives is computed from nearly the complete target population, since the prevalence of progressive cervical cancer precursors is low. Nevertheless, increasing the screening interval can compensate the consequences of decreased specificity. Reliable mathematical models can be used to estimate the final outcome per unit of cost. In sub-chapter 3, we will discuss the current standard screening test, the conventional Papanicolaou test. 78 3. Conventional cervical cytology (Ulrich SCHENCK, Marc ARBYN) 3.1. Description of conventional cervical cytology 3.1.1. Principles of conventional cytology Cytology can be defined as the science of cells. In the clinical context this is generally understood as cytology applied for diagnostic purposes. Several synonyms are used: cytology, diagnostic cytology, clinical cytology and cytopathology. In this chapter the term cervical cytology is preferred to other terms like vaginal cytology, gynaecologic cytology, Pap test, and Pap smear. Cells are sampled with a sampling device from the surface of the uterine cervix and the cervical canal. Cells are either directly smeared on a glass slide or deposited on a slide after being first transferred to a liquid medium (see technical guideline in appendix 1: collection of adequate Pap smears). For visual evaluation by the human observer the cells must be stained. The cells are then analysed using a microscope. 3.1.2. Reading a cervical smear Reading a cervical smear is a rather complex procedure. Primarily it can be understood as a search procedure including single cell classification and a slide interpretation. It is clear that hundred thousands of cells cannot all be evaluated visually in detail. The number of atypical cells in a smear may be quite low, especially in low-grade intraepithelial lesions. The problem of searching for a few atypical cells in a large area has been the basis for the development of the cytotechnologists' profession, and a thorough visual screening of cervical smears is still the basis for all cervical cancer screening programs. This chapter will address both the localisation phase and the interpretation phase of cervical cytology. In reality both cannot be easily separated. 3.1.3. Screening technique and localisation Magnification: The resolution of the unaided human eye is about 0.1mm, 100µ. Considering a nuclear size of 10µ, a ten power magnification is about the minimal enlargement required if regular sized nuclei are to be detected at all. At this magnification no nuclear detail can be recognised. For screening purposes generally another 10 power magnification is used. With this set up we end up with a standard of a 10 power objective and a 10 power eye piece magnification resulting in a 100 power total magnification, which is today the standard for screening purposes. With this magnification nuclear features are mainly size and contrast, wheras structural resolution is very poor even after foveal fixation. Lower magnification can be used for orientation but not for screening in gynaecological cytology. Higher magnification, 25x and 40x are used to view objects of interest in more detail. Slide movement: Generally, the screening of a case starts on one of the edges of the cover glass. After the inspection of the field of view, the observer passes on to the next field of view with a quick movement of the stage. This process of alternating movements and stops is continued in the same direction until the opposite side of the cover slip is reached. Here the observer moves to the next line where the screening is continued in the opposite direction. In this way the slide is screened in a "meander"-like fashion until the total area of the slide has been screened. 79 Physiology of visual microscopic perception: The screening process can be understood as follows. During about 180 msec the slide is moved from one field of view to the next. During this time there is no foveal fixation. The new field of view is examined during the latency period by peripheral vision. If no conspicuous object is found, after about 230 msec the microscope stage is moved to the next field of view. If there is a conspicuous object, it will be fixed by the fovea after a very rapid eye movement, a saccade. If necessary, in the same field of view several objects will be fixed, each after a saccadic eye movement. Then the stage will be moved to the next field of view. This process shows some obvious limitations in screening performance. Only a limited part of the specimen area is analysed with stationary fields of view. During stage movement no fixation takes place. Most of the area can be covered only by peripheral vision. In the periphery of the fields of view foveal fixation is found less frequently. Screening duration: The relation of total screening time, number of fields of view and the slide area in stationary fields of view can be calculated. It is evident that there is a correlation between total screening time and the specimen area that can be overseen during the stops in the screening process. There is no doubt that with less screening time per specimen, only part of the total area is seen. The use of large-field binoculars (e.g. 40° visual angles) does not really solve the problem since the detection threshold of peripheral vision increases towards the margin of the fields of view. The use of miniature cover glasses also does not seem acceptable. The use of special cell preparation techniques like liquid based cytology resulting in deposition of the representative sample with a randomised distribution in a limited slide area has been discussed and is at present the only acceptable approach to reduce the deposition area substantially. If the time spent by a cytotechnologist on a case is evaluated, not only the screening time but also some time for documentation of the screening results has to be taken into account. If a cytotechnologist needs on the average five minutes per slide and one minute for documentation, he or she will be able to read 10 cases per hour and 60 cases per day in six hours spent at the microscope. Of this time, about 60 minutes will be used for reading patient documents and filling in forms. Organisation of the lab should focus on keeping the inter-case interval short in relation to the time at the microscope. Screening during a shorter period will yield substantially lower sensitivity. We suggest a daily screening maximum of 60 slides, presuming six hours at the microscope. It seems essential to define such daily limits per cytotechnologist and 24 hours. Definitions of the maximum slide numbers per year and primary screener are not useful for quality assurance in daily practice. Computer assisted microscopy: Computer assisted screening allows registration of screening parameters, such as area coverage, screening time, stops, overlap of screen tracks and screening meander. Regular recording of the screening pattern in the daily routine can improve quality for an acceptable cost. (Is there evidence of improvement in accuracy by the use of such systems, if not: drop it). Computer programs can ask the cytotechnologist to rescreen all areas in a slide that might have been omitted. In future settings where cytological diagnosis might be a co-operative approach inviting man and machine, the technical microscope set up might need special microscope stages allowing for documentation of screening coordinates and relocation of objects. Such microscope stages also allow presetting of the screening meander. 3.1.4. Cell analysis: interpretation The basic assumption of cytological diagnosis is that it is related to the histology of the relevant tissue. This means that there is an equivalent appearance of cells even after the cells 80 are detached from tissue and all three-dimensional information is lost. This basis, including its limitations, has been essential for cytology as a successful diagnostic tool. There are two main approaches to the interpretation of cells that are usually combined. One is based on the recognition and identification of cell types, the other is the criteria oriented approach e.g. analysing cells for the so-called “criteria of malignancy”. A number of characteristic cell types are important for the interpretation of cells. In most cases the cytological diagnosis is based on a cell population rather than on a single cell. In any case cytological interpretation is subjective. The complexity of these processes explains why training (Chapter 10) and proficiency testing (Chapter 7) are so important in clinical cytology. Separating "normal cellular findings" from "benign cellular changes" seems to be a major problem. Since the days of Papanicolaou with his Pap classes I and II such separations have survived. In the current Bethesda reporting system it is proposed to skip such a separation in favour of a group that is called "negative for epithelial abnormality". Normal components of cervical smears are squamous cells, endocervical cells and endometrial cells at certain age groups and phases of the cycle. Atrophic epithelium may be considered as normal or in some settings as a benign cellular change, especially if atrophy induces inflammation or degeneration. Patterns of different lesions are generally expressed by criteria catalogues. Knowledge of such criteria lists is important for training as well as for practical diagnosis. Still, many cases do not display the complete set of characteristics but show only some of them, possibly added to some contradicting features. 3.1.5. Adequacy of the sample Most report schemes nowadays have a component related to the adequacy of the sample. The cytologist can answer the question, if the slide looks adequate for evaluation, but never will be able to classify a smear as representative. Accepting the smear as representative is a clinical decision based on the cytological outcome and the observations made by the smear taker at the time of sampling. In general smears should contain both squamous epithelial cells and endocervical columnar cells, which is documented in the report. 3.1.6. Cytological findings Microscopic images of cervical cytological specimen can be found at: (Give the source: web site address). Maybe a few images can be integrated in the text. To be discussed with Joe and Ulrich. Benign cellular changes Numerous variants of benign cellular findings have been described. For many of them there is no clinical relevance since they do not imply an increased risk for neoplasia. Rather many are important if they are not interpreted correctly and lead to over-diagnosis. Benign cellular changes may be related to: microbiological findings, inflammation; hormonal influence/ atrophic squamous cells; ongoing or previous therapy; reaction to trauma; radiation; intrauterine contraceptive device (IUD). Glandular cells status post hysterectomy. 81 Clinical relevance of benign cellular changes: no clinical relevance at all; changes impeding repetition of the smear; changes potentially inducing over-diagnosis (for instance follicular cervicitis, tissue repair); findings needing patient treatment. Cells indicating intraepithelial cell changes: Cells of mild dysplasia Cells of moderate dysplasia Cells of severe dysplasia and carcinoma in situ Atypical glandular cells Cells from invasive cancer: Cells of invasive squamous cell cancer Adenocarcinoma of the endocervix 3.1.7. The cytological report Cytologists or cytopathologists should use a standardised terminology for the reporting of cytological findings. Results must be stored in a standard database format in a computer-based laboratory information system (LIS). The LIS should use mnemonics or assigned codes for rapid data entry. The LIS must allow for free-text capabilities which are necessary e.g. for special interpretations, comments and recommendations that deviate from standard routine. The LIS must allow easy transmission of information, communication of results, programme management and evaluation. Different report schemes are in use throughout Europe. Report forms are often used to distribute medical and financial resources, and therefore difficult to change. Translation among the different report schemes is highly desirable but not easy. Three principle criteria should be applied when defining separate categories in a cytological reporting system: 1) inter-rater reproducibility; 2) correlation with histological findings; 3) natural history. Numerical report schemes like the Papanicolaou classification are obsolete but still common in European laboratories and throughout the cytological literature. Annex 2a provides an overview of reporting schemes currently used in the member states. In most European countries a reporting system derived from the 1991 or 2001 version of the American Bethesda System [Solomon, 2001] has been developed. Therefore a translation table proposing the conversion of national terminology to the 2001 Bethesda system has been added (appendix 2b). Throughout time, several classifications were elaborated and will be elaborated, yielding different splitting or lumping of cytological categories that compromise longitudinal statistical analysis. In order to have some universal reference system for translation, a detailed continuum of cytological entities has been described where cut-offs between previous and future categories can be identified (appendix 2c). 3.1.8. Clinical applications of cervical cytology Conventional cytology is still the standard method for primary cervical cancer screening. Repetition of the Pap smear is used as triage method in case of minor cytological methods and as follow-up method after treatment of lesions (see chapter 8). 82 3.2. Performance of cervical cytology Programme sensitivity Efficacy of conventional cytological screening for cervical cancer was never demonstrated in randomised clinical trials (design type 1, see Table 1) but evidence of effectiveness is nowadays widely accepted from observational studies (design types 2-4). For an overview of the performance, we refer to the systematic review performed by the International Agency for Research on Cancer in 1986 [Hakama, 1986]. Three- to five year screening in women 35-55 years old after 2 previous smears offered in an organised setting yields a reduction in cumulative incidence of 91% to 84%. The programme sensitivity was lower and more heterogeneous than in non-organised settings due to lower and more variable test sensitivity (less rigorous quality control). More estimates of the relative protection (a performance parameter directly related to programme sensitivity) offered by cytological screening, are shown in tables x-y in chapter 2. Cross-sectional test accuracy of cervical cytology Problems of the identification of best gold standard for cervical cytology [Davey, --]. The cross-sectional diagnostic validity of cervical cytology for CIN using the histological result of a biopsy, conus, endo-cervical curettage of hysterectomy as gold standard, was evaluated in two meta-analyses [Fahey, 1995; McCrory, 1999 & Nanda, 2000]. We have reanalysed data extracted from the most recent American meta-analysis. The results of the meta-analytical pooling yielded estimates of accuracy that are summarised in Table 3. Table 3 Table 3: Meta-analysis of test sensitivity and specificity of cervical cytology at 3 test thresholds (ASCUS+, LSIL+ and HSIL+) for colposcopically or histologically confirmed presence of CIN2+ or CIN1+ (adapted from McCrory, 1999) pooled from studies with complete and incomplete gold standard verification (adapted from McCrory, 1999). Table 3a: Outcome presence of CIN2+ All studies Test threshold Sensitivity (95% CI) # studies ASCUS+ 0.77 (0.64-0.90) 6 LSIL+ 0.83 (0.80-0.90) 46 HSIL+ 0.58 ( 0.49-0.66) 45 Specificity 0.69 0.61 0.89 (95% CI) ( 0.57-0.82) (0.55-0.67) (0.87-0.90) # studies 6 46 45 Only studies without verification bias Test threshold Sensitivity (95% CI) # studies ASCUS+ 0.65 (0.47-0.83) 1 LSIL+ 0.77 (0.58-0.97) 6 HSIL+ 0.87 ( 0.78-0.96) 1 Specificity 0.85 0.92 1.00 (95% CI) ( 0.81-0.89) (0.89-0.95) (0.99-1.00) # studies 1 6 1 83 Table 3b (continued): Outcome presence of CIN1+ All studies Test threshold Sensitivity (95% CI) # studies ASCUS+ 0.71 (0.67- 0.75) 32 LSIL+ 0.67 (0.63-0.71) 72 HSIL+ 0 Specificity 0.69 0.73 - (95% CI) (0.63- 0.75) ( 0.71-0.76) - # studies 31 72 0 Only studies without verification bias Test threshold Sensitivity (95% CI) ASCUS+ 0.53 (0.22-0.84) LSIL+ 0.52 (0.38-0.66) HSIL+ - Specificity 0.97 0.96 - (95% CI) (0.94-0.99) (0.94-0.98) - # studies 4 9 0 # studies 4 9 0 There is a tendency of higher sensitivity and lower specificity for CIN2+ than for CIN1+. The sensitivity decreases and the specificity increases with higher cytological test threshold. Studies without verification bias, where all subjects were submitted to the gold standard showed higher sensitivity and lower specificity. The low pooled sensitivity of cytology at threshold LSIL+ for presence of CIN1+, assessed in studies with complete verification, being 52% (95% CI: 38-66%), has been used as a reason for yearly as opposed to less frequent screening or as justification for newer more sensitive methods. It must be remarked that the outcome was CIN1+. CIN1 represents a lesion that usually regresses or, if progressive, has a high chance to be picked up while still non-invasive at a subsequent screening. Studies included in the meta-analysis, a fortiori those with complete gold standard verification, often concerned follow-up setting not representative for a screening situation. The test sensitivity of cytology for CIN (without precision of test and outcome thresholds), estimated by modelling from the historical British Columbia cohort was 80% [Boyes, 1982; Van Oortmarssen, 1991; Van Ballegooijen, 1997]. It concerned here sensitivity evaluated in an organised screening setting with good quality control. To conclude, it can be stated that the test sensitivity and specificity of the conventional Pap smear are not known precisely. The sensitivity for CIN2+ at low cytological thresholds is relatively high. The estimation of the accuracy varies by population characteristics (age, screening history, screening or follow-ups situation) and study design properties (selection bias, method of gold standard assessment, verification bias, independent assessment of gold standard). Nevertheless, convincing evidence is available with respect to the effectiveness of cytological screening, if offered in a well organised setting with quality control at all levels. 84 4. Liquid based cytology (MarcARBYN, Ulrich SCHENCK, Odette REAL) 4.1. Description Thin-layer cytology or liquid based cytology (LBC) is a new technique for transferring the cellular material to the microscope slide. The cervical broom is usually recommended for taking the sample. However a plastic extended tip spatula or the combined use of plastic spatula and endo-cervical brush are also options. The smear is not transferred in the usual way onto a slide (see appendix 1). The sampling device carrying the material is immersed in a container with a special liquid transport medium. The container is then sent to a specially equipped laboratory. At present, there are several commercial systems available. Several commercial systems have been developed in the last fifteen years, among which ThinPrep (Cytyc, Boxborough, MA, US) and SurePath (formerly, AutoCyte PREP, TriPath Imaging Inc., Burlington, NC, US) are the most well-known. With the ThinPrep-2000 or the more fully automated ThinPrep-3000 processor the liquid is aspirated through a membrane that detains the cellular material, which is then stamped onto a slide in the form of a very thin layer, often called a monolayer. With the PrepStain machine the SurePath material is sedimented through a density gradient [Howel, 1998]. Only ThinPrep and SurePath have so far been approved in the United States by the American Food and Drug Administration (FDA). Other fluid based systems are manufactured as wella. Until recently, the FDA allowed only for ThinPrep to claim lower inadequacy rates and higher detection rates of LSIL and HSIL in comparison with conventional cytology. For AutoCyte only the label of improved preparation quality and equal detection of cytological abnormalities was attributed. In May 2003, the FDA approved the claim of increased HSIL detection with SurePath as well. 4.2. Rational for liquid based cytology A first advantage of fluid based methods is that almost all the sampled cells are rinsed into the liquid while with the conventional smear a selective portion of the cellular material may remain trapped on the sampling device [Rubio, 1977]. Transfer via a fluid medium increases the likelihood of representative smears [Hutchinson, 1993]. The ThinPrep and SurePath systems produce circular areas that contain on average 50 000 to 75 000 randomly selected cells, whereas the conventional Pap smear usually contains between 100 000 to 250 000 cells, which is about one fifth of the cellular material available on the sampling device [Hutchinson, 1993]. Fixation of the cell material is optimal in LBC. However, the altered background requires training and a period of adaptation for the cytologist [Austin, 1998]. Red blood cells and mucus are for the most part absent and leukocytes are more evenly distributed. Epithelial fragments, which are difficult to interpret on a classical smear, are for the most part disaggregated during the preparation, while diagnostic clusters of columnar or metaplastic a Little information is available concerning other commercially available LBC systems such as: Cytoscreen®, Cyteasy®, Labonord Easy Prep®, Cytoslide®, SpinThin®, PapSpin®. 85 cells are usually preserved. The microscopic visualisation of a calibrated thin layer of properly distributed cells is more comfortable for cytological interpretation, which should facilitate the evaluation of cytological structures [Linder, 1997; Austin, 1998]. Multiple smears can be made or additional investigations performed on the residual fluid (e.g. DNA detection of the human papillomavirus or Chlamydia) without the necessity to recall the woman concerned [Ferenczy, 1997; Sherman, 1997]. A thin-layer specimen might be a more proper target for automated screening devices. A considerable disadvantage is the higher cost - both the capital investment and the operating costs and the dependence on the manufacturer’s disposables. 4.3. Recent reviews, meta-analyses and pilot studies Several reviews and meta-analyses regarding the performance of LBC were performed over the last 5 years (see list of references). Conclusions formulated by the reviewing authors were disparate and depended largely on selection criteria to include individual studies and the considered performance parameters. Two types of study designs were distinguished: split sample studies and direct-to-vial or two-cohort studiesa. Studies comparing detection rates for low grade cytological abnormalities often yielded more favourable results for LBC, whereas in studies focusing on accuracy for biopsy-confirmed high-grade CIN, no significant differences between conventional and liquid-based cytology were found. For this reason it was decided to conduct an exhaustive meta-analysis in the framework of the evaluation of new screening methods in the European Union, which was one of the priorities of the European Network for Cervical Cancer Screening. A complete overview of the results can be found in a comprehensive report edited by the Scientific Institute of Public Health [Arbyn, 2003]. This meta-analysis was more comprehensive than previous ones including all studies documenting for LBC and CP: detection rates of cytological, accuracy relative to colposcopically and/or histologically confirmed outcomes, quality judgement and screening time as well as possible influencing factors. 4.3.1. Comparison of the accuracy of liquid-based cytology with the conventional Pap-smear Differences in detection in cytological abnormalities are shown in Table 4: - Split sample studies o More LSIL lesions are detected in LBC (liquid based cytology) than in CP (conventional Pap smear): 14% (CI: 9-20%) more in ThinPrep slides and 32% (CI: 11-55%) more in AutoCyte/SurePath slides. The detection rate ratios for ASCUS and HSIL are not statically different from unity. o The pooled inadequacy rate is lower in LBC preparations but this was statistically not significant due to large-study heterogeneity. a Split sample studies: studies where a conventional Pap smear is prepared prior to rinsing the residual material in a vial with liquid. Detection rates in conventional and liquid based smears are compared. 86 - Direct-to-vial studiesa o More LSIL and HSIL lesions are detectable in LBC and this observation is significant for both ThinPrep and AutoCyte/SurePath. For ThinPrep: 72% (CI: 42-108%) more HSIL and 80% (CI: 52-112%) more LSIL. For AutoCyte/SurePath: 47% (CI: 14-89%) more HSIL and 54% (CI: 25-90%) LSIL. Detection rates for ASCUS were similar. o Detection rate ratios are considerably higher in direct-to-vial studies, suggesting bias in split-sample studies in disadvantage of LBC. Spreading of cellular material for a conventional Pap smear preparation might cause selective removal of diagnostic elements that are not available anymore for LBC. Table 4: Meta-analysis: pooling of ratios of detection rates (LBC/Conventional Pap) [Arbyn, 2003]. Split sample studies ThinPrep (beta, 2000 or 3000 version) Test Pooled threshold estimate 95% CI # studies Lower Upper HSIL+ 1.01 0.95 1.08 18 LSIL+ 1.09 1.05 1.13 18 LSIL 1.14 1.09 1.20 18 ASC+ 1.06 0.96 1.17 17 ASC 1.00 0.80 1.25 17 Direct-to-vial studies ThinPrep Test Pooled threshold estimate HSIL+ LSIL+ LSIL ASC+ ASC 1.72 1.74 1.80 1.23 0.95 95% CI # studies Lower Upper 1.42 2.08 21 1.47 2.06 21 1.52 2.12 21 1.07 1.40 19 0.84 1.09 19 AutoCyte/SurePath (all versions) Pooled estimate 95% CI # studies Lower Upper 1.00 0.94 1.06 14 1.18 1.06 1.32 13 1.32 1.11 1.55 13 1.04 0.95 1.14 13 0.87 0.75 1.00 13 AutoCyte/SurePath Pooled estimate 95% CI Lower Upper 1.47 1.14 1.89 1.52 1.24 1.86 1.54 1.25 1.90 1.19 0.96 1.46 0.93 0.67 1.31 # studies 7 7 7 7 7 Increased detection of cytological abnormalities (ratios >1) provides insufficient evidence for improved sensitivity of LBC compared to CP. Therefore verification with a valid golden standard is needed. Differences in positive predictive value allow us to verify if higher cytological detection rates in LBC are due to an increase in false-positive results. Positive predictive values for presence of CIN2+ were pooled from studies with at least an 80% gold standard verification of testpositives. Pooled PPV ratios never were significantly different from unity. The relative sensitivity for biopsy confirmed CIN2+, in split-sample studies with at least 80% verification of positives, were again not significantly different from unity. It must be mentioned that a Direct-to-vial studies (or two-cohort studies): studies where all the collected cervical material is transferred to the vial with liquid. Detection rates for LBC are compared with series where conventional Pap smears were prepared. 87 numerous studies were excluded since they did not reach 80% of completeness in histological verification of positive smears. Verification of the true status of the cervical epithelium (presence or absence of CIN), by colposcopy and biopsy should preferentially be performed on all subjects and should concern essentially moderate or severe dysplasia or cancer. Verification of all study cases was only performed in a few split-sample studies [Ferenczy, 1996a; 1996b; Bergeron, 2000; Confortini, 2002; Coste, 2003]. The results of these studies are summarised in Table 5. Table 5: Ratio of sensitivity and specificity for CIN2+ of two liquid-based cytology systems (LBC) relative to the conventional Pap smear (CP), pooled from studies with complete verification by colposcopy and/or biopsy [Arbyn, 2003]. ThinPrep AutoCyte/SurePath 95% CI Test threshold HSIL+ LSIL+ ASCUS+ Ratio of sensitivities (LBC/CP) lower 0.95 0.88 0.97 0.92 0.99 0.96 95% CI upper # studies 1.03 2 1.02 2 1.02 3 ThinPrep Ratio of Test sensitivities threshold (LBC/CP) HSIL+ 0.95 LSIL+ 0.95 ASCUS+ 0.96 upper # studies 1.11 1 1.05 1 1.02 1 AutoCyte/SurePath 95% CI Test threshold HSIL+ LSIL+ ASCUS+ lower 0.81 0.86 0.91 Ratio of specificities (LBC/CP) lower 1.08 0.90 1.05 0.89 1.05 0.85 95% CI upper # studies 1.30 2 1.24 2 1.30 3 Ratio of Test specificities threshold (LBC/CP) HSIL+ 0.94 LSIL+ 0.84 ASCUS+ 0.92 lower 0.87 0.72 0.72 upper # studies 1.01 1 1.00 1 1.18 1 From the few completely verified datasets, no conclusion of improved accuracy of the LBC systems for detection of histologically confirmed CIN2+ can be made. Coste [2003] even concluded that the conventional Pap smear is superior to LBC, but this conclusion was based on the outcome of CIN1+. Moreover, it must be stated that one of studies was done with the beta-version of the ThinPrep system. All studies with complete verification were conducted on split samples. Possibly some learning effects might have influenced negatively the results for LBC since involved smear takers and cyto-technologists were not yet thoroughly accustomed to the new technique. All these explanations are speculative. 4.3.2. Judgement of the adequacy of liquid-based cytology relative conventional Pap smears The proportion of inadequate smears and the proportion judged as “satisfactory but limited by (SBLB)” and the reasons for limited quality judgement are shown in Table 6, where results are summarised from split-sample and direct-to-vial studies for conventional Pap smears and the ThinPrep and SurePath/AutoCyte systems. There was no significant reduction in the pooled inadequacy rate observed in the split-sample studies, whereas in direct-to-vial studies this reduction was more pronounced and significant in SurePath/AutoCyte smears (rate ratio: 0.13; CI: 0.07-0.26). The lack of significance was in 88 general due to the large inter-study variability, which in turn can be attributed to poor standardisation in definition and application of quality definitions. The same contrasts were observed for the proportion of SBLB smears. Most studies did not report complete quality information. The proportion of smears obscured by blood or inflammatory material or inadequate fixation was reduced in liquid-based cytology and this was significant in most situations. The proportion of inadequate smears due to scanty cells was significantly higher in LBC with the exception of SurePath/AutoCyte in direct-to-vial studies. In split-sample studies LBC slides showed a significantly higher proportion of smears without endocervical cells (EC-) compared to conventional smears. On the contrary, in direct-to-vial studies, the percentage of EC- in LBC was similar (in case of ThinPrep) or lower (in case of SurePath/AutoCyte) than in conventional cytology, confirming the disadvantage of LBC using the split-sample study design. Keeping the sampling brush in the preservation liquid might contribute to more optimal cellularity and presence of endocervical cells [Bigras, 2003]. Table 6: Frequency of quality judgement and distribution of reasons for limited quality of liquid and conventional Pap (CP) smears; ratio of frequencies, pooled from split-sample and direct-to-vial studies [Arbyn, 2003]. Split-sample studies Quality category Unsatisfactory Inadequate fixation Scanty cells Obscuration by blood Inflammation SBLB ECObscuration by blood Inflammation Reasons of inadequacy Unsatisfactory Inadequate fixation Scanty cells Obscuration by blood Inflammation SBLB ECObscuration by blood Inflammation # ThinPrep CP Ratio: ThinPrep/CP Frequency 95% CI Frequency 95% CI Estimate 95% CI lower upper lower upper lower upper studies 1.4% 1.0% 1.8% 2.3% 1.6% 2.9% 0.73 0.39 1.39 19 0.0% 0.0% 0.0% 0.1% 0.0% 0.2% 0.24 0.06 1.02 5 1.5% 0.8% 2.1% 0.6% 0.3% 1.0% 2.03 1.60 2.57 6 0.2% 0.0% 0.3% 0.5% 0.1% 0.9% 0.39 0.26 0.59 5 0.0% 0.0% 0.1% 0.4% 0.0% 0.7% 0.13 0.07 0.25 4 14.1% 10.9% 17.4% 13.2% 10.3% 16.1% 0.3% 0.0% 0.6% 0.7% 0.1% 1.2% 18.1% 10.6% 25.5% 7.2% 5.0% 9.4% 3.6% 2.1% 5.1% 5.0% 1.4% 8.5% 0.87 1.89 0.08 0.16 0.62 1.49 0.02 0.07 1.23 2.39 0.26 0.39 7 8 6 6 # AutoCyte/SurePath CP Ratio: AutoCyte/CP Frequency 95% CI Frequency 95% CI Estimate 95% CI lower upper lower upper lower upper studies 0.7% 0.5% 1.0% 1.5% 1.0% 1.9% 0.56 0.30 1.07 14 0.0% 0.0% 0.0% 1.2% 0.0% 2.4% 0.16 0.02 1.46 3 0.7% 0.0% 1.5% 0.5% 0.0% 1.2% 2.03 1.03 4.00 3 0.1% 0.0% 0.1% 0.5% 0.0% 1.2% 0.37 0.05 2.51 3 0.1% 0.0% 0.1% 1.9% 0.0% 4.1% 0.21 0.03 1.45 3 20.5% 13.2% 27.8% 20.3% 13.7% 27.0% 0.3% 0.0% 0.7% 1.5% 0.3% 2.8% 27.5% 17.0% 38.0% 16.1% 9.9% 22.3% 5.6% 0.4% 10.8% 8.6% 2.2% 14.9% 0.85 1.39 0.08 0.31 0.60 1.11 0.01 0.18 1.20 1.75 0.71 0.54 89 10 10 3 3 Table 7: (continued) Direct-to-vial studies Quality category Unsatisfactory Inadequate fixation Scanty cells Obscuration by blood Inflammation SBLB ECObscuration by blood Inflammation Reasons of inadequacy Unsatisfactory Inadequate fixation Scanty cells Obscuration by blood Inflammation SBLB ECObscuration by blood Inflammation Ratio: ThinPrep/CP # ThinPrep CP Frequency 95% CI Frequency 95% CI Estimate 95% CI lower upper lower upper lower upper studies 1.0% 0.7% 1.3% 1.9% 1.3% 2.5% 0.70 0.39 1.27 16 0.0% 0.0% 0.0% 0.0% 0.0% 0.1% 0.11 0.01 2.43 1 0.9% 0.1% 1.7% 0.5% 0.0% 1.5% 2.95 0.06 139.28 2 0.4% 0.0% 1.1% 0.1% 0.0% 0.3% 1.31 0.02 113.36 2 0.1% 0.0% 0.1% 0.2% -0.2% 0.6% 0.14 0.07 0.29 2 14.8% 7.2% 0.1% 0.5% 5.9% 23.7% 5.4% 9.1% 0.0% 0.1% 0.1% 0.8% 19.6% 15.8% 23.4% 7.6% 4.3% 10.9% 1.2% 0.1% 2.4% 6.2% 2.2% 10.2% 0.51 1.17 0.09 0.12 0.23 0.76 0.01 0.07 1.11 1.82 0.55 0.21 12 5 3 4 # AutoCyte/SurePath CP Ratio: AutoCyte/CP Frequency 95% CI Frequency 95% CI Estimate 95% CI lower upper lower upper lower upper studies 0.3% 0.2% 0.4% 2.7% 1.6% 3.9% 0.13 0.07 0.26 8 0.0% 0.0% 0.0% 0.4% 0.3% 0.5% 0.00 0.00 0.07 1 0.2% 0.0% 0.5% 1.1% 0.6% 1.6% 0.09 0.01 1.41 2 0.0% 0.0% 0.0% 0.0% 0.0% 0.1% 0.38 0.10 1.41 1 0.0% 0.0% 0.0% 0.0% 0.0% 0.0% 0.13 0.09 0.18 1 7.0% 3.7% 0.8% 0.7% 5.5% 0.4% 0.0% 0.0% 8.5% 7.0% 2.3% 1.7% 15.8% 12.2% 1.3% 5.9% 7.5% 24.0% 7.3% 17.2% 0.0% 3.8% 0.0% 15.6% 0.39 0.52 0.24 0.13 0.26 0.20 0.03 0.09 0.60 1.33 2.11 0.18 4.3.3. Demonstration pilot projects conducted in Scotland and England In a pilot study, conducted by the Scottish Cervical Screening Programme, [SCSP, 2002], smear takers were randomised in two groups, collecting respectively conventional Pap smears and ThinPrep preparations. Smears and vials were sent to 4 laboratories where cytotechnologists were previously trained to interprete LBC smears. Results are summarised in Table 7. The positive predictive values (cut-offs not documented) were similar for both preparation techniquesa. Subsequent to the publication of these results, the Scottish Government decided to convert completely to liquid based cytology. a The cytological- & histological thresholds used to compute PPV were not documented in the SCSP report [2002]. 90 5 3 2 2 Table 7: Proportion of inadequate smears and cytological abnormalities and ratios observed in two randomised groups of women from 4 Scottish areas. In group-1, a ThinPrep smear, and in group-2, a conventional smear was taken [SCSP, 2002]. Cytological category Unsatisfactory Borderline Mild dyskaryosis Moderate dyskaryosis Severe dyskaryosis Total (N=30288) Proportion ThinPrep CP 1.86% 8.00% 3.67% 4.35% 2.10% 1.09% 0.97% 0.48% 1.09% 0.59% Ratioa (TP/CP) 0.23 0.84 1.93 2.01 1.84 (95% CI) (0.20-0.26) (0.76-0.94) (1.60-2.32) (1.52-2.66) (1.42-2.38) The NHS demonstration project (England) As part of a 12-month pilot project conducted in 3 selected laboratories, LBC was introduced, after a learning transition period of 3 to 6 months [Moss, 2003]. At the same time, triage of women with results showing borderline abnormality or low-grade dyskaryosis with HPV DNA was incorporated as well. The cytological results of the first six months of the pilot period (which are not influenced by the HPV triage) were compared with the four previous years where exclusively conventional cytology was used. In two laboratories, the ThinPrep system was introduced and in another the SurePath. It must be mentioned that different sampling devices were use before and after introduction of LBC. The proportion of inadequate smears before and after conversion to LBC is shown in Table 8. The inadequacy rate dropped significantly in all laboratories and in all age groups after introduction of LBC. The quality of conventional smears increased with age. No age differential was observed anymore in the LBC period. The inadequacy rate was lowest in the SurePath laboratory. Table 8. Prevalence of inadequate smears by preparation system. (computed over the 4 CP years and the 1 st six months of the LBC period) [adapted from Moss, 2003]. Preparation system Conventional Pap ThinPrep SurePath % inadequate 95% CI 9.7 2.0 0.9 9.4-10.0 1.8-2.2 0.8-1.1 The relative changes in the detection of rates of cytological abnormalities in LBC versus CP by age group and by laboratory are shown in Table 9. In the ThinPrep laboratories significantly more SIL and HSIL lesions, and in one of them (lab C) also more borderline lesions, were found. In the laboratory where SurePath was used, less HSIL and borderline lesions were detected. The excess of lesions detected with LBC was concentrated in the age-group 20-34 years. a Confidence intervals are approximate. In the SCSP report it was stated that in half of the women a CP was taken and in the other half a TP. We assumed exactly 15 144 individuals in both groups. This allowed us to calculate confidence intervals. 91 Table 9. Relative change in the prevalence of abnormal smears, SIL and HSIL in LBC smears in comparison with conventional Pap smears (CP), by laboratory, by age (crude and weighted) [adapted from Moss, 2003]. Laboratory A B C Age 20-34 35-49 50-64 20-64 (mha) Abnormal (>=borderline) RR 95% CI 0.99 0.94-1.04 0.94 0.90-0.99 1.37 1.30-1.44 RR 1.15 0.96 0.93 1.06 95% CI 1.11-1.19 0.91-1.02 0.85-1.01 1.03-1.09 SIL (>=mild dyskaryosis RR 95% CI 1.25 1.19-1.31 1.00 0.93-1.08 1.73 1.60-1.86 RR 1.25 1.03 1.03 1.18 95% CI 1.19-1.31 0.94-1.13 0.87-1.23 1.13-1.23 HSIL (>=mod. dyskaryosis RR 95% CI 1.10 0.98-1.24 0.85 0.75-0.96 1.55 1.36-1.76 RR 1.18 1.01 0.75 1.10 95% CI 1.08-1.28 0.87-1.16 0.55-1.01 1.02-1.18 4.3.4. Influencing factors With the exception of test- and gold standard thresholds no other factors could be retained as influencing significantly the accuracy measures. The assessed covariates were: composition of the study population, clinical setting (screening, follow-up or mixed), the version of the LBC-system (betaTP, TP2000, TP3000; CytoRich, AutoCyte PREP, SurePath, other LBC systems), collection devices, training of smear takers and readers, blinding of screeners, reviewers, colposcopists, and histologists, quality control of cytotechnologists' 1st diagnosis, definition and completeness of golden standard verification, thresholds for cytology and histology, length of follow-up period, and last but not the disclosed interests of the researcher and involvement of the manufacturers of devices. The lack of significance might be due to poor reporting and insufficient information compromising the power of multi-variate analyses. 4.3.5. Economical aspects of liquid based cytology In 10 studies included in the aforementioned meta-analysis screening time was measured. The simple mean was 229 and 239 seconds respectively for thin-layer and conventional Pap smears (reduction of nearly one third) [Arbyn, 2003]. The need for adjusting the microscope’s objective is eliminated in LBC since the cellular material is localised in only one very thin layer [Payne, 2000]. McGoogan [1996] reported that interpretation of thin layer specimen was more tiring. Papillo remarked that the shorter evaluation time was off-set partly by a longer processing/preparation time [Papillo, 1992]. This remark is not valid anymore for the more automated processors. In the UK demonstration project, introduction of LBC was considered cost-effective essentially due to economical reasons: reduction in the proportion of inadequate smears and subsequent decline in repeat smearsb and the shorter interpretation time. Subsequent to the publication of the results, the National Health Service decided to convert to LBC as a preferred cervical cancer screening method (NICE, 2003). 4.3.6. Training, time trend effects The introduction of LBC requires that cytotechnicians be adequately trained. Often in literature the first months of experience with LBC are documented, when cytologists are still a (mh): overall Mantel-Haenzel adjusted relative risk. It must be remarked that the economic savings brought about by the reduction in unsatisfactory smears is expected to be substantially lower in other EU member states, since the inadequacy rate is substantially lower in the rest of Europe. b 92 not sufficiently accustomed to the new technique (McGoogan, personal communication). A learning effect was demonstrated in the NHS demonstration trial, with higher abnormality rates during the first two months of the pilots [Moss, 2003]. 4.4. Propositions for future research Future research should apply more rigid controlled study designs: randomised trials (conventional versus liquid based methods), in settings representative of a screening situation, with clear definitions of study outcomes including validation of test results by acceptable gold standards and provide detailed information on potentially influencing factors. Difference in detection rates of histologically confirmed CIN2+ or CIN3+ seems an acceptable intermediate study outcome. Studies assessing the adequacy of slides should imply all components of the quality judgement: cellularity, composition, preservation, aspect, and presence of obscuring elements. Such trials were recently set up in the Netherlands and Italy. Costs and effects and cost-effectiveness ratios (cost per additional case of CIN2+ detected) should be extended towards more relevant outcomes such as costs per avoided case of cancer or life years saved, based on the best available precise local financial information, accurate estimates of effects derived from trials and updated meta-analyses and plausible assumptions on the natural history of cervical cancer. 4.5. Conclusions The meta-analysis confirms the hypothesis that the split-sample study design creates a bias that defavorises LBC. In split-sample studies with complete colposocpy/histology verification no difference in sensitivity and specificity was found considering the outcome of CIN2 or more serious disease. However, two-cohort studies show substantial increases in detection rates of LSIL and HSIL in liquid-based smears whereas the positive predictive value for moderate dysplasia of more severe disease is not reduced significantly in comparison with conventional Pap smears. From this observation a gain in sensitivity without loss in specificity can be assumed. The level of evidence for this deduction is rather low. So we have to conclude that insufficient high-quality data are currently available to judge definitively on the superiority of fluid based cervical cytology. The quality of LBC smears has improved considerably. The inadequacy rate is lowest in SurePath preparations. Interpretation of LBC smears requires less time. While awaiting definitive results from well-conducted RCTs, we can recommend both types of preparations, conventional and liquid-based cytology with a certain reservation for the costeffectiveness for LBC, which depends on local situations. 93 5. Automated cytological screening (Pekka NIEMINEN, Ulrich SCHENCK, Marc ARBYN) 5.1. Description of automated screening devices Two commercial systems were extensively studied in the 1990s: PAPNET (Neuromedical Systems Inc. (NSI), Suffern, New York, USA) and the AUTOPAP System (Neopath Inc., Redmond, Washington, USA). PAPNET includes neural network software and traditional imaging technology. It selects 128 of the most suspect fields in conventional Pap smears and presents this on a video screen. A cytologist interpretes the images on the screen and decides to carry out manual screening when abnormalities are recognised or suspected The Food and Drug Administration (FDA) of the United States has approved PAPNET for quality control of slides interpreted as negative after conventional screening. NSI has recently been declared bankrupt. TriPath Imaging Inc. (formerly AutoCyte, Burlington, NC, US) has acquired the intellectual property of PAPNET. AUTOPAP is a computerised scanning device designed for algorithmic classification of conventional Pap smears. It designates a score based on the likelihood that the slide contains an abnormality. AUTOPAP selects a predetermined proportion of slides that need further manual screening. The FDA has approved AUTOPAP for quality control and for primary screening [Dunton, 2000]. In the meantime, newer devices are emerging targeting liquid based cytology smears, for instance: FOCAL POINT (TriPath Imaging Inc.) and IMMAGER (Cytyc, Boxborough, MA, US). 5.2. Rational for automated screening Automation assisted screening is aimed to increase sensitivity and specificity by finding e.g., small atypical cells, known to be very difficult to find in conventional screening. These include both squamous and glandular cells. The performance of screening is designed to increase by excluding part of the slides from manual screening or by enriching the most atypical cells to images or to be studied by the microscope. By enhancing the effectiveness of the screening work, automation is thought to allow more slides to be screened without changing the number of staff. This would be an advantage, because in many countries there is a severe shortage of cytotechnicians. As part of these automated devices are capable at processing either conventional or liquid based smears, it allows them to be used in different kinds of screening programmes. The aims for automated screening are: (1) to increase sensitivity and specificity of cytological screening; (2) to decrease the workload of cytotechnicians and cytopathologists; (3) to decrease the cost of the screening programmes; (4) finally, to decrease the incidence and mortality of cervical cancer. 94 5.3. Evaluation of the performance Several articles have been published concerning the performance of automation-assisted screening [Bartels, 1998; Bergeron, 2000; Doorneward, 1999; Duggan 2000; Fahey, 1995; Halford, 1999; Kok, 1996, 2000; Koss, 1997; Michelow, 1997; Prismatic Trial Team, 1999; Wilbur 1996]. They show generally a better test sensitivity with at least the same specificity as conventional screening. Most of these articles have been retrospective (quality control) and/or involved relatively small numbers of smears. The Prismatic study [Prismatic Trial Team, 1999], showed also equal sensitivity but better specificity for automated screening as well as better productivity (faster screening) in a prospective study with 21 700 smears. Only two randomised, prospective public health trials in a primary screening setting have been published thus far. First of these studies reported clearly higher detection rates of CIN3 or a more serious finding, particularly, of in situ-carcinoma and invasive carcinoma [Kok, 1996]. The second study, in an organised screening setting and involving several cytological laboratories, did not clearly confirm the result [Nieminen, 2003] (Table 10). Instead, the latter study showed almost equal sensitivity when compared with the traditional cytological screening technique. Specificity and positive predictive value were at an equal level in automation-assisted screening when compared to manual conventional screening. These parameters were reported only in the latter study (Table 11 and Table 12). Table 10. The number (N) and proportion (/1000) of screenees by histology and study arm. Odds ratios (OR) with the 95% confidence intervals (CI) of histologically verified cervical lesions in the Papnet arm in comparison with the conventional screening arm (logistic regression) (Kok, 1996: table A; Nieminen, 2003: table B). A Histology Papnet arm Total 65527 Conventional arm Total 25767 OR p N /1000 N /1000 Invasive cancer 42 0.64 8 0.31 2.16 P < 0.05 In situ carcinoma 79 1.20 18 0,68 1.76 P < 0.05 CIN3 124 1.89 44 1,70 1.11 N.S OR CI B Histology Papnet arm Conventional arm Total 36,225 Total 72,461 N /1000 N /1000 Invasive cancer 3 0.08 4 0.06 1.50 0.30-6.80 CIN 3 51 1.4 100 1.4 1.02 0.72-1.42 CIN2 51 1.4 104 1.4 0.98 0.70-1.36 CIN1 40 1.1 96 1.3 0.83 0.57-1.20 36,080 996 72,157 996 1.00 reference Normal and other 95 Table 11. Specificity of the Papnet and conventional Pap-smear test with cut off levels of ASCUS+ and LSIL+ for invasive cancer and for an outcome of CIN2+ or invasive in primary screening setting. Total N=108205 women [Nieminen, 2003] Negative histology Negative Pap smear Specificity % Papnet 36,222 33,447 92.3 Conventional 72,453 67,241 92.8 Papnet 36,171 33,447 92.5 Conventional 72,353 67,240 92.9 Papnet 36,222 35,972 99.3 Conventional 72,453 71,890 99.2 Papnet 36,171 35,970 99.4 Conventional 72,353 71,887 99.4 Cytological threshold: ASCUS+ Outcome: invasive cancer Outcome: CIN2+ Cytological threshold: LSIL+ Outcome: invasive cancer Outcome: CIN2+ Table 12: Positive predictive values (PPV, %) of Papnet and of the conventional cytology, and the difference in the PPV (Papnet vs. conventional) with its p-value for cytology at threshold LSIL+ and ASCUS+, by various histologically confirmed outcomes in a primary screening setting. Total N=108205 women [Nieminen, 2003]. Cytology threshold LSIL+ Histological outcome Papnet N=252 PPV (N) Invasive cancer 1.2 Difference Papnet vs. conventional (p-value) Papnet N=2,777 PPV (N) 0.5 (p=0.49) 0.1 CIN3+ 20.6 (52) 17.9 (101) 2.8 (p=0.35) CIN2+ 40.1 (101) 35.2 (199) CIN1+ 55.2 (139) 50.8 (287) (3) Conventional N=565 PPV (N) Cytology threshold ASCUS+ 0.7 (4) (3) Conventional N=5,214 PPV (N) 0.1 Difference Papnet vs. conventional (p-value) (4) -0.0 (p=0.65) 1.9 (54) 2.0 (103) -0.0 (p=0.92) 4.9 (p=0.18) 3.8 (105) 4.0 (207) -0.2 (p=0.68) 4.4 (p=0.25) 5.2 (145) 5.8 (303) -0.6 (p=0.28) 96 The technological development is very rapid in this branch. New technology is emerging and some of the older devices are no longer commercially available. When implementing the new methods, it is necessary to carefully ascertain and evaluate the performance of the method in primary (public health) screening up to the final invasive end points with randomised prospective studies. Thus it is important to organise the trials in such a way that the technology studied can be used for several years in the trial, irrespective of its current or future commercial availability [Nieminen, 2003]. Conclusion The few randomised prospective studies and also the other performance studies have shown that automation assisted screening may be feasible as a part of routine primary screening and it seems to perform at least equally well compared to conventional organised well working screening programme with devices tested. Automation assisted screening can eventually improve the results of a suboptimal screening organisation, but it may be very difficult to beat the results of a well organised, high quality screening. However, it seems to be possible to do more samples with same quality. Presently there is a quiet moment in the field of automation assisted screening because of nonmedical reasons, but in the near future new generation of screening devices are launched to the market. These new models should also be tested in prospective randomised trials before adopting them in to the routine screening. 97 6. Colposcopy (Joe JORDAN, Jean-Jacques BALDAUF, Daniel DA SILVA, Marc ARBYN) 6.1. Description The colposcope is a type of loop, which allows observation of the cervix and vagina, under optimal illumination at magnification between x6 and x40. The aim of colposcopy is to allow the trained colposcopist to identify a premalignant disease of the cervix. In a premenopausal woman, examination can be carried out at any phase of the menstrual cycle, but it is optimally performed during the estrogenic phase. In patients with atrophic cervical epithelium or cervico-vaginitis, examination should be carried out after prior estrogenic preparation or appropriate antiseptic treatment. It is better not to perform colposcopy after pelvic examination or after a cervical smear has been taken. Scraping of the cervix may cause mucosal erosions or bleeding and hinder examination of the endocervix. After examination of the vulva, an appropriate speculum is inserted taking due care not to injure the cervix. Examination should be started at a low magnification after rinsing the cervix with normal saline and removing any excess cervical mucus. The green filter may be used at this stage of the examination to observe the vascular patterns. Prior to colposcopy, a 3 or 5 % acetic acid solution is applied to the cervix. An acetowhite reaction occurs when the squamous epithelium is abnormal. Acetic acid causes tissue oedema and superficial coagulation of intracellular proteins, thus reducing the transparency of the epithelium. Unfortunately, not all areas of acetowhite epithelium indicate the presence of premalignant disease: for example, areas of immature metaplasia are densely aceto-white. A further technique, is to apply Schiller’s iodine or lugol solution. Normal squamous epithelium is rich in glycogen and stains dark brown with iodine, whereas premalignant squamous epithelium is deficient in glycogen and is non-staining. It is a good method for demarcating abnormal areas when the cervix is actually being treated. Again, not all nonstaining areas represent premalignant disease. Complete colposcopic examination requires observation of the original squamous epithelium, the entire transformation zone, the squamocolumnar junction and as much of the columnar epithelium of the cervix as possible. Locating the squamocolumnar junction is a key procedure in colposcopic interpretation. If the squamocolumnar junction is not or only partially visible, i.e. if the internal - endocervical - limit of the normal or atypical squamous epithelium is not entirely apparent, then the colposcopy is unsatisfactory. Colposcopy requires long-term experience to acquire an expertise in colposcopic pattern recognition. The expert colposcopist may be able to predict the histological diagnosis quite accurately but in general the colpo-histological correlation is only moderate. Even in several years of colposcopic practice, the inter-observer and intra-observer variations in colposcopic interpretations may not reach Kappa values greater than 0.50. The specificity of colposcopy is low, due to over-interpretation of aceto-white areas in the transformation zone. The sensitivity is with regard to endocervical lesions. Micro-invasive carcinoma can be misinterpreted as well. 98 Once the colposcopic examination is completed, it is essential that all observations be entered on a structured colposcopy chart. The chart should show the situation of the squamocolumnar junction and clearly define the topography and nature of the different lesions, as well as biopsy sites (see chapter 2 and chapter 8). 6.2. Indications for colposcopy Colposcopy is not intended to be a screening tool because of its low specificity. In case of cytological abnormalities, colposcopy with directed biopsies, cone biopsy and or endocervical curettage should be performed before any form of treatment is given n order to confirm the cervical lesion and determine its severity, its topography and its extension. Colposcopy is an essential triage method that orients diagnostic exploration. For a more extensive description of indications and best practice guidelines please refer to chapter 8. 99 7. HPV DNA detection (Joakim DILLNER, Pär SPAREN, Marc ARBYN) 7.1. Human papillomavirus infections 7.1.1. Introduction Human papillomavirus (HPV) is the most common sexually transmitted infection. Over 90 different types of HPV have been identified and fully sequenced, while over 120 putative types exist that have been partially characterized [zur Hausen 1999; zur Hausen 2000]. All HPV types are epitheliotropic, completing the growth cycle only in differentiating keratinocytes of the skin and the anogenital and oropharyngeal mucosa. Since the specific host cell receptor(s) for HPV have not been determined, it is not known if the strict tropism is determined at the receptor level or is determined by host factors required for replication [Evander, Frazer et al. 1997]. Approximately 35 HPV types are known to infect the human genitalia, causing a range of clinical states including asymptomatic infection, genital warts, cytologic abnormalities of the cervix, and invasive cervical cancer [zur Hausen 1999]. HPV types are assigned numerical designations once the DNA sequence has been established and a comparison to previously known types have found less than 90% homology in the L1, E6 and E7 regions of the virus [de Villiers 1999]. Isolates with more than 90% homology to known HPV types are classified as subtypes. The different HPV types are subdivided into two categories: “high risk” and “low risk, originally based on whether the HPV type could or could not be found in cervical cancer or CINIII specimens. The HR-HPV types show phylogenetic relatedness. Individuals infected with low risk viruses have a very low risk for developing of cervical cancer. The low risk types such as HPV 6 and HPV 11 are associated with benign, hyperproliferative lesions, commonly referred to as genital warts, or condyloma acuminata [Gissmann, Wolnik et al. 1983]. High risk types such as HPV types 16, 18, and others cause dysplastic lesions of the cervix, including invasive cancer. The causative relationship between HPV and cervical carcinoma has provided the incentive to target HPV in cervical cancer prevention efforts. This chapter will deal both with the use of HPV testing in cervical cancer screening, as well as the prospects for development of a safe and effective prophylactic vaccine and the impact it would be predicted to have on cervical cancer screening programs. Rate and determinants of acquisition of genital tract HPV infection The epidemiological studies described below were mainly performed using cervical specimens from young women. These studies indicate that HPV infection is characterized by a very high rate of acquisition. A two-year follow-up of previously uninfected female university students in the United States found a cumulative incidence of HPV infection (any type) of 32.3% [Winer, Lee et al. 2003]. The most important determinant of HPV acquisition is a change of sexual partner, where each change of sexual partner involves a substantial risk for HPV infection. In Sweden, the risk for seroconversion to HPV 16 increases linearly approximately 4% for each life-time sexual partner up to a plateau of about 32% among women with an average of eight lifetime sexual partners [Dillner, Kallings et al. 1996]. A longitudinal cohort study of teenage girls found that without sexual experience, none became seropositive for HPV 16 or HPV 33, whereas among girls who had had five or more partners, 54% were positive at some point in time [Andersson-Ellstrom, Dillner et al. 1994] [Andersson-Ellström, Dillner et al. 1996]. An interesting determinant of acquisition is how long the partners have known each other before having sex, with risks for HPV acquisition being substantially higher if sex occurs with 100 a partner known for less than eight months [Winer, Lee et al. 2003]. This may be related to the fact that HPV infection usually has a self-limited course (see below). Having a male partner reporting a high life-time number of sexual partners or other concomitant partners is also a risk factor for cervical cancer [Winer, Lee et al. 2003]. Finally, lack of circumcision appears to promote penile HPV infections that do not clear and become persistent which also would tend to favor HPV transmission [Castellsague, Bosch et al. 2002]. Condom use has shown protection against HPV infection in several studies [Karlsson, Jonsson et al. 1995] [Bleeker, Hogewoning et al. 2003; Hogewoning, Bleeker et al. 2003], but many studies have failed to detect a significant protection. Several reasons for the inconsistent protection have been proposed, including incorrect or inconsistent use, and the fact that the HPV infection may exist in a wider area of the genital epithelium than is covered by the condom [Winer, Lee et al. 2003]. HPV infection in virginal women has in several studies been found to be rare or non-existent [Krüger Kjaer, Chackerian et al. 2001] The very low prevalence of HPV infection among virginal women has been associated with non-penetrative sexual contact [Winer, Lee et al. 2003]. Neonatal HPV infection has been the subject of much discussion. Several studies have reported that HPV DNA can be commonly detected among children born to HPVinfected mothers. Since HPV seropositivity is very rare among pre-adolescents [af Geijersstam, Eklund et al. 1999; Plummer M and Franceschi 2002], it would appear that neonatal HPV DNA contamination does not usually lead to infection. An extensive study that also included an investigation of whether the children were seroconverted for HPV (a classical criterion for infection), did document that neonatal HPV infection can occur, although it was quite rare [Manns, Strickler et al. 1999]. Rate of clearance and determinants of clearance/persistence. HPV infection is characterized by a very high rate of spontaneous clearance. Several cohort studies of young HPV DNA positive women have been quite consistent in their estimates of a 70% clearance rate during a 12-month follow-up [Hildesheim, Schiffman et al. 1994; Evander, Edlund et al. 1995; Ho, Bierman et al. 1998]. After 18 months, more than 80% of infections have cleared [Ho, Bierman et al. 1998] and a five year follow-up study found a clearance rate of 90% [Elfgren, Kalantari et al. 2000]. Clearance rates are lower in older women. HPV-positive women of approximately 35 years of age were followed for 19 months on average, and only 55% cleared their initial infection. Women with persistent type-specific positivity are at increased risk to develop invasive cervical cancer [Nonnenmacher, Hubbert et al. 1995; Remmink, Walboomers et al. 1995; Wallin, Wiklund et al. 1999]. Women with type-specific HPV persistence who had normal Pap smears have been commonly found to have an undiagnosed high-grade CIN (in about 29% of cases) [Elfgren 2003]. The determinants of HPV persistence and clearance are therefore also key determinants of cervical cancer risk. Several studies have found that HPV 16 (the most commonly detected type in cervical cancers) has a higher propensity to persist than other HPV types do [Hildesheim, Schiffman et al. 1994; Brisson, Bairati et al. 1996; Ho, Bierman et al. 1998; Moscicki, Shiboski et al. 1998; Elfgren, Jacobs et al. 2002]. 7.1.2. HPV in relation to other risk factors for cervical cancer HPV infection is by far the most significant risk factor for cervical cancer. Relative risks usually exceed 100 in case control studies and are usually in the range of 10 to 30 in prospective studies [Lehtinen, Luukkaala et al. 2001; Clifford, Smith et al. 2003]. The attributable proportion (fraction of cervical cancers predicted to disappear if the risk factor 101 was eliminated) is in excess of 50% even when only counting HPV 16. If both HPV 16 and HPV 18 were eliminated, almost 70% of cervical cancers would be prevented. If the four of the most common oncogenic HPV types (HPV types 16, 18, 31 and 45) were eliminated, a protective effect of about 80% is predicted. Systematic monitoring of which HPV types actually cause cervical cancer in various parts of the world is important in order to design of HPV vaccines and to predict the effect of vaccination in different populations. The systematic world-wide review by Clifford et al, gives a good overview of the type distribution in invasive cervical cancers. The most common HPV types were, in order of decreasing prevalence, HPV16, 18, 45, 31, 33, 58, 52, 35, 59, 56, 6, 51, 68, 39, 82, 73, 66 and 70. For squamous cell cervical cancer the most common type was HPV 16, followed by HPV 18, whereas for adenocarcinoma the order between these two types was reversed. However, there are some deviations from the typical distribution of HPV types, e.g. HPV types 52 and 58 have been reported to be quite common in studies from Taiwan, China, Japan, Mozambique [Castellsague, Menendez et al. 2001] and Costa Rica [Wang, Schiffman et al. 2003]. There is an interesting overrepresentation of three HPV types in invasive cancer series as compared to high-grade CIN series, namely HPV types 16, 18 and 45, suggesting that these three types are not only able to cause high-grade CIN, but that high-grade CIN caused by these types may have a greater risk to progress to cervical cancer [Clifford, Smith et al. 2003] Most of the other known risk factors for cervical cancer are the same as those that determine either HPV acquisition or persistence, with some exceptions, as described below. Studies of smoking as a determinant of HPV acquisition or persistence have been inconsistent. However, smoking has consistently been associated with cervical cancer. The issue of whether this could be due to residual confounding by HPV has been repeatedly discussed, as smoking habits correlate with sexual behavior in several populations. A dose-response effect is seen and randomized intervention studies of smoking cessation among women with low grade CIN have shown a beneficial effect [Cuzick, Szarewski et al. 1995]. At present, the bulk of the evidence indicates that smoking may indeed be a cervical cancer risk factor. If so, it probably acts at the CIN progression stage in cervical carcinogenesis. Oral contraceptive pills (OCPs) have been studied as a risk factor for cervical cancer. A large series of studies over a number of years have shown inconsistent associations with cervical cancer. OCP use is of course intimately associated with sexual habits, which may lead to confounding in some populations. However, recent systematic reviews of the literature have indicated that OCP use with duration of more than 5 years is a cervical cancer risk factor [Smith, Green et al. 2003]. Multiparity is consistently detected as a risk factor in populations where a substantial percentage of the women have multiple children [Schiffman and Brinton 1995]. The mechanism is unclear, with hormonal effects and/or repeated trauma to the cervix being the most commonly proposed explanations. A series of early cross-sectional case-control studies found a strong association between infection with herpes simplex virus (HSV) and cervical cancer [Aurelian 1984]. The case for HSV as a risk factor became weaker when several prospective cohort studies failed to find an association [Vonka, Kanka et al. 1984; Lehtinen, Hakama et al. 1992]. Recently, a large cross-sectional case-control study found an association between HSV and cervical cancer, but recent prospective studies have found no association. Prospective studies are less prone to selection biases and, perhaps more importantly in this case, they do not have the problem of reversed causality. HSV is a common virus that persists in a latent form in the body and may be reactivated by a serious disease such as cancer. It is therefore plausible that the association 102 seen selectively in studies based on samples taken after cancer diagnosis may be due to the cancer causing a virus reactivation rather than a virus being a risk factor for the cancer. Infection with Chlamydia trachomatis has been repeatedly found to be associated with cervical neoplasia and invasive cancer in cross-sectional case control studies. This association has commonly been thought to be attributable to confounding by HPV. During recent years, an association with Chlamydia has also been a consistent finding of several biobank-based prospective studies with invasive cervical cancer as endpoint. In a large population-based cohort study of HPV-positive women, that examined most of the proposed risk factors for HPV persistence, history of Chlamydia infection was the only significant risk factor for HPV persistence [Silins, Tedeschi et al. 2002]. In the studies of cervical cancer it is noteworthy that C. trachomatis consistently associated with squamous cell carcinoma of the cervix, but not cervical adenocarcinoma or other anogenital cancers such as vulvar or vaginal cancer, even though these also have HPV and sexual behavior as a risk factor [Koskela, Anttila et al. 2000; Anttila, Saikku et al. 2001; Smith, Munoz et al. 2002]. More work is needed to clarify the true role of Chlamydia infection in cervical cancer. 7.1.3. Immunogenetic factors: an increased risk for cervical cancer? Lastly, immunogenetic factors have been implicated in cervical carcinogenesis, with class II HLA haplotypes being the most well studied ones. Although there is a substantial heterogeneity between studies [Konya and Dillner 2001; Daling, Madeleine et al. 2002], DQw3 and DR15/DQ6 are the ones that have shown most consistent associations. DR15/DQ6 increases the risk for cervical cancer in particular among HPV 16-positive subjects, suggesting a specific interaction with HPV 16 epitopes rather than a more general immunoregulartory phenomenon as explanation. The association with DR15/DQ6 has in particular been found in a series of studies from different groups in various Scandinavian countries [Sanjeevi, Hjelmdahl et al. 1996; Helland, Olsen et al. 1998; Beskow, Josefsson et al. 2001; Ghaderi, Wallin et al. 2002]. It is not entirely clear if the association is more pronounced in Scandinavia or if it has been more readily detected owing to the Scandinavian tradition of minimizing selection bias by performing population-based studies. Similar tendencies have also been reported in other populations, notably in New Mexico and the U.K. [Glew, DugganKeen et al. 1993; Apple, Becker et al. 1995]. DR15/DQ6 has been associated with both HPV 16 infections becoming persistent rather than clearing, CIN, and cervical cancer in longitudinal studies [Beskow, Josefsson et al. 2001] 7.2. HPV tests: principles and laboratory practises 7.2.1. Quality control criteria Reproducibility: The early literature on epidemiology of HPV based on HPV DNA testing was inconsistent. Careful validation of technologies subsequently showed that some of the early assays commonly gave misclassified results. Even a moderate amount of misclassification in HPV testing can lead to severe underestimations of relative risks. This has been most clearly pointed out by Schiffman and Schatzkin [Schiffman and Schatzkin 1994] who found that 2 essentially similar studies performed in the same laboratory, one study with moderately reproducible technology, the other with carefully validated PCR technology 103 resulted in completely different conclusions: Estimations of the relative risk for CIN in case of HPV positivity of 2.3 or >10, respectively. Although HPV DNA tests have improved greatly in recent years, clinicians and investigators should remember the possibility that positivity may not always reflect a true infection. Blinded reanalysis of a panel containing the same set of samples, on 2 different occasions, is a simple and readily doable method to assess the current standards of testing. Sensitivity and specificity: Assessing the sensitivity and specificity of HPV tests is not straightforward, as these measures are dependent on knowledge of results of a “Gold standard test” that should reflect the truth. For clinical practice evaluation purposes, it is also more useful to consider test performances in relation to the desired properties of the test, rather than in relation to some form of laboratory standards. In this context the desired property of the test is that testing should reduce the risk of cervical cancer. There are two major sides of this desired property: 1. Negative women should have a low risk of developing cervical cancer. The duration of this low risk determines testing frequency and general cost-efficiency of a screening program. 2. Positive women should have a high risk of developing cervical cancer. For positive women there should be a treatment and surveillance option that reduces their risk for cervical cancer. These basic criteria are more complicated than they may seem at a first glance. Whereas it is abundantly clear from a large amount of studies that HPV-negative women are at a very low risk to have high-grade CIN or cancer at the time they are tested, much less data exists regarding the duration of this low risk. A 1997 modeling study that assumed the duration of low risk to last only 1 year found that HPV screening was not advantageous over presently used programs, but would be both more effective and cost-effective if the low risk lasted for 10 years (41). Today, there exists a substantial amount of longitudinal evidence that has found that HPV-testing has indeed a long-term predictive value for future occurrence of high-grade CIN or cervical cancer [Lorincz and Richart 2003]. None of these longitudinal studies has compared different HPV tests to determine which one has the best desirable test characteristics in providing a long-term protective effect against cervical cancer, but it can be concluded that both one of the general primer PCR test systems (GP5+/GP6+) and the Hybrid Capture II HPV test (see below) do confer at least some longterm protection. 7.2.2. Types of HPV tests Based on these considerations, there are three major HPV DNA tests that could be contemplated for use in screening: 1. Hybrid Capture II is a commercially available HPV test which is based on RNA-DNA hybridization and sensitive detection of the formed DNA/RNA hybrids, but which is not based on target DNA amplification. This test has the obvious advantage of availability in a standardized kit format that can be used by most laboratories. The test has been used in several longitudinal studies and has been shown to have sensitivity for detection of high-grade CIN and cancer that is considered to be useful. A disadvantage is that the test does not provide the possibility to determine the HPV type in the sample. There is only an answer for presence or absence of oncogenic HPV, as the test hybridizes with a mixture of probes for the oncogenic HPV types. Apart from the HPV types that the test is designed to detect, the test has also been found to detect additional HPV types that cross-hybridise with the probe mix (47). 104 2. General primer PCR based on the primer pair GP5+/GP6+. This test amplifies a 140 bp region in the L1 gene of papillomaviruses and has shown an amazing specificity and sensitivity for prediction of high-grade CIN. The test has been developed to a simple, rapid enzyme immunoassay-PCR (EIA-PCR) format that is suitable for processing very large amounts of samples. An international validation study that was performed before the start of a primary HPV screening trial in Sweden found limited interlaboratory variation (Kappa statistics of at worst 0.88, at best 1.0) . Comparison of reproducibility between different HPV tests in the same study found comparatively low agreement, implying that intermethod variability is considerably greater than intramethod interlaboratory variation. HPV typing of positive samples can be accomplished by several methods. The most commonly used method is reverse hybridization, originally reported by Forslund et al, 1994, which hybridizes the labeled PCR products with HPV genomes or probes immobilized on membranes. Comparison of reproducibility of different HPV tests for determining the exact HPV type in the sample found unacceptably low agreements. At present, it cannot be investigated with certainty which HPV types that it is cost-effective to screen for, because meta-analyses of literature using different HPV typing methods can not be performed. 3. General primer MY09/11 system This PCR test amplifies a 450 bp region in the L1 gene. The test is presently used with an improved primer design (PGMY09/11 primers), that has been found to have better consistency and better sensitivity for a broad range of HPV types than the original MY09/11 primers (42). There are several methodological studies that have compared this test to either the Hybrid Capture or the GP5+/GP6+ PCR system. The sensitivity for detection of cervical neoplasia appears to be about the same, but there is a disturbing amount of discrepant results. Qu et al found an overall agreement of 0.79 (kappa statistic) (48) and Elfgren et al reported a kappa statistic of 0.68 when comparing MY09/11 and GP5+/GP6+ (49). Peyton et al found a kappa of 0.58 when comparing MY09/11 and Hybrid Capture (50). Part of the discrepancies, but only part, can be explained by differential sensitivities for certain HPV types (e.g. the MY09/11 primers are less sensitive for amplification of HPV 35 and GP5+/GP6+ are less sensitive for amplifying HPV 53 and 61. There is also a striking difference in the amount of samples that are simultaneously positive for several HPV types by the different systems, with MY09/11 assays reporting much more multiple HPV positivities (48). It is not clear whether the difference is attributable to a reduced ability of the GP5+/GP6+ to amplify multiple infections or whether there are inherent problems with the subsequent HPV typing in the MY09/11 system. 4. SPF10 is an ultrasensitive short fragment PCR from the L1 region. [Kleter, van Doorn et al. 1998; Kleter, van Doorn et al. 1999]. Whereas studies using this method have found similar proportions of women with current or future cervical lesions to be positive, there is a higher proportion of cytologically normal women, who do not develop CIN on follow-up, that test positive using this system (Review by Snijders, 2003), resulting in lower relative risks and positive predictive values. As discussed above, high analytical sensitivity in terms of ability to detect low amounts of virus 105 does not necessarily increase the sensitivity of the test for screening purposes, as detection of a very low viral load is not associated with an increased risk for future CIN [Josefsson, Magnusson et al. 2000; Ylitalo, Sorensen et al. 2000]. In summary, although HPV testing in general has advanced enormously in performance, the major available tests that are conceivable for use in primary HPV screening have been evaluated to somewhat different extents as desirable screening tests. It is clear that continuous quality control monitoring is necessary for all studies and clinical uses and that further improvements to reduce discrepancies would be desirable. With regard to the use of general primer PCR-based tests, the fact that they are not yet commercially available is currently a significant drawback. 7.3. Clinical applications of HPV testing 7.3.1. Use of HPV testing in primary screening Assessments on the effects of various possible actions to increase the effectiveness of cervical cancer prevention have shown that the most effective action is to ensure a high attendance rate of the population. The second most effective action is ensuring that women with cancer or precursor lesions who do attend will not have a false negative diagnosis. Ninety-five percent or more of cervical cancers and high-grade CIN lesions are HPV-positive, and HPV DNA testing is well established to have an increased sensitivity, compared to the Pap smear, for detection of prevalent high-grade CIN. Apart from the promise of an increased sensitivity for high-grade CIN, the fact that most adenocarcinomas are HPV-positive holds promise for possible improvement of cervical screening programs, as cytological screening has limited effect against cervical adenocarcinoma. The major question regarding the use of HPV DNA testing is whether the advantage of increased sensitivity results in an overall improvement considering the increased costs and, usually, lower specificity of HPV testing. These guidelines are based on identification of the most recent systematic review of the literature. In addition, the information in the databases of Europe against Cancer-sponsored trials of HPV testing have been considered. In the systematic review by Lörincz and Richart, trials of HPV DNA testing were compared. They concluded that HPV DNA testing was a more sensitive indicator for prevalent highgrade CIN than either conventional or liquid cytology. A combination of HPV DNA and Papanicolaou testing had almost 100% sensitivity and negative predictive value. The specificity of the combined tests was slightly lower than the specificity of the Papanicolaou test alone, but this decrease could potentially be off-set by greater protection from neoplastic progression and cost savings available from extended screening intervals. One "doublenegative" HPV DNA and Papanicolaou test indicated better prognostic assurance against risk of future CIN 3 than 3 subsequent negative conventional Papanicolaou tests. The basic performance indicators (Sensitivity, specificity, positive and negative predictive value) of HPV DNA testing and Pap smear are shown below (modified from Lörincz and Richart, with permission). 106 Figure 1. Sensitivity of Papanicolaou, HPV DNA, and Papanicolaou and HPV DNA, for CIN 2/3 (London, Reims, Newfoundland, Cape Town [individual tests only; the combined Papanicolaou and HPV DNA tests in this series refer to CIN 3], Shanxi [individual tests only; the combined Papanicolaou and HPV DNA tests in this series refer to CIN 3]) or CIN 3 (Seattle, Guanacaste, Cape Town [both Papanicolaou and HPV DNA tests; the individual tests in this series refer to CIN 2/3], Shanxi [both Papanicolaou and HPV DNA tests; the individual tests in this series refer to CIN 2/3], Hannover, Morelos). Data are for women aged 30 years and older, except for the study from Newfoundland. Combined Papanicolaou and HPV DNA test data were unavailable for the London and Seattle studies. 107 I find this approach to early if you say earlier that more studies have to be done.I would say that many algoritm evaluations are presently undrway Figure 2. Specificity of Papanicolaou, HPV DNA, and Papanicolaou and HPV DNA, for CIN 2/3 (London, Reims, Newfoundland, Cape Town [individual tests only; the combined Papanicolaou and HPV DNA tests in this series refer to CIN 3], Shanxi [individual tests only; the combined Papanicolaou and HPV DNA tests in this series refer to CIN 3]) or CIN 3 (Seattle, Guanacaste, Cape Town [both Papanicolaou and HPV DNA tests; the individual tests in this series refer to CIN 2/3], Shanxi [both Papanicolaou and , HPV DNA tests; the individual tests in this series refer to CIN 2/3], Hannover, Morelos). Data are for women aged 30 years and older, except for the study from Newfoundland. Combined Papanicolaou and HPV DNA test data were unavailable for the London, Seattle, and Reims studies. 108 Zielinski et al J.Pathol 2001 Figure 3. Positive predictive value of Papanicolaou, HPV DNA, and Papanicolaou and HPV DNA, for CIN 2/3 (London, Reims, Newfoundland, Cape Town [individual tests only; the combined Papanicolaou and HPV DNA tests in this series refer to CIN 3], Shanxi [individual tests only; the combined Papanicolaou and HPV DNA tests in this series refer to CIN 3]) or CIN 3 (Seattle, Guanacaste, Cape Town [both Papanicolaou and HPV DNA tests; the individual tests in this series refer to CIN 2/3], Shanxi [both Papanicolaou and HPV DNA tests; the individual tests in this series refer to CIN 2/3], Hannover, Morelos). Data are for women aged 30 years and older, except for the study from Newfoundland. Combined Papanicolaou and HPV DNA test data were unavailable for the London, Seattle, and Reims studies. 109 Figure 4. Negative predictive value of Papanicolaou, HPV DNA, and Papanicolaou and HPV DNA, for CIN 2/3 (London, Reims, Newfoundland, Cape Town [individual tests only; the combined Papanicolaou and HPV DNA tests in this series refer to CIN 3], Shanxi [individual tests only; the combined Papanicolaou and HPV DNA tests in this series refer to CIN 3]) or CIN 3 (Seattle, Guanacaste, Cape Town [both Papanicolaou and HPV DNA tests; the individual tests in this series refer to CIN 2/3], Shanxi [both Papanicolaou and HPV DNA tests; the individual tests in this series refer to CIN 2/3], Hannover, Morelos). Data are for women aged 30 years and older, except for the study from Newfoundland. Combined Papanicolaou and HPV DNA test data were unavailable for the London and Seattle studies. AGE GROUPS TO BE TARGETED AND SCREENING INTERVALS FOR HPV SCREENING PROGRAMS. The greatest cost-benefit of ordinary Pap smear screening programs is when a country goes from no screening at all to one life-time cytological test. This single test at the optimal age, about 35 years of age, is estimated to give 25% of the protective effect of an entire screening program with smears every third year. By analogy, the greatest relative benefit of HPVscreening is expected when a country goes from no HPV testing to one life-time HPV test. The time point of this life-time test should be sufficiently late in life such that most HPV exposures have already occurred, but sufficiently early that the risk that invasive cervical cancer has already developed is low. Several large studies have evaluated the prevalence of HPV infection in various age groups. Although HPV prevalence is high in younger age groups, this prevalence declines markedly with increasing age. This may be attributed to the fact that most infections are cleared spontaneously and changes in sexual behavior by age, resulting in decreasing rates of acquisition. By 35 years of age, the prevalence of infection with oncogenic HPV types is 1-8% 110 [Cuzick, Szarewski et al. 1995; Hagmar, Kalantari et al. 1995; Chua, Wiklund et al. 1996; Rozendaal, Walboomers et al. 1996; Kjellberg, Wiklund et al. 1998; Cuzick, Beverly et al. 1999; Forslund, Antonsson et al. 2000]. The strongly increasing age-specific incidence in the ages shortly before 40 years of age, imply that the optimal age to start HPV screening has to be after 30 years of age, but before 40 years of age. The Europe against Cancer-sponsored trial in Sweden of nationwide population-based HPV screening of 12.500 35-year old Swedish women found a joint prevalence for the 14 most common oncogenic HPV types (types 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66 or 68) of 7.3%. Evident conclusions are that: i) cost-efficiency of HPV testing will be poor in age groups <30 years of age, because HPV is more common and cervical cancer is rare; ii) HPV prevalences may vary between different countries and between regions within countries (e.g. between urban and rural regions) resulting in that cost-efficiencies may vary between populations. There is some evidence for differences between populations in the systematic reviews of the literature on predictive values of HPV testing; iii) to be helpful in the planning and evaluation of the potential usefulness of HPV screening programs, HPV-epidemiological studies should be population-based, large-scale, use established reference methods for HPV testing and target age groups where HPV screening is conceivable (i.e. 30-60 years of age). RECOMMENDATIONS ON AGE GROUPS AND SCREENING INTERVALS FOR HPV TESTING: Research is needed to determine the age-specific epidemiology of HPV infections in different populations. Cost-efficiency modelling studies need to be repeated in different populations, that may differ in associated costs, rates of HPV infection of different types as well as in background rates of other risk factors for cervical cancer. POSSIBLE STRATEGIES TO IMPROVE THE SPECIFICITY OF HPV TESTING FOR PRIMARY SCREENING Longitudinal studies of HPV infections show that the infections normally clear within 1-2 years [Hildesheim, Schiffman et al. 1994; van Doornum, Prins et al. 1994; Evander, Edlund et al. 1995; Ho, Burk et al. 1995]. In a population-based study of 611 women 19-25 years old, 20.3% were positive for HPV DNA at enrollment. However, these same 276 women were also tested 2 years later, and only 2 women tested positive for the same oncogenic HPV type as 2 years earlier [Evander, Edlund et al. 1995]. The high rate of clearance of HPV DNA on follow-up is a consistent finding also in carefully controlled studies using extremely sensitive detection methods (nested PCR)(3). However, it is clear that the women who develop CIN or cancer are persistently positive for HPV DNA in repeated tests [Remmink, Walboomers et al. 1995; Chua and Hjerpe 1996; Rozendaal, Walboomers et al. 1996; Cuzick, Sasieni et al. 1999]. Simply repeating the HPV test to identify if the woman is persistently infected or not is therefore one possible method to increase the specificity of primary HPV screening for identifying the women who are truly at risk of developing cervical cancer. Two HPV tests with a 1-year interval will, among 35-year-old women, identify about 50% of initially HPVpositive women as being persistently positive [Forslund, Antonsson et al. 2000]. The 111 clearance rate among 35-year-old women is somewhat lower than among adolescents, presumably because of an accumulation of persistent infections with time. Another possible method to identify the women at highest risk is by testing for a high amount of viral DNA, “high viral load” [Clavel, Masure et al. 1999; Josefsson, Magnusson et al. 2000; Ylitalo, Sorensen et al. 2000]. Contamination of samples at the clinic or at the laboratory is a notorious problem in PCR assays. However, most contaminated samples contain very low levels of virus. Restricting analyses to samples found to contain substantial amount of virus therefore increases the probability that a positive result does indeed reflect a true infection and thereby increases the predictive value of the test. HPV serology is another method that is also known to be able to predict the risk of invasive cervical cancer up to 15 years before diagnosis [Dillner, Lehtinen et al. 1997] and is also associated with progression to CIN 3 among HPV DNA positive women [Bontkes, de Gruijl et al. 1999]. For a comprehensive literature review on HPV antibodies, the reader is referred to [Dillner 1999]. Other risk factors that have been found to increase the risk that HPV-positive women develop CIN or cervical cancer are also conceivable screening targets. The HLA haplotypes DQw3 and DR15/DQ6 increase the risk for both CIN and cervical cancer, as determined by metaanalyses of the literature of this subject [Konya and Dillner 2001]. Smoking is consistently reported as a risk factor for invasive cervical cancer, but not as a risk factor for HPV persistence. Indeed, some studies even find an inverse association with HPV persistence [Ho, Burk et al. 1995]. Presumably smoking works only at the later stages of cervical carcinogenesis. Assessing infections with Chlamydia trachomatis may also be a method to predict increased risk of cervical cancer among HPV DNA positive women [Koskela, Anttila et al. 2000]. Finally, testing for HPV integration appears to increase the predictive value that the HPV positive sample is derived from a sample that contains CIN or cervical cancer [Klaes, Woerner et al. 1999]. The possibility of using HPV testing for primary screening and the Pap smear for triaging among HPV-positive women has also been proposed [Lorincz and Richart 2003]. RECOMMENDATIONS ON TRIAGING AMONG HPV POSITIVE WOMEN IN PRIMARY SCREENING Repeated HPV testing has been established as improving specificity without significant loss of sensitivity (HPV persistence is established as being a necessary risk factor for HPV-associated cancers), but has not yet been widely evaluated in practise or in costefficiency models. Several methods for triaging among HPV positive methods have been proposed. Further research on their usefulness is warranted. Such research should be guided by costefficiency modelling studies to better assess which demands on the performance indicators that are required in order for a triaging test to be useful FOLLOW-UP AND LONGITUDINAL PERFORMANCE In screening programs in general, the longitudinal performance indicators are the most relevant ones, as they determine the duration of the protective affect and thus the length of the screening interval and the cost-efficiency of the entire program. Evidence is available from several studies that have followed HPV DNA positive women for up to 10 years. It is consistently found that the positive predictive value of HPV testing is considerably increased, if the risk to have a high-grade CIN during the next 10 years is considered (not merely the risk to have a high-grade CIN at the time point of diagnosis). 112 These observations form the basis for proposals to use the HPV test in screening programs with a lengthened screening interval compared to programs based on Pap smear screening only. However, the fact that the HPV test has a substantial longitudinal predictive value for future development of high-grade CIN also presents problems. To label a previously healthy woman as a high-risk individual for cancer development, requiring repeated tests at frequent intervals, is a considerable psychological stress. The small size of the group of women requiring follow-up and a duration of intensive follow-up after testing HPV positive that is not unreasonably long is necessary for primary HPV screening to be a realistic option. If the status of a healthy HPV-positive woman as a high-risk patient for cancer were permanent, the negative effect of primary HPV screening and associated costs would be considerably greater than if the HPV positivity cleared. However, several studies have now investigated whether conventional treatment (conization) of HPV-positive CIN also results in a clearance of the infection. The answer is unambiguously yes [Bollen, Tjong-A-Hung et al. 1996; Elfgren, Bistoletti et al. 1996; Bollen, Tjong-A-Hung et al. 1997; Chua and Hjerpe 1997; Strand, Wilander et al. 1997; Kjellberg, Wadell et al. 2000; Nobbenhuis, Meijer et al. 2001]. Whether the infection is still present after treatment predicts risk of recurrence of their CIN lesions [Chua and Hjerpe 1997] (Paraskevaidis). These results indicate that follow-up will not be necessary for life, but only until HPV-positive women become HPV-negative. It is currently unknown whether it is possible to augment clearance of HPV infection (in the absence of cytological abnormalities) by some form of treatment. With the current status of our knowledge the clinician would need to monitor the HPV-positive patients either until cervical lesions develop (These can then be treated by currently established treatment protocols) or until the women become HPV-negative. RECOMMENDATIONS: Further research is necessary to better define the longitudinal performance indicators (sensitivity, specificity and positive and negative predictive values) of HPV DNA testing as well as of combined HPV DNA testing and cytology. Research into new methods of specific treatment of HPVinfection would be important to minimise the time HPV-positive women need to be followed-up with intensified screening. Research into optimal follow-up algorithms of HPV-positive women is necessary. USING COST-EFFICACY MODELLING TO DESIGN HPV SCREENING PROGRAMS. In a pioneering series of studies by van Ballegooijen et al, mathematical modelling has been used to assess both what program designs are likely to be most cost-efficient as well as to identify critical areas of uncertainty where research is needed most (van Ballegooijen). Major conclusions that could be drawn from these studies were that the longitudinal performance of the HPV test was critical for achieving cost-efficiency, as the cost and lower specificity of HPV screening needs to be compensated by a longer screening interval in order to be costeffective. The Europe against Cancer-sponsored trial in Sweden has included a component with mathematical modelling of cost-efficacy. The fact that the Swedish trial was population-based and that population-based registry data is available since over 30 years of organised screening results in the possibility to provide reliable input data to the model. As emphasized above, 113 critical input data may differ between populations and it is not certain that the data can be generalised outside Sweden. As the study is not yet published, it is summarised here: Two alternative primary cervical cancer-screening policies were examined. Routine cytological screening was compared with HPV DNA testing as an adjunct to cytology in women over 32 years of age. The aim was to detect or rule out persistent infections with highrisk HPV types and by that improving screening-test performance. This approach could increase sensitivity to detect high-grade cervical lesions (CIN2/3, cancer in situ) and at the same time reduce costs by increasing the screening interval for those women who have negative combined test results. In accordance with recent WHO guidelines, a comparison of cytology mass screening from 32 to 60 years of age was also compared to no screening. Compared with routine cytology screening, one life-time HPV DNA test with a PCR method at 35 years of age as an adjunct to existing 3-yearly cytological screening increased costs and the number of CIN2/3 detected without significant changes in life expectancy or number of detected cervical cancers. However, if combined cytology and HPV testing was performed three times at ages 32, 41 and ended at age 50, costs were the same as for 3-yearly cytology screening, but the life expectancy increased and the number of expected life-time cases of invasive cervical cancer was reduced from 26 to 17 in a modelled cohort of 10.000 women. Reducing the costs of HPV testing in a sensitivity analysis with 33% did not substantially change the cost-effectiveness results. Compared with no screening, a mass-screening program with 3-yearly cytology from age 32 did actually save more health care resources than it utilized (because of the reduction in cervical cancer treatment costs), with a considerable reduction in the number of detected invasive cervical cancers. The results are in line with modelling studies performed in the Netherlands and the United Kingdom. Regarding the cost savings by the screening program, the results are in line with data from another Nordic country (Finland) that also has organised screening and has comparable levels of medical costs. RECOMMENDATION: Design of HPV screening trials, screening policies and/or policy evaluation studies should be based on cost-efficiency modelling studies, specific to each population to be targeted for screening. PRIMARY HPV SCREENING IN GENERAL: What types of studies are necessary and what should their endpoint be? 1. Setting: Experiences of disorganized cytological screening clearly imply that organized screening systems are superior for reduction of cervical cancer incidence. If the future goal is to find new technologies that could be used in organized, population-based call and recall screening systems, this aspect should be considered already at the evaluation stage as it will be valid to estimate how various policies would work (if implemented) only if the trials are performed nested within such programs. 2. Desirable Study Design: Although the epidemiological evidence shows that the cervical cancer protective effect of cervical screening is very strong [Ponte´n, Adami et al. 1995], the fact that cervical screening was not evaluated by randomized trials before implementation has delayed the rational implementation of cervical screening program and resulted in long-standing debates of what the efficacy of the screening really is [Raffle, Alden et al. 1995]. 114 An obvious lesson from history is to not repeat the mistake of introducing a new primary screening program without first performing randomized trials to determine its effect at the population level. However, the demand for randomized studies has been increasingly challenged during recent years. Randomized studies are very costly, resulting in overwhelmingly large amounts of research funds being consumed, particularly if late endpoints such as mortality are desired. They are also slow, providing results only after many years. The health benefits are delayed and the trial results may have become outdated when they finally are obtained, as testing technologies are improved all the time. In the HPV field, the improvement of HPV tests over time is a telling tale. There are also new potential cervical cancer screening markers being developed based on entirely different principles, e.g. the detection of the cell cycle regulatory protein p16INK [Klaes, Friedrich et al. 2001]. The most compelling argument against randomized trials is that their effects may not be generalizable, as the high quality setting of trials run by dedicated scientists is different from the setting that will be used in a public health care policy [Hakama, Elovainio et al. 1991]. The mathematical modeling study has therefore been proposed as an alternative that will provide answers in a timely fashion [Royston 1999]. While there is no arguing that the modeling studies in the HPV screening field have provided valuable information on the potential benefits of HPV screening, it is disturbing to note how different modeling studies produce substantially different results [Cuzick, Sasieni et al. 1999; Sherlaw Johnson, Gallivan et al. 1999; Myers, McCrory et al. 2000]. Part of the discrepancies, but only part, is due to the use of different estimates of the input variables, most notably regarding cost, progression and regression rates, sensitivity and specificity of tests. Input variables are usually estimated from the scientific literature, which varies enormously in quality and the setting of studies. Another alternative type of evaluation is the randomized health care policy, which means that the new policy is not introduced in general but only for some regions or some birth cohorts. In this strategy, research funds are not required and results do apply to a real health care policy, not merely to the research setting. This approach has been successfully applied e.g. in the Finnish mammography program [Hakama, Elovainio et al. 1991]. RECOMMENDATION: A judicious use of a combination of randomised trials, modelling studies and randomised health care policies is suggested. Modeling should be used to investigate optimal settings and study designs for reduction into practice in randomized trials with intermediate endpoints (such as protection against high-grade cervical intraepithelial neoplasia). Effects on intermediate endpoints can then be used in further modeling studies to estimate effects on late endpoints such as mortality and/or to design randomized health care policies. 7.3.2. Use of HPV testing in HPV triaging of equivocal smears The most recent systematic review is the Europe Against Cancer-sponsored meta-analysis by Arbyn et al (2003) [Arbyn, et al. 2003]. The conclusion is that available evidence indicates an improved accuracy of HPV testing, using the Hybrid Capture-II assay, in comparison with the repeat-Pap smear for the detection of high-grade intraepithelial neoplasia of the uterine cervix among women with equivocal cytological results. RECOMMENDATION: 115 Well-validated HPV testing for detection of high-grade intraepithelial neoplasia of the uterine cervix among women with equivocal cytological results in organised screening can be considered. (For a detailed presentation see Chapter 8 in Guidelines). 7.3.3. Use of HPV testing in follow-up post treatment of CIN The most current systematic review (Paraskevaidis, Arbyn, 2004, in press) is the basis for these guidelines. The standard treatment for CIN is different types of cervical surgical procedures. Excision is effective and enables histopathological examination of the resulting cone biopsy contrary to cryotherapy and laser vaporization. Evaluation of the excision margin status does not reliably predict residual or persistent disease [Jansen, Trimbos et al. 1994; Soutter, de Barros Lopes et al. 1997]. Recurrent CIN is reported in 0.3-23% of women with free cone margins and in 6.9-84.8% of women without free margins [Dobbs, Asmussen et al. 2000; Paraskevaidis, Lolis et al. 2000; Gonzalez, Zahn et al. 2001; Paraskevaidis, Koliopoulos et al. 2001]. Follow-up using Pap-smears after treatment is still the most common procedure[Jansen, Trimbos et al. 1994] but has been questioned because of relatively low and variable sensitivity for CIN detection [Martin-Hirsch, Koliopoulos et al. 2002]. Because HPV infection is an essential cause of CIN, HPV DNA detection may be preferable as a rapidly occurring intermediate endpoint for monitoring treatment efficacy. Several studies have found that HPV DNA is commonly cleared after effective treatment for CIN and that persistence of HPV DNA predicts recurrence[Elfgren, Bistoletti et al. 1996; Chua and Hjerpe 1997; Kanamori, Kigawa et al. 1998; Mann, Steele et al. 1998]. These studies have used several different treatment modalities which were found to have varying success in clearance of HPV DNA, suggesting that HPV DNA testing is useful for evaluation of different treatment modalities. The meta-analysis of Paraskevaidis, Arbyn et al identified 11 studies on evaluating the use of HPV testing after conservative treatment for CIN [Elfgren, Bistoletti et al. 1996; Chua and Hjerpe 1997; Distefano, Picconi et al. 1998; Bollen, Tjong et al. 1999; Kjellberg, Wadell et al. 2000; Nagai, Maehama et al. 2000; Kucera, Sliutz et al. 2001; Lin, Tseng et al. 2001; Nobbenhuis, Meijer et al. 2001; Paraskevaidis, Koliopoulos et al. 2001; Acladious, Sutton et al. 2002]. Eight studies [Elfgren, Bistoletti et al. 1996; Distefano, Picconi et al. 1998; Bollen, Tjong et al. 1999; Kjellberg, Wadell et al. 2000; Nagai, Maehama et al. 2000; Kucera, Sliutz et al. 2001; Lin, Tseng et al. 2001; Nobbenhuis, Meijer et al. 2001; Acladious, Sutton et al. 2002] were prospective, and three studies [Chua and Hjerpe 1997; Paraskevaidis, Koliopoulos et al. 2001]were retrospective. The total number of women included in these studies were 900, of whom 678 (75.3%) were considered as receiving a successful treatment, whereas 222 (24.7%) were considered treatment failures. There was marked heterogeneity in several aspects of the included studies. The grade of intraepithelial lesion differed both within and between studies. In most studies, the initial sample included different grades of cervical intraepithelial neoplasia, while 3 studies [Chua and Hjerpe 1997; Nagai, Maehama et al. 2000; Lin, Tseng et al. 2001] included only women with high-grade/CIN III lesions. Excisional methods of treatment (various conization methods) were used in all studies, while destructive methods (e.g. cryocoagulation and LASER evaporation) were also employed in three studies[Bollen, Tjong et al. 1999; Kjellberg, Wadell et al. 2000; Acladious, Sutton et al. 2002]. Polymerase chain reaction (PCR) methods 116 were employed in 8 studies [Elfgren, Bistoletti et al. 1996; Chua and Hjerpe 1997; Distefano, Picconi et al. 1998; Bollen, Tjong et al. 1999; Kjellberg, Wadell et al. 2000; Nagai, Maehama et al. 2000; Nobbenhuis, Meijer et al. 2001; Paraskevaidis, Koliopoulos et al. 2001; Acladious, Sutton et al. 2002], whereas Hybrid Capture II (HC II) was used in 2 studies [Kucera, Sliutz et al. 2001; Lin, Tseng et al. 2001]. HPV DNA detection was performed both preoperatively and postoperatively in most studies, while postoperative only HPV DNA detection was applied in two studies [Bollen, Tjong et al. 1999; Paraskevaidis, Koliopoulos et al. 2001]. The duration of follow-up varied from 3-6 weeks postoperatively [Lin, Tseng et al. 2001]to 206 months for some individuals [Bollen, Tjong et al. 1999]. Different methods were also applied in order to confirm or exclude recurrent or residual disease. In one study [Lin, Tseng et al. 2001], hysterectomy and pathologic examination was performed 3-6 weeks after initial treatment. Cytology and/or colposcopy was applied in 5 studies [Elfgren, Bistoletti et al. 1996; Chua and Hjerpe 1997; Kjellberg, Wadell et al. 2000; Kucera, Sliutz et al. 2001; Nobbenhuis, Meijer et al. 2001] (11,12,16,18,19), biopsy was employed in 2 studies [Distefano, Picconi et al. 1998; Paraskevaidis, Koliopoulos et al. 2001] and combination of these methods was employed in 2 studies [Bollen, Tjong et al. 1999; Nagai, Maehama et al. 2000]. There were available data for 876 women who underwent conservative surgical treatment for CIN. HPV DNA was detected preoperatively in 718 of the 873 women (82.2%). The sensitivity of the preoperative HPV test is particularly high in studies that included only high-grade lesions [Chua and Hjerpe 1997; Nagai, Maehama et al. 2000; Lin, Tseng et al. 2001], where HPV DNA is detected in 176 out of 181 cases (97.2%). Among the 672 women in whom the treatment was considered to be successful, 566 (84.2%) had a negative postoperative HPV DNA test, whereas 106 (15.8%) had a positive postoperative HPV DNA test. In contrast, among the 204 cases that were considered as treatment failures, only 35 cases (17.1%) had a negative postoperative HPV DNA test, whereas 169 cases (82.8%) were positive for HPV DNA postoperatively. The sensitivity of HPV DNA testing in detecting treatment failures was quite good in most studies, reaching 100% in four of them [Elfgren, Bistoletti et al. 1996; Bollen, Tjong et al. 1999; Nagai, Maehama et al. 2000; Lin, Tseng et al. 2001], whereas a modest performance, in the range of 50%, was demonstrated in two studies [Distefano, Picconi et al. 1998; Acladious, Sutton et al. 2002]. The specificity of the test differed across the studies, ranging from 44% [Bollen, Tjong et al. 1999] to 95% [Elfgren, Bistoletti et al. 1996]. In summary, there is evidence that HPV testing post treatment can more quickly and efficiently detect a treatment failure. Timing of taking a post treatment HPV test. The optimal timing for a post-treatment HPV test has been explored in several studies, notably Elfgren et al, 2002. A substantial proportion of women show clearance already at 3 months and clearance is also significant between 3 and 6 months. After 6 months, the clearance rate is slower, however. An extensive evaluation of possible post-treatment testig options in the Dutch screening program that previously used posttreatment cytology at 6, 12 and 24 months post treatment found evidence to suggest that double testing with cytology and HPV at 6 months and 24 months would be more efficient. 117 RECOMMENDATIONS With regard to the fact that, in at least some countries, women who have been treated for CIN still have an increased risk for invasive cervical cancer, there is a definite need for improved follow-up regimens. The use of post-treatment HPV testing should be explored in design of new follow-up regimens after CIN treatment. Evidence supports the use of a double cytology and HPV test at 6 months post treatment for improved safety of posttreatment follow-up. While there is evidence to suggest that subsequent follow-up of women negative for both HPV and in cytology needs to be less intense, evidence can not distinguish which specific follow-up regimen that should be used. Implementation with careful monitoring and/or randomisation is recommended. Further research on long-term protection of HPV-negativity as well as of joint cytology and HPV-negativity is warranted. 7.4. Impact of HPV vaccination on design of cervical screening programs 7.4.1. Immune response to HPV infection and immunization Studies in animal model systems performed over 40 years ago showed that there was a protective effect against papillomavirus infection that is mediated by immune serum reactions against the viral particle. For HPV, neutralizing antibodies can be generated by immunizing animals with intact, infectious virus particles. This approach cannot be utilized in humans because of the oncogenes contained in the HPV genome. Natural HPV infection of the genital tract gives rise to a modest but measurable serum antibody response in most individuals. There are a series of methodological issues that make it difficult to unambiguously study whether immunity against type-specific reinfection occurs, but significant (but not complete) protection against reinfection has been found to be associated with the presence of HPV antibodies. A cell-mediated immune response also occurs, as mentioned below. A critical discovery in the development of vaccines to prevent HPV infection was that the L1 protein could be expressed in eukaryotic cells and could self assemble into so-called virus-like particles (VLPs) [Zhou, Sun et al. 1991]. HPV L1 VLPs contain the same conformationally dependent neutralizing epitopes as are present on infectious viruses. The L2 protein can also be expressed with L1 protein in yeast or Sf9 cells, giving rise to “L1 plus L2” VLPs. So far all available evidence indicates that both virus particles, L1 VLPs and L1 plus L2 VLPs react in an undistinguishable fashion with immune sera, whether from natural infection or from experimental infection in animals. VLPs can be purified and used to immunize animals and humans by intramuscular injection. DNA plasmids or recombinant viruses (non-HPV) designed to express L1 and other HPV proteins can also be administered by intramuscular injection. The immunogenicity of HPV particles involves presentation to the immune system of conformational neutralizing epitopes displayed on viral capsids. Although the HPV types are defined on the DNA sequence level, there is a very good correlation with serotypes, i.e. individual HPV types have antigenically distinct epitopes and there is very limited crossneutralization. 118 Vaccination of animals and humans with VLPs gives rise to neutralizing antibodies in serum. In addition, antibodies to VLPs can be detected in cervical secretions of intramuscularly immunized monkeys. However, the titer was less than 1% of the serum titer. Young women who received an HPV 11 L1 VLP vaccine by intramuscular vaccination developed serum antibodies that effectively neutralized infectious HPV 11.Within individual HPV types, such as HPV 16, there are sequence variants, and there has been concern that vaccination with VLPs may not afford protection against infection with various virus variants. The immune response in human serum after natural infection is type-specific, but can not distinguish between different variants of virus within the same type. Certain neutralizing monoclonal antibodies are very effective for inhibiting the reactivity of immune sera from humans against VLPs. The monoclonal antibodies that are able to block the natural antibody response will react with particles from all different variants within a virus type, but not with particles from other virus types. Also serum from human volunteers vaccinated with VLPs will react with different virus variants. In a study of volunteers vaccinated with HPV 16 L1 VLPs effective neutralization a series of HPV16 variants was found. From a vaccine perspective, HPV16 can therefore be said to constitute a single serotype. HPV is transmitted by contact with desquamated keratinocytes from an infected individual. This contact may be indirect, as in the case of cutaneous wart viruses, or sexual in the case of cervical infection. These desquamated keratinocytes contain virus particles that escape the cell and infect the new host. As there is no viremic phase, it is likely that the neutralizing antibodies need to be present not only in serum but also in the immediate environment, such as the cervix or external genital epithelium in order to prevent infection. Serum IgG antibodies can reach the cervical epithelium and secretions by transudation. It is commonly believed that exposure of the basal epithelial cell to infectious HPV results from microtrauma, and the same process could damage to small blood vessels, increasing the antibody presence in the cervical environment. As indicated above, a cell mediated immune (CMI) response clearly occurs in natural HPV infection in addition to an antibody response. This subject was extensively reviewed recently by Man. Also, VLP vaccination of young women induces L1-specific T cell responses detectable by proliferation of CD4+ and CD8+ T cells and in vitro production of Th1 and Th2 cytokines [Pinto, Edwards et al. 2003]. 7.4.2. Vaccine trials in humans Several vaccine trials are underway in humans, although there have been only a few published results to date. Two large pharmaceutical companies (Merck, Sharp and Dome, and GlaxoSmithKline in collaboration with MedImmune) are currently conducting vaccine trials in the United States and elsewhere. In addition, the National Cancer Institute (United States) is conducting trials in Costa Rica. In a blinded, randomised, placebo-controlled dose escalation Phase I study of an HPV 11 L1 VLP vaccine, the vaccine was well tolerated and induced high levels of neutralizing antibodies in serum. In a Phase I vaccine trial using HPV 16 L1 VLPs, the vaccine was also well tolerated and all subjects who received the vaccine seroconverted. Titers were approximately 40-fold higher than what is observed in natural infection. Recently, an interim analysis of a Phase II trial of an HPV 16 L1 VLP vaccine was reported [Koutsky, Ault et al. 2002]. In this study, 2,392 women (16 to 23 years old) were randomized to receive placebo or three doses of 40 g of HPV 16 L1 VLP vaccine produced in yeast cells 119 at 0, 2 and 6 months. Genital samples for HPV DNA were obtained at enrollment and every six months. Biopsy tissue was evaluated for cervical intraepithelial neoplasia and analysed by PCR for HPV 16 DNA. The mean duration of follow-up was 17 months. The incidence of persistent HPV 16 infection was 3.8/100 subject-years at risk in the placebo group and 0.0/100 subject-years at risk in the vaccine group (100 percent efficacy, 95 percent confidence interval, 90 percent to 100 percent; p<0.0001). All nine cases of HPV 16-related CIN occurred among placebo recipients. It was concluded that administration of the HPV 16 vaccine reduced the incidence of HPV 16 infections and HPV 16-related CIN. It should be noted that the follow up of the study subjects continues, and it is likely that additional data on the long-term immunogenicity and protective effects of the vaccine will be forthcoming. 7.4.3. Unresolved questions about HPV vaccine trials Endpoints It is a challenge to find appropriate endpoints for trials of HPV vaccines. Evidence of incident HPV infection with a vaccine type is an endpoint that would seem to be an obvious choice for a vaccine trial against an infectious disease. However, a high percentage of sexually active women, especially those with more than four or five lifetime sexual partners are at least transiently infected with one or more genital HPV types. Because HPV-induced clinical disease occurs in only a relatively small proportion of infected individuals, estimates of efficacy based on protection against infection can not be extrapolated to protection also against clinical disease. Genital warts, or high-grade cervical dysplastic lesions of the cervix, for example, probably occur in no more than 5% of infected individuals within a two to three year period after infection. In addition, the clinical disease must be shown to be attributable to the specific HPV present in the vaccine before conclusions can be drawn about success or failure of protection. For example, numerous HPV types can cause cervical dysplasia. Cervical dysplasia in a vaccine recipient may therefore be due to infection with a vaccine HPV type, indicating lack of protection, or due to infection by a non-vaccine type. This is a complex issue, and mandates the enrollment of large numbers of women in prospective trials of vaccine efficacy. Inclusion of different HPV types Antibody responses elicited by VLP immunization are quite specific for the individual HPV type, with limited cross-neutralisation even for closely related HPV types. At least 15 different “high risk” types have been identified as causative agents of cervical cancer. With these considerations, an important question is “How many different HPV types can be included, given that each type requires a certain amount of antigen to be included in the preparation?” Hughes et al, attempted to determine the theoretical impact of a prophylactic HPV vaccine using mathematical models: one model focusing on HPV infection, and one model focusing on cervical cancer. The authors determined that characteristics of sexual behavior and characteristics of the vaccine affect the steady state prevalence of HPV that would be expected if a vaccine program were begun. They determined that vaccinating women alone could reduce the prevalence of infection with the specific HPV type in the vaccine by 30% reduction, and that vaccinating both males and females could reduce the prevalence by 44%. The analysis supported the concern that a “fill-in” effect is possible, that is, if a vaccine gave protection against some- but not all - oncogenic HPV types, another oncogenic HPV type might increase and may replace the disease caused by the types eliminated by the vaccine. 120 They concluded that a multivalent vaccine containing the majority of disease-causing HPV types would reduce the need for colposcopy and treatment, but that screening programs would remain necessary unless the vaccines were very effective and were given to a large percentage of the population. In contrast to less common sexually transmitted infections that are restricted to defined core groups, an HPV vaccine would need to be given to a large percentage of the population since HPV infection is extremely common. To reduce cervical cancer by 90%, probably eight to ten types need to be included, assuming little or no cross-protection by vaccination. However, it cannot be assumed that each HPV type represented in a multivalent product would each be 100% effective. Also, numerous other types that perhaps do not often cause invasive cancer are causative agents of cervical dysplasia, and therefore cytological screening programs (and possibly HPV typing) will continue to be necessary. Vaccination against non-oncogenic HPV Since the biology and means of prevention by VLP vaccination is presumably the same for the benign HPV types as for the oncogenic ones, it is perfectly feasible to also vaccinate against these viruses. HPV types 6 and 11 jointly cause more than 90% of genital condyloma acuminata lesions, a common clinical condition of significant impact to sexual health. Low grade dysplastic lesions of the cervix may be caused by these and other non-oncogenic types as well. An additional reason for vaccinating against HPV types 6 and 11 is the fact that these infections can cause serious disease in rare circumstances. HPV 11 is the major cause of recurrent respiratory papillomatosis, a severe disease that may be fatal. So-called giant condylomas or Buschke-Löwenstein tumors are usually caused by HPV 6. These tumors are regarded as having a low potential for malignancy, but may also be fatal. Several current vaccines undergoing testing include HPV 6, HPV 11, or both of these low risk types. To date, although several vaccine trials are designed to test protection against low risk types, no efficacy data is available. Inclusion of HPV proteins in addition to L1 in vaccines Addition of other proteins to the L1 VLPs requires increased technologic challenges and costs. However, the L2 minor capsid protein is worthy of consideration, because antibodies elicited to non-denatured L2 protein appear to have a degree of cross reactivity to heterologous HPV types, and therefore may be able to protect the immunized individual against multiple HPV types. The addition of early genes (E7 in particular) is also being investigated, to determine if a cell-mediated immune response could be elicited along with the antibody response to the L1 VLP component [Greenstone, Nieland et al. 1998] [Nieland, Da Silva et al. 1999]. If so, this would open the way to development of vaccines with a therapeutic component included, for combined used in treatment and prophylaxis. Duration and consistency of the antibody response to VLPs The duration of protection against HPV infection has not been evaluated. Encouraging data presented on the antibody response to HPV L1 VLP vaccines suggest only a slight decline in the high serum antibody titers over a six to eight month evaluation period. The recombinant vaccines that have been produced to prevent hepatits B infection may provide some insight into the possible duration of protection against infection. For the hepatitis B vaccines, neutralizing antibodies are induced in high titers that slowly decrease over a time span of several years. Protection from hepatitis B infection appears to be long lasting (at least five to ten years, perhaps much longer). 121 Optimal timing for vaccination Assuming the vaccines for HPV are eventually shown to be safe and effective, what would be the optimal age for vaccination? Epidemiological studies indicate that many women become infected within several months of initiation of sexual activity. Vaccination at an age of eight to ten years may be appropriate, perhaps adding a booster in adolescence or early adulthood, may seem like an obvious strategy. However, until the duration of the length of protection is known it can not be properly modelled which targeting of specific age groups that would most rapidly stop the spreading of the infection in the population. Immunization of males Genital tract HPV is sexually transmitted. Therefore, immunization of men may help prevent infection in women. Currently there is little data available regarding the immune response to HPV VLPs in men, although studies are being initiated. It is expected that immunization of men with VLPs will elicit a serum immune response similar to that in women. Whether men will be protected against infection or clinical disease resulting from infection (genital warts, for example) has not been tested. A major obstacle in testing the efficacy of HPV vaccines in men has been the lack of safe, inexpensive, and sensitive testing methods for HPV. Antagonism between types Although it is clear that multiple HPV types can be detected in the same individual, it is not known if different HPV types can interfere with infection or pathogenesis by each other. The possibility that different HPV types interfere with each other has been the subject of several studies. The results suggest that infection with HPV 6 may interfere with HPV 16-associated cervical carcinogenesis. Further studies are needed to clarify this potentially important issue as new vaccine formulations are considered that contain numerous HPV types. Conclusions and recommendations on HPV vaccines Currently, only prophylactic HPV vaccines have shown promise. While prophylactic vaccination is likely to provide important future health gains, cervical screening will need to be continued for a whole generation of women that is already infected. Due to the multiplicity of HPV types and the fact that the coming vaccines are type-specific, the prophylactic vaccines are not likely to eradicate cervical cancer. A reduction in background risk by elimination of the most important HPV types would affect costeffectiveness and timing/intervals of screening programs, but would not obviate them. Continuous monitoring of which HPV types that are spreading in the populations will become necessary, for early monitoring of “fill in” phenomena, inappropriate vaccination strategies or other reasons for vaccination failure. Research needed: a) Monitoring of spread of HPV types in populations to be targeted by type-specific vaccination. b) Research on duration of efficacy of the vaccine. c) Research on optimal vaccination strategies, preferentially using mathematical modelling and/or implementation evaluation. d) Research on optimal screening policies in vaccinated populations, particularly using mathematical modelling. 122 123 8. Glossarium and list of abbreviations For the editor: test and programme accuracy measures are not defined here, see chapter 2. Maybe all glossaria can be fused to one glossarium at the end of the guideline. As alternative I propose to repeat the definitions that concern chapter 3 once again. (test- & programme sensitivity, specificity, predictive values, sojourn time distribution, lead time). AGUS: atypical glandular cell of unspecified significance AIS: adenocarcinoma in situ ASC-US: atypical squamous cells of unspecified significance ASC-H: atypical squamous cells, high-grade squamous lesion cannot be excluded CIN: cervical intra-epithelial neoplasia CIS: carcinoma in situ CP: conventional Pap smear FDA: Food and Drugs Administration (United States) FN: false negative FP: false positive HSIL: high-grade squamous intra-epithelial lesion LBC: liquid based cytology LSIL: low-grade squamous intra-epithelial lesion NHS: National Health Services (United Kingdom) PPV: positive predictive value RCT: randomised clinical trial SBLB: satisfactory but limited by TBS: The Bethesda System TN: true negative TP: true positive Verification bias: bias in the estimation of the diagnostic validity of a test when differential verification (unequal fractions) of screen positives and negatives occurs 9. References 9.1. Evaluation of test performance Begg CB, Greenes RA. Assessment of diagnostic tests when disease verification is subject to selection bias. Biometrics 1983; 39: 207-215. Bossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig LM, Lijmer JG, Moher D, Rennie D, de Vet HC; Standards for Reporting of Diagnostic Accuracy. Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative. BMJ 2003; 326: 41-44. Boyes DA, Morrison B, Knox EG, Draper GJ, Miller AB. A cohort study of cervical cancer in British Columbia. Clin Invest Med 1982; 5: 1-29. Choi BC. Sensitivity and specificity of a single diagnostic test in the presence of work-up bias. J Clin Epidemiol 1992; 45:581-586. Canadian Task Force. Cervical cancer screening programmes. CMA Journal 1976; 114: 1003-1033. 124 Chock C, Irwig I, Berry G, Glasziou P. Comparing dichotomous screening tests when individuals negative on both tests are not verified. J Clin Epidemiol 1997;50:1211-7. Day NE. The epidemiological basis for evaluating different screening policies. In: Screening for Cancer of the Uterine Cervix. Lyon, (eds: Hakama M, Miller AB, Day N). Lyon, IARC Scientific Publications 1986: 76: 199212. Day NE. Screening for cancer of the cervix (review article). J Epid Comm Health 1989; 43: 103-106. Fahey MT, Irwig L, Macaskill P. Meta-analysis of Pap test accuracy. Am J Epidemiol 1995, 141: 680-689. Hakama M. Chamberlain J, Day NE. Miller AB, Prorok PC. gynaecological cancer. Br J Cancer 1985; 52: 669-673. Evaluation of screening programmes for Irwig L, Glasziou PP, Berry G, Chock C, Mock P, Simpson JM. Efficient Study Designs to Assess the Accuracy of Screening Tests. Am J Epidemiol 1994;140:759-769. McCrory DC, Mather DB, Bastian L et al. Evaluation of Cervical Cytology. Evidence Report/Technology Assessment N°5. (Prepared by Duke University under Contract N° 290-97-0014). AHCPR Publication N° 99E010). Rockville, MD: Agency for Health Care Policy and Research, US Department of Health and Human Services, Public Health Service. February, 1999. pp 1-274. Melnikow J, Nuovo J, Willian AR, Chan BKS, Howell LP. Natural history of cervical squamous intraepithelial lesions: a meta-analysis. Obstet Gynecol 1998: 92: 727-735. Morrison SA. Screening in Chronic Disease. Eds: JL Kelsey, MG Marmot, PD Stolley, and MP Vessey. Oxford University Press, Inc. 2nd editon, pp 1-254, 1992. Nanda K, McCrory DC, Myers ER, Bastian LA, Hasselbled V, Hickey JD, Matchar DB. Accuracy of the Papanicolaou Test in screening for and follow-up of cervical cytological abnormalities: A systemic review. Ann Intern Med 2000; 132: 810-819. Narod SA, Thompson DW, Jain M, Wall C, Green LM, Miller AB. Dysplasia and the natural history of cervical cancer: early results of the Toronto study. Eur J Cancer 1991: 27: 1411-1416. Östör AG. Natural history of cervical intraepithelial neoplasia: A critical review. Int J Gynaecol Pathology 1993; 12: 186-192. Schatzkin A, Connor RJ, Taylor PR, Bunnag B. Comparing new and old screening tests when a reference procedure cannot be performed on all screenees. Example of automated cytometry for early detection of cervical cancer. Am J Epidemiol 1987;125: 672-678. Sherman ME, Schiffman M, J Cox. Effects of age and human papilloma viral load on colposcopy triage: data from the randomised atypical squamous cells of undermined significance/low-grade squamous intraepithelial lesion triage study (ALTS). JNCI 2002; 92: 202-207. Van Ballegooijen M, van den Akker-van Marle ME, Warmerdam PG, Meijer CJLM, Walboomer JMM, Habbema JDF. Present evidence fon the value of HPV testing for cervical cancer screening: a model-based exploration of the cost-effectiveness. Brit J cancer 1997; 76: 651-657. Van Oortmarssen GJ, Habbema JDF. Epidemiological evidence for age-dependent regression of invasive cervical cancer. Br J Cancer 1991; 64: 559-565. Van Oortmarssen GJ, Habbema JDF, Van Ballegooijen M. Predicting mortality from cervical cancer after negative smear test results. BMJ 1992; 305: 449-451. 125 9.2. Conventional cervical cytology 9.2.1. Historical background Babes A. Diagnostic du cancer du col uterin par les frottis. Presse Med 1927; 36:451. Collins DN, Patacsil DP. Proficiency testing in New York: analysis of a 14 year state program. Acta Cytol 1986;30:633. Koss LG. The Papanicolaou test for cervical cancer detection. A triumph and a tragedy. JAMA 1989;261:737. Papanicolaou GN. New cancer diagnosis. Proceedings Third Race Betterment Conference. Battle Creek: Race Betterment Foundation. 1928: 528. Papanicolaou and Traut 1943? Reagan JW, Harmonic MJ. Dysplasia of the uterine cervix. Ann NY Acad Sci 1956;63:1236. Reagan JW, Harmonic MJ. The cellular pathology in carcinoma in situ. A cytohistopathological correlation. Cancer 1956;9:385. Richart RM. Cervical intraepithelial neoplasia. Pathol Annu 1973;7:301. Wied GL. History of clinical cytology and outlook for its future. In Wied GL, Keebler CM, Koss LG, Patten SF, Rosenthal DL (eds.) Compendium on diagnostic cytology, 7th ed. Chicago: Tutorials of Cytology. 1992:1. 9.2.2. Screening technique Arbyn M. Schenck U.: Detection of False Negative Pap Smears by Rapid Reviewing: A Metaanalysis. Acta Cytologica 2000; 44; 949 - 957. Arbyn M, Schenck U, Ellison E, Hanselaar A. Meta-analysis of the accuracy of rapid pre-screening relative to full screening of Pap smears. Cancer 2003; 99: 9-16. Berger BM. Statistical quality assurance in cytology: The use of the PathfinderTM to continuously assess screener process control in real time. J Surg Path 1995;(1) No 3+4,203-213. Branca M, Morosini PL, Duca PG, Verderio P, Giovagnoli MR, Riti MG, Leoncini L et al. Reliability and accuracy in reporting CIN in 14 laboratories. Developing new indices of diagnostic variability in an interlaboratory study. Acta Cytol 1998;42,1370-1376. Moser B, Schenck U, Maier E,. Beckmann V, Lellé R.J. Time Consumption for Conventional and ThinPrep®Specimens - Assessed with the Pathfinder System. 25th European Congress of Cytology, Oxford, 13.16. September 1998. In: Cytopathology 9 (1998), Suppl. 1, S 28 Reuter B, Schenck U. Investigation of the visual cytoscreening of conventional gynaecologic smears. II. Analysis of eye movement. - Analytical and Quantitative Cytology 8 (1986) 210-218 Schenck U, Planding W. Quality Assurance by Continuous Recording of the Microscope Status. Acta. Cytol 1996, 40(1): 73-80. Schenck UB, Reuter P, Vöhringer. Investigation of Visual Cytoscreening of Conventional Gynaecologic Smears. I. Analysis of Slide Movement. Analytical and Quantitative Cytology 8 (1986) 36-45 Schenck U, Reuter B. Workload in the Cytology Laboratory- in: Wied, GL, Keebler, CM, Rosenthal, DL, Schenck, U, Somrak, TM, Vooijs, GP (Eds.) Compendium on Quality Assurance, Proficiency Testing and Workload Limitations in Clinical Cytology, Tutorials of Cytology, Chicago 1995;223-230. 126 9.2.3. Cytological diagnosis Advisory Committee on Cancer Prevention, Position paper. Recommendations on cancer screening in the European Union, Conference on Screening and early Detection of Cancer, Vienna 18-19 November 1999. E. Lynge, J. Patnick, S. Törnberg, J. Faivre, F. Schröder European Journal of Cancer, vol. 36, pp. 1473-1478, 9.2.4. Quality assurance Ciatto S, Cariaggi MP, Minuti M et al: Interlaboratory reproducibility in reporting inadequate cervical-smears – A multicentric multinational study. Cytopath 1996;7:386-390. Clinical Laboratory Improvement Amendments of 1988, Final Rule. Federal Register, Vol 57, no. 40, Friday, February 28,1992. Cocchi V, Sintoni C, Carretti D, Sada D et al: External quality assurance in cervical vaginal cytology. International agreement in the Emilia Romagna region of Italy. Acta Cytol 1996;40:480-488. Davey DD, Nielsen ML, Frable WJ, et al. Improving accuracy in gynaecologic cytology: Results of the College of American Pathologists Interlaboratory Comparison Program in Cervicovaginal Cytology (PAP). Arch Pathol Lab Med 1993;117:1193-8. Krieger PA, Cohen T, Naryshkin S: A practical guide to Papanicolaou smear rescreens. How many slides must be reevaluated to make a statistically valid assessment of screening performance? Cancer Cytopath 1998;84:130136. McGoogan E: Quality assurance in cervical screening in the United Kingdom. In: Compendium on Quality Assurance, Profi-ciency Testing and Workload Limitations in Clinical Cytology. Edited by GL Wied, CM Keebler, DL Rosenthal. Tutorials of Cy-tology, Chicago 1995:pp 125-142 Mody D. Davey D. Branca M. Raab S. Schenck U, Stanley M. Wright R. Arbyn M, Beccati D, Bishop J. Collaco L, Cramer S. Fitz-gerald P. Heinrich J. Jhala N. Kapila K. Naryshkin S. Suprun H. Quality Assurance and Risk Reduction Guidelines. Acta Cytol. 2000; 44; 496-507. Nielsen ML, Cytopathology laboratory improvement programs of the College of American Pathologists: Laboratory Accreditation Program (CAP LAP) and Performance Improvement Program in Cervicovaginal Cytology (CAP PAP). Arch Pathol Lab Med 1997;121:256-9. Schneider, V.: Wissenschaft oder Marketing: Beurteilung neuer Technologien in der Zytologie. In: 16. Fortbildungstagung für Klinische Zytologie, München, 29.11. - 3.12.2001, Hrsg.: U. Schenck, S. Seidl, U.B. Schenck 2001, S. 189 - 204. 233-235 Syrjanen KJ: Quality assurance in the cytopathology laboratories of the Finnish Cancer Society. In: Compendium of Quality Assurance, Proficiency Testing and Workload Limitations in Clinical Cytology. Edited by GL Wied, CM Keebler, DL Rosenthal. Tutorials of Cytology, Chicago 1995;pp 134-141. The Scottish Office. Report of a working party on internal quality control for cervical cytopathology laboratories. September 1995. Wied GL, Keebler CM, Rosenthal DL, Schenck U, Somrak TM, Vooijs GP (Edit): Compendium on Quality Assurance, Proficiency Testing and Workload Limitations in Clinical Cytology, Tutorials of Cytology, Chicago, 1995. 127 9.2.5. The cytological report Coleman D. Day N. Douglas G. Farmery E. Lynge E. Philip J. Segnan N. European Guidelines for Quality Assurance in Cervical Cancer Screening, Europe Against Cancer Programme. European Journal of Cancer 29A(4), 1993. Schenck, U. Herbert, A. Solomon, D. Amma, N.S. Collins, R.J. Gupta, S.K. Jimenez-Ayala, M. Kobilková, J. Nielsen, M. Suprun, H.Z.: Terminology - IAC Task Force Summary. In: Acta Cytol. 42 (1998), Nr. 1, S. 5-15 National Cancer Institute Workshop Report. The 1988 Bethesda System for reporting cervical/vaginal cytological diagnoses. JAMA 1989; 262:931-. Richart RM. Cervical intraepithelial neoplasia. Pathol Annu 8:301-323, 1973. Schenck, U. Befundwiedergabe in der Zytologie: Münchner Nomenklatur II und Bethesda System 2001. In: 16. Fortbildungsta-gung für Klinische Zytologie, München, 29.11. - 3.12.2001, Hrsg.: U. Schenck, S. Seidl, U.B. Schenck 2001, S. 189 - 204. Solomon D, Davey D, Kurman R, Moriarty A, O'Connor D, Prey M, Raab S, Sherman M, Wilbur D, Wright T Jr, Young N; Forum Group Members; Bethesda 2001 Workshop. The 2001 Bethesda System: terminology for reporting results of cervical cytology. JAMA. 2002;287: 2114-9. http://jama.ama-assn.org/cgi/reprint/287/16/2114.pdf The Revised Bethesda System for Reporting Cervical / Vaginal Cytological Diagnoses: Report of the 1991 Bethesda Workshop. Acta Cytol, 1992;36 (3):273-276. 9.2.6. Peformance of cervical cytology Gifford C, Green J, Coleman DV: Evaluation of proficiency testing as a method of assessing competence to screen cervical smears. Cytopath 1997;8. Brown AD and Garber AM Cost effectiveness of three new Technologies to evaluate the sensitivity value of Pap Testing. JAMA 1999;281:347-353. McCrory DC, Mather DB, Bastian L et al. Evaluation of Cervical Cytology. Evidence Report/Technology Assessment N°5. (Prepared by Duke University under Contract N° 290-97-0014). AHCPR Publication N° 99E010). Rockville, MD: Agency for Health Care Policy and Research, US Department of Health and Human Services, Public Health Service. February, 1999. pp 1-274. Soost H-J, Lange H-J, Lehmacher W, Ruffing-Kullmann B: Ergebnisse zytologischer Krebfrüherkennungs- und Vorsorgeuntersuchungen bei der Frau – eine 10 Jahres-Studie, Dtsch. Ärzteverlag, Köln, 1987. The Scottish Office: Report of the Inquiry into Cervical Cytopathology at Inverclyde Royal Hospital, Greenock. HMSO publications, Edinburgh, ISBN 0-11-495181-0, 1993 9.3. Liquid based cytology 9.3.1. Systematic reviews concerning liquid based cytology Abulafia O, Pezzullo JC, Sherer DM. Performance of ThinPrep liquid-based cervical cytology in comparison with conventionally prepared Papanicolaou smears: a quantitative survey. Gynecol Oncol 2003; 90:137-144. 128 Arbyn M, Abarca M. Is Liquid Based Cytology an Effective Alternative for the Conventional Pap Smear to Detect Cervical Cancer Precursors? A Systematic Review and Meta-analysis. Scientfic Institute of Public Health, Brussels, IPH/EPI Reports Nr. 2003-010. 2003. Austin RM, Ramzy I. Increased detection of epithelial cell abnormalites by liquid-based gynecologic cytology preparations. A review of accumulated data. Acta Cytol. 1998; 42: 178-184. Australian Health Technology Advisory Committee. screening devices. 1998. Australia. Review of automated and semi-automated cervical CYTYC. 2001. Review of literature concerning ThinPrep. MSAC (Medical Services Advisory Committee). Liquid based cytology for cervical screening. MSAC reference 12a, Canberra, Australia, pp 1-97. 2002. AHCPR. Evaluation of cervical cytology. 1999. Rockville (MD), USA, AHCPR. ANAES. Conduite à tenir devant une patiente ayant un frottis cervico-utérin anormal. Service recommandations et références professionnelles et Service évaluation économique. 1-92. 2002. Paris, ANAES. Austin RM,.Ramzy I. Increased detection of epithelial cell abnormalities by liquid-based gynecologic cytology preparations. Acta Cytol 1998;42:178-84. Bernstein SJ, Sanchez-Ramos L, Ndubisi B. Liquid-based cervical cytologic smear study and conventional papanicolaou smears. A metaanalysis of prospective studies comparing cytologic diagnosis and sample adequacy. Am J Obstet Gynecol 2001;185:308-17. Bishop JW, Marshall CJ, Bentz JS. New technologies in gynecologic cytology. J Reprod Med 2000;45:701-19. Broadstock M. Effectiveness and cost effectiveness of automates and semi-automated cervical cancer screening devices. New Zealand Health Technology Report, 2000. Hartmann KE, Nanda K, Hall S, Myers E. Technologic advances for evaluation of cervical cytology: Is new better? Obstet Gynecol Surv 2001;56:765-74. Linder J, Zahniser D. The ThinPrep Pap test. A review of clinical studies. Acta Cytol 1997; 41:30-38. Meerding WJ, van Ballegooijen M, Habbema D. Performance and cost-effectiveness of liquid based cytology. Histopathology 2002;41:494-505. Moseley RP,.Paget S. Liquid-based cytology: is this the way forward for cervical screening? Cytopathology 2002;13:71-82. Payne N, Chilcott J, McGoogan E. Liquid-based cytology in cervical screening : a rapid and systematic review. Health Technol Assess 2000;4:1-73. Sulik SM, Kroeger K, Schultz JK, Brown JL, Becker LA, Grant WD. Are Fluid-based Cytologies Superior to the Conventional Papanicolaou Test? A Systematic Review. J Fam Pract 2001;50:1040-6. Klinkhamer PJJM, Meerding WJ, Rosier PFWM, Hanselaar AGJM. Liquid based cervical cytology. A review of de literature with methods of evidence based medicine. Cancer Cytopathol 2003. In Press. 9.3.2. Other references on liquid based cytology Bigras G, Rieder MA, Lambercy J-M, Kunz B, Chatelain J-P, Reymond O, Cornaz D. Keeping collecting device in liquid medium is mandatory to ensure optimized liquid-based cervical cytologic sampling. J Lower Gen Tract Dis 2003; 7:168-74. 129 Confortini M, Bulgaresi P, Cariaggi MP, Carozzi FM, Cecchini S, Cipparrone I, Maddau C, Rossi R, Troni GM, Zappa M, Ciatto S: Conventional Pap smear and liquid-based cervical cytology smear: comparison from the same patient. Tumori 2002, 88:288-290. Coste J, Cochand-Priollet B, de Cremoux P, Le Gales C, Cartier I, Molinie V, Labbe S, Vacher-Lavenu MC, Vielh P. Cross sectional study of conventional cervical smear, monolayer cytology, and human papillo-mavirus DNA testing for cervical cancer screening. BMJ 2003;326: 733. Ferenczy A, Robitaille J, Franco E, Arseneau J, Richart RM, Wright TC. Conventional cervical cytological smears vs. ThinPrep smears. A paired comparison study on cervical cytology. Acta Cytol 1996; 40:1136-1142. Ferenczy A, Franco E, Arseneau J, Wright TC, Richart RM. Diagnostic performance of Hybrid Capture human papillomavirus deoxyribonucleic acid assay combined with liquid-based cytological study. Am J Obstet Gynecol 1996;175: 651-656. Ferenczy A, Franco EL Human Papillomavirus DNA testing using liquid-based cytology. In: New Developments in Cervical Cancer Screening and Prevention, Ed: E. Franco & J. Monsonego; Blackwell Science, Cambridge 1997, pp 348353. Howell LP, Davis RL, Belk TI, Agdigos R, Lowe J. The Autocyte preparation system for gynecologic cytology. Acta Cytol. 1998, 42: 171-177. Hutchinson ML, Isenstein LM, Goodman A, Hurley A, Douglas KL, Mui KK, Patten FW, Zahniser DJ. Homogeneous sampling accounts for the increased diagnostic accuracy using the Thinprep R processor. Am J Clin Pathol 1993; 101: 215- 219. McGoogan E, Reith A. Would monolayers provide more representative samples and improved preparations for cervical screening? Acta Cytol 1996; 40: 107-119. Moss, S. M., Gray, A., Legood, R., and Henstock, E. Evaluation of HPV/LBC. Cervical screening pilot studies. 1-96. 2003. Papillo JL, Lee KR, Manna EA. Clinical evaluation of the ThinPrep method for the preparation of non gynecologic material. Acta Cytol 1992; 36: 651-652. Rubio CA. The false negative smear: II The trapping efffect of collecting instruments. Obstet. Gynecol 1977; 49: 576-580. Scottish Cervical Screening Programme (SCSP). Steering group report on the feasibility of introducing liquid based cytology. 2002. Australia. Sherman ME, Shiffman MH, Lorincz AT, Herrero R, Hutchinson ML, Bratti C, Zahniser D, Morales J, Hildesheim A, Helgesen K, Kelyy D, Alfaro M, Mena F, Balmaceda, Mango L, Greenberg M. Cervical specimens collected in liquid buffer are suitable to both cytological screening and ancillary human papillomavirus testing. Cancer Cytopathology 1997; 81: 89-97. Birdsong G, Willis D et al: Comparing the diagnoses of paired ThinPrep slides and Papanicolaou smears with histology. Acta Cytologica 40 (1996) 1045. Chacho, M.S., Mattie, M.E.: Cytohistologic correlation of conventional and ThinPrep Pap Smears at Yale. Acta Cytol. 43: (1999) 889 Hutchinson ML, Zahniser DJ et al: Utility of liquid-based cytology for cervical carcinoma screening. Cancer (Cancer Cytopathology) 1999;87: 48-55. Johnson, T.; Maksem, J.A.; Belsheim, B.L. Roose, E.B.; Klock, L.A.; Eatwell, L.: Liquid-Based Cervical-Cell Collection with Brushes and Wooden Spatulas: A comparison of 100 Conventional Smears from High Risk Woman to Liquid-Fixed Cytocentrifuge Slides, Demonstrating a Cost-Effective, Alternative Monolayer Slide Preparation Technique. Diagnostic Cytopathology 22:86-91, 2000 130 Leif RC, Easter HN Jr, Warters RL, Thomas RA, Dunlap LA, Austin MF: Centrifugal cytology: 1. A quantitative technique for the preparation of glutaraldehyde-fixed cells for the light and scanning electron microscope. J Histochem Cytochem 19:203, 1971 Sawaya, G.F.; Grimes, D.A.: New Technologies in Cervical Cytology Screening: A Word of Caution. Obstetrics and Gynaecology 94 (1999) 307-310. Schenck, U., Neugebauer, D., Otto, Kh.,Soost, H.?J., Wagner, D.: Monolayer Preparation of Cervical Samples. Cytomorphologic Characteristics and Differential Cytology. Analyt.Quant.Cytol. 4 (1981) 285?288 Schenck, U., D. Neugebauer, Kh. Otto, H.-J. Soost, D. Wagner: Monolayer Preparation of Cervical Samples. Cytomorphologic Characteristics and Differential Cytology. Analyt.Quant.Cytol. 4 (1981) 285-288 Schwarz, G., M. Schwarz, U. Schenck: Effect of the Special Properties of Monolayer Cell preparations for Automated Cervical Cytology on Visual Evaluation and Classification. With an Estimation of the Number of Cells Required To Be Screened. Analyt.Quant.Cytol. 3 (1983) 189-193 Stoler, M., Baber, G., et al: The use of HPV testing to adjudicate differences between ThinPrep and conventional Pap smear methods. Acta Cytologica 1996;40:1045. Vassilakos, P.; Griffin, S.; Megevand, E.; Campana, A.:CytoRich Liquid based cervical cytological test. Screening results in a routine pathology service. Acta Cytol 42 (1998) 198-202 Vooijs, G.P., Nieuwenhuis, F. et al: Comparison of cytological diagnoses on conventional and parallel monolayer cervical smears. Am J Clin Pathol 1991;95:286. 9.4. Automated screening Bartels, P.H.; Bibbo, M.; Hutchinson, M.L.; Gahm, T.; Grohs, H.K.; Gwi-Mak, E.; Kaufman, E.A.; Kaufman, R.H.; Knight, B.K.; Koss, L.G.; Magruder, L.E.; Mango, L.J.; McCallum, S.M.; Melamed, M.R.; Peebles, A.; Richart, R.M.; Robinowitz, M.; Rosenthal, D.L.; Sauer, T.; Schenck, U.; Tanaka, N.; Topalidis, T.; Verhest, A.P.; Wertlake, P.T.; Whittaker, J.A.; Wilbur, D.C.: Computerized Screening Devices and Performance Assessment: Development of a Policy Towards Automation. In: Acta Cytol. 42 (1998), Nr. 1, S. 59-68 Bergeron C, Masseroli M, Ghezi A, Lemarie A, Mango L, Koss LG. Quality control of cervical cytology in highrisk women. PAPNET system compared with manual rescreening. Acta Cytol 2000; 44: 151-157. Doornewaard H, van der Schouw YT, van der Graaf Y, Bos AB, Habbema JD, van den Tweel JG. The diagnostic value of computer-assisted primary cervical smear screening: a longitudinal cohort study. Mod Pathol 1999; 12: 995-1000. Duggan MA. Papnet-assisted, primary screening of cervico-vaginal smears. Eur J Gynaecol Oncol 2000; 21: 3542. Dunton CJ. New technology in Papanicolaou smear processing. Clinical Obstetrics and Gynecology 2000; 43: 410-417. Halford JA, Wright RG, Ditchmen EJ. Prospective study of PAPNET: review of 25,656 Pap smears negative on manual screening and rapid rescreening. Cytopathology 1999; 10: 317-323. Kok MR and Boon ME. Consequences of neural network technology for cervical screening: increase in diagnostic consistency and positive scores. Cancer 1996; 78: 112-117 131 Kok MR, Boon ME, Schreiner-Kok PG, Koss LG. Cytological recognition of invasive squamous cancer of the uterine cervix: comparison of conventional light-microscopical screening and neural-network-based screening. Hum Pathol 2000; 31: 23-28. Koss LG, Sherman ME, Cohen MB, Anes AR, Darragh TM, Lemos LB, McClellan BJ, Rosenthal DL, KeyhaniRofagha S, Schreiber K, Valente PT. Significant reduction in the rate of false-negative cervical smears with neural network-based technology (PAPNET testing system). Hum Pathol 1997; 28: 1196-1203. Michelow PM, Hlongwane NF, Leiman G. Simulation of primary cervical cancer screening by the PAPNET system in an unscreened, high-risk community. Acta Cytol 1997; 41: 88-92. Nieminen P., Viikki M., Hakama M., Anttila A. The effect of automation assisted screening on cervical cancer screening. First year results. Int J Cancer . 103: 422-426. 2003.. PRISMATIC Project Management Team. Assessment of automated primary screening on PAPNET of cervical 25smears in the PRISMATIC trial. Lancet 1999; 353: 1381-1385. Wilbur D.C, Bonfiglio TA, Rutkowski MA, et al. Sensitivity of the AutoPap 300 QC system for cervical cytological abnormalities. Acta Cytol 1996;40:127-132. 9.5. HPV DNA detection Acladious, N. N., C. Sutton, et al. Persistent human papillomavirus infection and smoking increase risk of failure of treatment of cervical intraepithelial neoplasia (CIN). Int J Cancer 2002; 98: 435-9. af Geijersstam, V., C. Eklund, et al. A survey of seroprevalences of human papillomavirus types 16, 18 and 33 among children. Int. J. Cancer 1999; 80: 489-493. Andersson-Ellstrom, A., J. Dillner, et al. No serological evidence for non-sexual spread of HPV16. Lancet 1994; 344: 1435. Andersson-Ellström, A., J. Dillner, et al. Comparison of development of serum antibodies to HPV16 and HPV33 and acquisition of cervical HPV DNA among sexually experienced and virginal young girls. A longitudinal cohort study. Sex. Transm. Dis 1996; 23: 234-238. Anttila, T., P. Saikku, et al. Serotypes of Chlamydia trachomatis and risk for development of cervical squamous cell carcinoma. Jama 2001; 285: 47-51. Apple, R., T. Becker, et al. Comparison of human leukocyte antigen DR-DQ disease associations found with cervical dysplasia and invasive cervical carcinoma. J Natl Cancer Inst 1995; 87: 427-436. Arbyn M, Buntinx F,Van Ranst M, Paraskevaidis E, Martin-Hirsh P, Dillner J. Cytologic versus virologic triage of women with equivocal Pap smears: a meta-analysis of the accuracy to detect high-grade intra-epithelial neoplasia. 2003. Submitted for publication in JNCI. (provisionally accepted). Arbyn M, Buntinx F, Van Ranst M, Cortinas Abrahantes J. Triage of women with atypical or low-grade abnormalities of the cervix by HPV testing. Systematic review and meta-analysis. EPI-REPORT 2001-019. Brussels, Scientific Institute of Public Health. Registered as systematic review study by the Cochrane Gynecological Cancer Collaborative Review Group. Aurelian, L. Herpes simplex virus type 2 and cervical cancer. Clin Dermatol 1984; 2: 90-99. Beskow, A., A. Josefsson, et al. HLA class II alleles associated with infection by HPV16 in cervical cancer in situ. International Journal of Cancer 2001; 93: 817-822. 132 Bleeker, M. C., C. J. Hogewoning, et al. Condom use promotes regression of human papillomavirus-associated penile lesions in male sexual partners of women with cervical intraepithelial neoplasia. Int J Cancer 2003; 107: 804-10. Bollen, L. J., A. H. S. P. Tjong, et al. Prediction of recurrent and residual cervical dysplasia by human papillomavirus detection among patients with abnormal cytology. Gynecol Oncol 1999; 72: 199-201. Bollen, L. J., S. P. Tjong-A-Hung, et al. Clearance of cervical human papillomavirus infection by treatment for cervical dysplasia. Sex. Transm. Dis 1997; 24: 456-460. Bollen, L. J., S. P. Tjong-A-Hung, et al. Human papilomavirus DNA after treatment of cervical dysplasia: Low prevalence in normal cytologic smears. Cancer 1996; 77: 2538-2543. Bontkes, H. J., T. D. de Gruijl, et al. Immune responses against Human Papillomavirus type 16 (HPV16) viruslike particles in a cohort study of women with cervical intraepithelial neoplasia. II: Systemic but not local IgA responses correlate with clearance of HPV16. J. Gen. Virol 1999; 80: 409-417. Brisson, J., I. Bairati, et al. Determinants of persistent detection of human papillomavirus DNA in the uterine cervix. J Infect Dis 1996; 173: 794-799. Castellsague, X., F. X. Bosch, et al. Male circumcision, penile human papillomavirus infection, and cervical cancer in female partners. N Engl J Med 2002; 346: 1105-12. Castellsague, X., C. Menendez, et al. Human papillomavirus genotypes in rural Mozambique. Lancet 2001; 358: 1429-30. Chua, K., F. Wiklund, et al. A prospective cohort study on the risk to develop cervical intraepithelial neoplasia among healthy subjects with serum antibodies to HPV, in comparison with presence of HPV DNA in cervical smears. Int. J. Cancer 1996; 68: 54-59. Chua, K. L. and A. Hjerpe Persistence of human papillomavirus infections preceding cervical carcinoma. Cancer 1996; 77: 121-127. Chua, K. L. and A. Hjerpe Human papillomavirus analysis as a prognostic marker following conization of the cervic uter. Gynecologic Oncology 1997; 66: 108-113. Clavel, C., M. Masure, et al. Hybrid Capture II-bases human papillomavirus detection, a sensitive test to detect in routine high-grade cervical lesions: a preliminary study on 1518 women. British Journal of Cancer 1999; 80: 1306-1311. Clifford, G., J. Smith, et al. Comparison of HPV type distribution in highgrade cervical lesions and cervical cancer: a meta-analysis. Br J Cancer 2003; 89: 101-105. Cuzick, J., E. Beverly, et al. HPV testing in primary screening of older women. British Journal of Cancer 1999; 81: 554-558. Cuzick, J., P. Sasieni, et al. A systematic review of the role of human papillomavirus testing within a cervical screening programme. Health Technology Assessment 1999; 3: 1-196. Cuzick, J., A. Szarewski, et al. Human papillomavirus testing in primary cervical screening. Lancet 1995; 345: 1533-1536. Daling, J., M. Madeleine, et al. A population-based study of squamous cell vaginal cancer: HPV and cofactors. Gynecol Oncol 2002; 84: 263-270. de Villiers, E. M. Human Papillomavirus. Introduction. Seminars in Cancer Biology 1999; 6: 377. Dillner, J. The serological response to papillomaviruses. Seminars in Cancer Biology 1999; 9: 423-430. 133 Dillner, J., I. Kallings, et al. Seropositivity to human papillomavirus types 16, 18 or 33 capsids and to Chlamydia trachomatis are markers of sexual behaviour. J. Infect. Dis 1996; 173: 1394-1398. Dillner, J., M. Lehtinen, et al. Prospective, seroepidemiological study of human papillomavirus infection as a risk factor for invasive cervical cancer. J. Natl. Cancer Inst 1997. Distefano, A. L., M. A. Picconi, et al. Persistence of human papillomavirus DNA in cervical lesions after treatment with diathermic large loop excision. Infect Dis Obstet Gynecol 1998; 6: 214-9. Dobbs, S. P., T. Asmussen, et al. Does histological incomplete excision of cervical intraepithelial neoplasia following large loop excision of transformation zone increase recurrence rates? A six year cytological follow up. BJOG 2000; 107: 1298-1301. Elfgren, K. (2003). Longitudinal studies of human papillomavirus infection. Doctoral thesis. Karolinska Institutet, Stockholm, Sweden. Stockholm. Elfgren, K., P. Bistoletti, et al. Conization for cervical intraepithelial neoplasia is followed by disappearance of human papillomavirus deoxyribonucleic acid and a decline in serum and cervical mucus antibodies against human papillomavirus antigens. Am J Obstet. Gynecol 1996; 174: 937-942. Elfgren, K., M. Jacobs, et al. Rate of Human Papillomavirus clearence after treatment of cervical intraepithelial neoplasia. Obstet Gynecol 2002; 100: 965-971. Elfgren, K., M. Kalantari, et al. A population-based five-year follow-up study of cervical human papillomavirus infection. Am J Obstet Gynecol 2000; 183: 561-7. Evander, M., K. Edlund, et al. Human papillomavirus infection is transient in young women: a population-based cohort study. J. Infect. Dis 1995; 171: 1026-1030. Evander, M., I. H. Frazer, et al. Identification of the alpha6 integrin as a candidate receptor for papillomaviruses. J. Virol 1997; 71: 2449-2456. Forslund, O., A. Antonsson, et al. (2000). Population-based type-specific prevalence of high risk human papillomavirus infection in middle-aged Swedish women. 18th International Papillomavirus Conference, Barcelona, Spain, 22-28 July.: Abstract book, 241. Ghaderi, M., K. Wallin, et al. Risk of invasive cervical cancer associated with polymorphic HLA DR/DQ haplotypes. International Journal of Cancer 2002; 100: 698-701. Gissmann, L., L. Wolnik, et al. Human papillomavirus types 6 and 11 DNA sequences in genital and laryngeal papillomas and in some cervical cancers. Proc Natl Acad Sci U S A 1983; 80: 560-3. Glew, S., M. Duggan-Keen, et al. Lack of association of HLA polymorphisms with human papillomavirus-related cervical cancer. Hum Immunol 1993; 37: 157-164. Gonzalez, D., jr., C. M. Zahn, et al. Recurrence of dysplasia after loop electrosurgical excision procedures with long-term follow-up. Am J Obstet Gynecol 2001; 184: 315-321. Greenstone, H. L., J. D. Nieland, et al. Chimeric papillomavirus virus-like particles elicit antitumor immunity against the E7 oncoprotein in an HPV16 tumor model. Proc. Natl. Acad. Sci. USA 1998; 95: 1800-1805. Hagmar, B., M. Kalantari, et al. Human papillomavirus in cell samples from the Stockholm gynecological health screening. Acta Cytol 1995; 39: 741-745. Hakama, M., L. Elovainio, et al. Breast cancer screening as public health policy in Finland. British Journal of Cancer 1991; 64: 962-964. 134 Helland, A., A. O. Olsen, et al. An increased risk of cervical intra-epithelial neoplasia grade II-III among human papillomavirus positive patients with the HLA-DQA1*0102-DQB1*0602 haplotype: a population-based casecontrol study of Norwegian women. Int J Cancer 1998; 76: 19-24. Hildesheim, A., M. H. Schiffman, et al. Persistence of type-specific human papillomavirus infection among cytologically normal women. J. Infect. Dis 1994; 169: 235-240. Ho, G., R. Bierman, et al. Natural history of cervicovaginal papillomavirus infection in young women. N Engl J Med 1998; 338: 423-428. Ho, G. Y., R. D. Burk, et al. Persistent genital human papillomavirus infection as a risk factor for persistent cervical dysplasia. J. Natl. Cancer Inst 1995; 87: 1365-1371. Hogewoning, C. J., M. C. Bleeker, et al. Condom use promotes regression of cervical intraepithelial neoplasia and clearance of human papillomavirus: A randomized clinical trial. Int J Cancer 2003; 107: 811-6. Jansen, F. W., J. B. Trimbos, et al. Persistent cervical intraepithelial neoplasi after incomplete conization: Predictive value of clinical and histological parameters. Gynecol Obstet Invest 1994; 37: 270-274. Josefsson, A. M., P. K. Magnusson, et al. Viral load of human papilloma virus 16 as a determinant for development of cervical carcinoma in situ: a nested case-control study. Lancet 2000; 355: 2189-93. Kanamori, Y., J. Kigawa, et al. Residual disease and presence of human papillomavirus after conization. Oncology 1998; 55: 517-20. Karlsson, R., M. Jonsson, et al. Lifetime number of partners as the only independent risk factor for human papillomavirus infection: A population-based cohort study. Sex Transm Dis 1995; 22: 119-127. Kjellberg, L., G. Wadell, et al. Regular disappearance of the human papillomavirus genome after conization of cervical dysplasia by carbon dioxide laser. Am J Obstet Gynecol 2000; 183: 1238-42. Kjellberg, L., F. Wiklund, et al. (1998). A population-based study for predicting cervical intraepithelial neoplasia. Am J Obstet Gynecol in press. Klaes, R., T. Friedrich, et al. Overexpression of p16 (INK4A) as a specific marker for dysplastic and neoplastic epithelial cells of the cervix uteri. International Journal of Cancer 2001; 92: 276-284. Klaes, R., S. M. Woerner, et al. Detection of high-risk cervical intraepithelial neoplasia and cervical cancer by amplification of transcripts derived from integrated papillomavirus oncogenes. Cancer Research 1999; 59: 61326136. Kleter, B., L. J. van Doorn, et al. Development and clinical evaluation of a highly sensitive PCR-reverse hybridization line probe assay for detection and identification of anogenital human papillomavirus. J Clin Microbiol 1999; 37: 2508-17. Kleter, B., L. J. van Doorn, et al. Novel short-fragment PCR assay for highly sensitive broad-spectrum detection of anogenital human papillomaviruses. Am J Pathol 1998; 153: 1731-9. Konya, J. and J. Dillner. Immunity to oncogenic Human Papillomaviruses. Advances in Cancer Research 2001; 82: 205-238. Koskela, P., T. Anttila, et al. Chlamydia trachomatis infection as a risk factor for invasive cervical cancer. Int J Cancer 2000; 85: 35-9. Koskela, P., T. Anttila, et al. Chlamydia Trachomatis Infection as a Risk Factor for Invasive Cervical Cancer. International Journal of Cancer 2000; 85: 35-39. Koutsky, L. A., K. A. Ault, et al. A controlled trial of a human papillomavirus type 16 vaccine. N Engl J Med 2002; 347: 1645-51. 135 Krüger Kjaer, S., B. Chackerian, et al. High-Risk Human Papillomavirus Is Sexually Transmitted: Evidence from a Follow-Up Study of Virgins Starting Sexual Activity (Intercourse). Cancer Epidemiology Biomarkers & Prevention 2001; 10: 101-106. Kucera, E., G. Sliutz, et al. Is high-risk human papillomavirus infection associated with cervical intraepithelial neoplasia eliminated after conization by large-loop excision of the transformation zone? Eur J Obstet Gynecol Reprod Biol 2001; 100: 72-6. Lehtinen, M., M. Hakama, et al. Herpes simplex virus type 2 infection and cervical cancer: a prospective study of 12 years of follow-up in Finland. Cancer Causes Control 1992; 3: 333-338. Lehtinen, M., T. Luukkaala, et al. Human Papillomavirus infection, risk for subsequent development of cervical neoplasia and associated population attributable fraction. Journal of Clinical Virology 2001; 22: 117-124. Lin, C. T., C. J. Tseng, et al. Value of human papillomavirus deoxyribonucleic acid testing after conization in the prediction of residual disease in the subsequent hysterectomy specimen. Am J Obstet Gynecol 2001; 184: 940945. Lorincz, A. T. and R. M. Richart Human papillomavirus DNA testing as an adjunct to cytology in cervical screening programs. Arch Pathol Lab Med 2003; 127: 959-68. Mann, C. H., J. C. Steele, et al. LLETZ - Evidence of its efficacy against HPV infection. Gynecol Oncol 1998; 81: 125-127. Manns, A., H. Strickler, et al. Low incidence of human papillomavirus type 16 antibody seroconversion in young children. Pediatr Infect Dis J 1999; 18: 833-835. Martin-Hirsch, P. L., G. Koliopoulos, et al. Is it now time to evaluate the true accuracy of cervical cytology screening? A review of the literature. Eur J Gynecol Oncol 2002; 23: 363-365. Moscicki, A., S. Shiboski, et al. The natural history of human papillomavirus infection as measured by repeated DNA testing in adolescent and young women. J Pediatr 1998; 132: 277-284. Myers, E. R., D. C. McCrory, et al. Setting the target for a better cervical screening test: Characteristics of a costeffective test for cervical neoplasia screening. Obstetrics & Gynecology 2000; 96: 645-652. Nagai, Y., T. Maehama, et al. Persistence of human papillomavirus infection after therapeutic conization for CIN 3: is it an alarm for disease recurrence? Gynecol Oncol 2000; 79: 294-299. Nieland, J. D., D. M. Da Silva, et al. Chimeric papillomavirus virus-like particles induce a murine self-antigenspecific protective and therapeutic antitumor immune response. J Cell Biochem 1999; 73: 145-52. Nobbenhuis, M. A., C. J. Meijer, et al. Addition of high-risk HPV testing improves the current guidelines on follow-up after treatment for cervical intraepithelial neoplasia. British Journal of Cancer 2001; 84: 796-801. Nonnenmacher, B., N. L. Hubbert, et al. Serologic response to human papillomavirus type 16 virus-like particles in HPV 16 DNA-positive invasive cervical cancer and cervical intraepithelial neoplasia grade III patients and controls from Colombia and Spain. J. Infect. Dis 1995; 172: 19-24. Paraskevaidis, E., G. Koliopoulos, et al. Human papillomavirus testing and the outcome of treatment for cervical intraepithelial neoplasia. Obstet Gynecol 2001; 98: 833-6. Paraskevaidis, E., E. D. Lolis, et al. Cervical intraepithelial neoplasia outcomes after large loop excision with clear margins. Obstet Gynecol 2000; 95: 828-31. Paraskevaidis E, Arbyn M, Sotiriadis A, Diakomanolis E, Martin-Hirsch P, Koliopoulos G, Makrydimas G, Tofoski J, Roukos D. The role of HPV DNA testing in the follow-up period after treatment for CIN: a systematic review of the literature. Cancer Treat Rev 2004; in press. 136 Pinto, L. A., J. Edwards, et al. Cellular immune responses to Human Papillomavirus (HPV)-16 L1 in healthy volunteers immunized with recombinant HPV-16 L1 virus-like particles. Journal of Infectious Diseases 2003; 188: 327-338. Plummer M and S. Franceschi. Strategies for HPV prevention. Virus Res 2002; 89: 285-93. Ponte´n, J., H. O. Adami, et al. Strategies for global control of cervical cancer. Int. J. Cancer 1995; 60: 1-26. Raffle, A. E., B. Alden, et al. Detection rates for abnormal cervical smears: What are we screening for? Lancet 1995; 345: 1469-1473. Remmink, A. J., J. M. M. Walboomers, et al. The presence of persistent high risk HPV genotypes in dysplastic cervical lesions is associated with progressive disease: Natural history up to 36 months. Int. J. Cancer 1995; 61: 306-311. Royston, G. Commentary:Trials versus models in appraising screening programs. British Journal of Cancer 1999; 318: 360-361. Rozendaal, L., J. M. M. Walboomers, et al. PCR-based high-risk HPV test in cervical cancer screening gives objective risk assessment of women with cytomorphologically normal cervical smears. Int. J. Cancer 1996; 68: 766-769. Sanjeevi, C. B., P. Hjelmdahl, et al. (1996). Different DR-DQ haplotypes are associated with cervical neoplasia among human papillomavirus type 16 seropositive and negative subjects. Int. J. Cancer 68: in press. Schiffman, M. and L. Brinton. The epidemiology of cervical carcinogenesis. Cancer 1995; 76: 1888-1901. Schiffman, M. H. and A. Schatzkin Test reliability is critically important to molecular epidemiology: An example from studies of human papillomavirus infection and cervical neoplasia. Cancer Res 1994; 54: 1944-1947. Sherlaw Johnson, C., S. Gallivan, et al. Withdrawing low risk women from cervical screening programmes: mathematical modelling study. British Medical Journal 1999; 318: 356-361. Silins, I., R. M. Tedeschi, et al. Clustering of seropositivities for sexually transmitted infections. Sex Transm Dis 2002; 29: 207-11. Smith, J., J. Green, et al. Cervical cancer and use of hormonal contraceptives: a systematic review. Lancet 2003; 361: 1159-1167. Smith, J., N. Munoz, et al. Evidence for Chlamydia trachomatis as a human papillomavirus cofactor in the etiology of invasive cervical cancer in Brazil and the Philippines. J Infect Dis 2002; 185: 324-331. Soutter, W. P., A. de Barros Lopes, et al. Invasive cervical cancer after conservative therapy for cervical intraepithelial neoplasia. Lancet 1997; 349: 978-980. Strand, A., E. Wilander, et al. High risk HPV persists after treatment of genital papillomavirus infection, but not after treatment for cervical intraepithelial neoplasia. Acta Obstet. Gynecol. Scand 1997; 76: 140-144. Wallin, K. L., F. Wiklund, et al. Type-specific persistence of human papillomavirus before invasive cervical cancer. N Engl J Med 1999; 341: 1633-8. van Doornum, G. J. J., M. Prins, et al. Regional distribution and incidence of HPV infections among heterosexual men and women with multiple partners: A prospective study. Genitourinary Medicine 1994; 70: 240-246. Wang, S., M. Schiffman, et al. Seroprevalence of human papillomavirus-16, -18, -31, and -45 in a populationbased cohort of 10 000 women in Costa Rica. Br J Cancer 2003; 89: 1248-1254. 137 Winer, R. L., S. K. Lee, et al. Genital Human Papillomavirus infection: Incidence and risk factors in a cohort of female university students. American Journal of Epidemiology 2003; 157: 218-226. Vonka, V., J. Kanka, et al. Prospective study on the relationship between cervical neoplasia and herpes simplex type-2 virus. Int J Cancer 1984; 33: 61-68. Ylitalo, N., P. Sorensen, et al. Consistent high viral load of human papillomavirus 16 and risk of cervical carcinoma in situ: a nested case-control study. Lancet 2000; 355: 2194-8. Zhou, J., X. Y. Sun, et al. Expression of vaccinia recombinant HPV16 L1 and L2 ORF proteins in epithelial cells is sufficient for assembly of HPV virion-like particles. Virology 1991; 185: 251-257. zur Hausen, H. Viruses in human cancers. European Journal of Cancer 1999; 14: 1878-1885. zur Hausen, H. Papillomaviruses causing cancer: Evasion from host-cell control in early events in carcinogenesis. Journal of National Cancer Institute 2000; 92: 690-698. 138 10. Appendices 10.1. Appendix 1: Collection of adequate Pap smears (Marc ARBYN, Joe JORDAN, Euphemia MCGOOGAN, Julieta PATNICK) 10.2. Appendix 2: Reporting schemes for cervical cytology (Ulrich SCHENCK, Marc ARBYN) A) National reporting schemes B) Conversion between national and TBS cytological classification systems C) Discussion on terminology 139