Application of a test package in an intercomparison of the photon

Radiotherapy and Oncology 60 (2001) 203±213
www.elsevier.com/locate/radonline
Application of a test package in an intercomparison of the
photon dose calculation performance of treatment planning systems
used in a clinical setting
Jack Venselaar a,*, Hans Welleweerd b
a
b
Department of Radiotherapy, Dr B. Verbeeten Institute, P.O. Box 90120, 5000 LA Tilburg, The Netherlands
Department of Radiotherapy, University Medical Center, P.O. Box 8500, 3508 GA Utrecht, The Netherlands
Received 26 May 2000; received in revised form 12 December 2000; accepted 9 January 2001
Abstract
Background and purpose: Testing the performance of treatment planning systems by using the AAPM Task Group 23 test package is a
useful approach, but has its limitations. To be able to include technical developments, such as the asymmetric collimator, it was decided to
remeasure the AAPM data set on more modern radiotherapy equipment, to extend the test geometries, and to evaluate the use of the new
package.
Materials and methods: A coherent set of beam data of 6, 10 and 18 MV photon beams was measured on two modern linear accelerators.
These data served as input data in seven commercially available treatment planning systems, which were clinically in use in different
radiotherapy departments. Next, a test package was measured which included a missing tissue geometry and ®elds with asymmetrical
collimator setting, with and without a wedge.
Results: The absolute dose prediction from the different treatment planning systems in which the measured beam data were entered, was
compared for all test points with the results of direct measurements. The criteria of acceptability were exceeded by some systems in cases of
irregular ®eld geometry and missing tissue geometry. The majority of the systems had dif®culties with accurate dose calculation for
asymmetrically wedged ®elds.
Conclusions: The application of the new test package did not introduce insuperable dif®culties and was highly appreciated by the
participating centres. Most systems performed reasonably well for the majority of the beam geometries, with the exception of asymmetrically
wedged beams. The extended test package is available for other users or user groups for the purpose of commissioning new treatment
planning systems, or new releases of existing systems. q 2001 Elsevier Science Ireland Ltd. All rights reserved.
Keywords: Treatment planning system; Quality assurance; Dose calculation
1. Introduction
Commissioning of the dose calculation algorithms of a
treatment planning system is generally performed: (i), by
entering basic beam data into the system according to the
methods and requirements described in the user's manual of
the system; and (ii), by comparing the results of dose calculations with the entered data and with data that were
measured speci®cally for this purpose. Most commonly,
existing beam data are used as input data. Differences
between calculated and actual dose values may be encountered, partly due to uncertainties in the measured data, and
partly due to imperfect beam modelling. Criteria for accept-
ability have to be applied before accepting a treatment planning system for clinical use. Several authors have developed
such criteria [4,6,27,29]. These criteria for acceptability
can, in a ®rst approach, be based on an analysis of clinical
dose±response curves. Mijnheer et al. [17] stated that for
dose delivery in the patient, one should strive for an overall
accuracy of ^3.5% (1 SD) in the value of the dose delivered
to the ICRU reference point [15]. The evaluation of dose±
response curves requires an accurate knowledge of the dose,
for tumour control as well as for normal tissue damage.
Treatment planning is one of the main steps in radiotherapy.
These steps include: calibration of the dosimeter, determination of the absorbed dose under reference conditions,
phantom measurements under non-reference conditions,
calculation of dose distributions in the patient, and ®nally,
treatment delivery. Out of the total uncertainty budget, only
* Corresponding author.
0167-8140/01/$ - see front matter q 2001 Elsevier Science Ireland Ltd. All rights reserved.
PII: S 0167-814 0(01)00304-8
204
J. Venselaar, H. Welleweerd / Radiotherapy and Oncology 60 (2001) 203±213
a relatively small margin remains for the accuracy of the
treatment planning part of the total procedure.
On the other hand, the criteria may also be based on a
judgement of the actual performance of state-of-the-art
treatment planning systems. These criteria should then be
based on an analysis of the applied algorithms and on
studies in which the results of calculations are compared
with measured data [4,12,16,27]. The ®nal criteria should
re¯ect both what is achievable in clinical practice with upto-date equipment, and the radiobiological requirements for
accuracy [14]. This paper discusses the accuracy achievable
with commercially available treatment planning systems
employed in a clinical environment.
The optimal evaluation of such systems makes use of one
set of data, entered into the different systems in order to
avoid the in¯uence of uncertainties which result from different sets of measurements performed at different sites and
obtained at various times [21,24]. However, such an evaluation procedure is very time consuming, because it requires
the development of a set of basic data in such a format that
these can be entered into the various treatment planning
systems. Furthermore, these systems need to be made available for study purposes, which means that a close collaboration is needed between several radiotherapy departments
and/or the manufacturers of treatment planning systems.
For the individual departments, the burden is high, because
the work needs to be done in addition to the work of testing
the local beam data of the clinic. However, not all centres
have to participate, as the results of a speci®c system are, in
general, applicable to all systems with the same version
from the same manufacturer, provided that individual user
in¯uences can be excluded. So, test results and experiences
may be shared by others in the user group. Finally, new
technical developments of treatment machines, such as
asymmetric collimators, and new computer facilities with,
e.g. more sophisticated algorithms for inhomogeneity
corrections and 3D calculations, necessitate this type of
test to be repeated at certain intervals, and eventually, to
be extended to encompass the new tools.
An important attempt to produce a standard set of beam
data for testing treatment planning systems was performed
by AAPM Task Group 23, who developed a set of beam data
from a 4 and 18 MV photon beam [2]. This set includes a
number of test cases which can be used for comparison
purposes. However, a few drawbacks are associated with
the test package presented by Task Group 23. The ®rst
drawback is that, in clinical practice, photon beam qualities
in the range from 6 to 15 MV are used most frequently,
which are energies just in between the energies provided
by the task group. Another point is that the high energy
photon beam is measured on a linear accelerator from a
type (Therac-20, AECL, Kanata, Canada) which is obsolete.
Furthermore, the AAPM data set is static in the way it is
proposed. It is not presented as an open data set to which
new devices can be added, such as asymmetrical collimator
settings and multi-leaf collimators (MLCs), which are now
commonly used; neither can the speci®c demands of a given
treatment planning system be added to the data set. As a
consequence, the test package risks being outdated in a
relatively short period of time.
In the present study, we have tried to overcome these
drawbacks for at least a certain period of time. Photon
beam data were measured on two modern linear accelerators
installed in the radiotherapy department of the University
Medical Center, Utrecht, the Netherlands. These machines
(Elekta SL 15 and SL 20, EOS, Crawley, UK) operated with
6, 10 and 18 MV nominal photon beam quality and were
both equipped with asymmetrical collimator jaws. One of
the treatment units was equipped with a MLC. This means
that it was possible to adapt the data set from these machines
with the latest technical developments and to incorporate
newer tests related to these developments in the set of test
data. Furthermore, the speci®c demands of basic beam data
for entering into a system could be realized by performing
additional measurements.
The purpose of this paper was to describe the present
status of this new data set, measured at the Elekta SL
machines. The set of test con®gurations was kept, as
much as possible, similar, or even identical, to the Task
Group 23 set of test con®gurations, but was expanded
with tests for a `missing tissue' geometry and for asymmetrical collimator settings, including asymmetrically wedged
beams. We refer to this test package as the NCS set, as it will
be part of a forthcoming report on Quality Assurance of
Treatment Planning Systems of the NCS (the Netherlands
Commission on Radiation Dosimetry). Furthermore, we
present the results of an intercomparison that was performed
using the NCS test package for seven different treatment
planning systems, some of which are commercially available as `3D systems'. These systems, all in use in a clinical
setting, are considered representative for the currently available treatment planning systems. The results are discussed
with respect to the criteria for acceptability and quality
assurance of treatment planning systems, which have been
suggested elsewhere [29]. The feasibility of these criteria
has been investigated by applying these to the results of the
intercomparison. It is emphasized here that it was not the
aim of this study to judge the performance of each individual system, but to investigate: (i), the methodology of
using such a test package; and (ii), the accuracy which
can be obtained in general with modern treatment planning
systems in a clinical setting. All participants agreed to
publish the results of the tests for their speci®c centre
including the name of their system.
2. Methods and materials
2.1. Measurement techniques
Beam data were obtained at an Elekta SL 15 linear accelerator for 6 and 10 MV photon beams with quality indexes
J. Venselaar, H. Welleweerd / Radiotherapy and Oncology 60 (2001) 203±213
(QI) of 0.676 and 0.734, respectively, and at an Elekta SL 20
for an 18 MV photon beam with a QI equal to 0.770. Linear
accelerators of this type were the most widespread treatment
machines in the Netherlands at the time of this investigation.
The percentage depth±dose (PDD) and pro®le measurements were performed in a WMS water phantom (Nucletron, Veenendaal, the Netherlands), and by point-by-point
measurements with an 0.1 cm 3 ionization chamber of the
type, RK01 (Scanditronix, Uppsala, Sweden). The data were
obtained in several different measurement sessions.
At each time of a new measurement session, the water
phantom was accurately positioned in the treatment room
and left there for at least 2 h in order to reach temperature
stability. The pro®le at 5 cm depth in a ®eld of 40 £ 40 cm 2
and the PDD in a 10 £ 10 cm 2 ®eld were measured and
compared with a reference pro®le and a reference PDD
curve obtained at the time of acceptance of the accelerator.
The pro®les of the beams of these linear accelerators were
adjusted for optimal ¯atness at a depth of 5 cm at the time of
installation of the machine. The correspondence between
the pro®les and PDD values was con®rmed to be better
than 1% of the local dose before accepting the beam regulation of the accelerator for further measurements. Furthermore, a dose measurement at the reference point at 10 cm
depth was performed at the beginning and at the end of each
session. The value agreed with the reference value within
1%. This measurement was repeated and recorded at the end
of each measurement session. Point doses in the test cases
were obtained by registration of the integrated signal of an
irradiation with 100 monitor units (MU).
The measured data were evaluated with great care in
order to construct a data set with good internal consistency.
Several open beam situations were remeasured during each
session, and the results of these situations were compared.
Some smoothing of the test data was applied and/or data
were averaged, e.g. by using the average of the dose point
values over 2 mm of the pro®le. Occasionally, differences in
beam quality were present and the results of the measurements of such a session were corrected for these differences
by making use of the reference measurements. As a result,
the basic beam data had an estimated overall internal consistency of better than ^1% (1 SD; maximum error, 1.5%) of
the local dose at any point within the beam.
2.2. The basic beam data set
The following data were collected for the purpose of
modelling the 6, 10 and 18 MV photon beams in any of
the treatment planning systems used in the study. The reference conditions for the determination of output factors and
the measurement of pro®les and depth±dose data were: a
®eld size of 10 £ 10 cm 2, a depth of 5 cm, and a source±
surface distance (SSD) of 100 cm.
2.2.1. Depth±dose data
Open beam central axis depth±dose data for square ®eld
205
sizes of 3, 5, 7, 10, 15, 20, 30 and 40 (cm £ cm), for depths
from 0 up to 30 cm.
2.2.2. Pro®les
Five open beam depth pro®les for the each of these square
®elds at depths of, e.g. dmax, 5, 10, 20 and 30 cm. The
pro®les were measured over a maximum distance of 49 cm.
2.2.3. Wedged ®eld data
Depth±dose data from 608 wedged ®elds and wedge
pro®les for square ®eld sizes of 5, 7, 10, 15, 20 and 30
(cm £ cm) at ®ve depths of, e.g. dmax, 5, 10, 20 and 30 cm.
2.2.4. Output factors
Output factors, Scp versus square ®eld size, separated into
head scatter correction factors, Sc, and phantom scatter
correction factors, Sp [28]. These output factors were
measured using a full-scatter phantom for the determination
of Scp, and a mini-phantom of 3.0 cm diameter polymethylmethacrylate (PMMA) with the ionization chamber in an
upright position for Sc measurements. The Sp is then
obtained from the ratio of Scp and Sc for a given ®eld size
[28]. The measurement depth was 5 cm for the 6 and 10 MV
beams, and 10 cm for the 18 MV beam. For those users of
the data set for whom the treatment planning system
required output factors at dmax, Scp was recalculated to the
output factor de®ned at this depth using the ratios of PDD
values.
2.2.5. Wedge factors, tray factor, block transmission
Wedge transmission factors were measured at 5 cm depth
as a function of square ®eld size. These wedge factors were
recalculated to the depth of dmax, again using the PDD ratios.
Tray transmission factors for the reference ®eld were determined in the same way. Transmission factors from wide
®eld measurement were included. The dimensions of blocks
were the dimensions projected to the source-axis distance.
In principle, all data were made available for evaluation
to each of the investigators participating in the intercomparison of this study. Occasionally, some additional data had to
be measured to meet the requirements of a speci®c treatment
planning system. The data were originally documented in
print, but are currently also available in digital form on CDROM. Further developments and test plans may lead to an
extension of the data set. An example is the set of diagonal
pro®les, which, in the meantime, has been added to the data
set in order to comply with other treatment planning
systems.
2.3. The test package data
The following data were measured for the purpose of the
test cases. In the development of the NCS test geometries,
the list of tests as proposed by the AAPM Task Group 23 [2]
was followed as closely as possible. For numbering of the
tests, the original AAPM Task Group 23 nomenclature has
206
J. Venselaar, H. Welleweerd / Radiotherapy and Oncology 60 (2001) 203±213
Table 1
Correspondence of the NCS test set and the AAPM task group 23 test set a
NCS
Short description of the test
(dimensions in cm)
AAPM TG 23
1a
1b
1c
2a
2b
3
4
5
6
7
Square ®eld, 5 £ 5
Square ®eld, 10 £ 10
Square ®eld, 25 £ 25
Rectangular ®eld, 5 £ 25
Rectangular ®eld, 25 £ 5
Square ®eld, 10 £ 10, SSD ˆ 85
Square ®eld, 9 £ 9, wedge
Square ®eld, 16 £ 16, central block
Square ®eld, 10 £ 10, off-axis
Square ®eld, 16 £ 16, blocked to Lshaped ®eld (irregular)
Square ®eld, 6 £ 6, lung inhomogeneity
Square ®eld, 16 £ 16, lung
inhomogeneity
Square ®eld, 16 £ 16, bone
inhomogeneity
Square ®eld, 10 £ 10, oblique incidence
Square ®eld, 10 £ 10, half phantom
(`missing tissue')
Square ®eld, 20 £ 20, half phantom
(`missing tissue')
Asymmetrical ®eld, 15 £ 15; geometric
radiation ®eld centre at: 7.5,0; 0,7.5;
7.5,7.5
Asymmetrically wedged ®eld, 15 £ 15;
geometric radiation ®eld centre at:
^7.5,0; 0,7.5; ^7.5,7.5
1
1
1
2
2
3
4
5
6
7
8a
8b
8c
9
10a
10b
11
12
a
were entered into the system and the results were listed in
tables and in a spreadsheet program, again by or under
supervision of the responsible physicist.
Comparison of computed with measured dose values was
done on the basis of the output of the treatment planning
system. If the system did not provide the result of the calculation in absolute dose values, but only in relative dose
distributions, the output was converted into dose values
using the locally applied MU calculation programme. This
was done by taking into account the relevant correction
8
8
8
9
±
±
±
±
Tests 10±12 were not included in the original set.
been used, to which other tests were added. Table 1 presents
an overview of the proposed tests and the corresponding test
numbers in the NCS set and in the AAPM Task Group 23
set. The test situations are shown graphically in Fig. 1 for
tests 10±12 only, which form the present extension of the
Task Group 23 test package. A more detailed description of
the other test cases, including the deviations from the Task
Group 23 tests, can be found in Appendix A [1,2].
The data in the test package were expressed in dose (in
cGy), for an irradiation with 100 MU. So, the dose values
included the effects of ®eld size, tray, wedge, inhomogeneities, etc. on the output. Unless speci®ed otherwise, the SSD
is 100 cm, and points at depths 1, 3, 5, 10, 15, 20, 25 and 30
cm were measured, on the central axis, off-axis and just
outside the penumbra region.
2.4. Treatment planning systems
The basic beam data of the 6, 10 and 18 MV photon
beams were entered into the treatment planning systems
listed in Table 2. For this procedure, beam data were sent
to the physicist who was locally responsible for clinical
acceptance of the treatment planning system. This local
physicist supervised and controlled the beam data entry
into the system. Then, the test situations described above
Fig. 1. Graphical representation of the test geometries 10±12. The dots in
the side views of the beams represent the points at which the dose was
measured. In test 10, the collimator rotation axis of the treatment unit was
positioned at the edge of the phantom. In the beam's eye view of tests 11
and 12, the cross indicates the position of the collimator rotation axis, while
the dots represent the position of the geometric radiation ®eld centre of the
asymmetrical 15 £ 15 cm 2 ®eld. Three asymmetrical positions of the ®eld
centre were included in test 11 and ®ve positions were used for the asymmetrically wedged ®eld of test 12. The tests 10±12 form the extension of the
AAPM Task Group 23 test package, and these have now been included in
the NCS set.
J. Venselaar, H. Welleweerd / Radiotherapy and Oncology 60 (2001) 203±213
207
Table 2
List of treatment planning systems participating in the intercomparison
System
Version
Manufacturer
Test centre
LPS
TheraplanPlus
Plato RTS
UM-Plan
CadPlan
Pinnacle 3
Renderplan
4C
3.0
2.01
339
2.7.7
4.0e
3.5
LPS
Theratronics
Nucletron
University of Michigan
Varian
ADAC
Elekta
Eindhoven, Catharina Hospital
Tilburg, Dr B. Verbeeten Institute
Utrecht, University Medical Center
Amsterdam, The Netherlands Cancer Institute
Nijmegen, University Hospital
Antwerpen, AZ Middelheim
Arnhem, ARTI
factors: the head scatter factor, the phantom scatter factor,
and whenever applicable, the tray and/or wedge factor. If
these factors were a function of ®eld size, linear interpolation was applied between the nearest measured data points.
These correction factors were part of the data set.
The results were reported back to the responsible physicists. In a number of cases (see below), recalculation of a
part of the test was accepted by the investigators, e.g. due to
inappropriate initial beam modelling or misinterpretations
of the tests.
2.5. The analysis of the results
The deviations between the calculated dose, Dcalc, and the
measured dose, Dmeas, reported in this paper have been
de®ned as percentage deviations of the local dose, i.e. the
dose measured at a speci®c depth according to:
…Dcalc 2 Dmeas † £ 100%=Dmeas . In those cases where the
points were outside the penumbra or under a block, the results
of the comparison were expressed relatively to the dose
measured at the same depth, but on the central axis of the
open beam, Dmeas,cax, according to …Dcalc 2 Dmeas † £
100%=Dmeas;cax [29].
To avoid the necessity to present all data in the form of a
large number of histograms, the concept of the con®dence
limit, D , has been used in addition to the graphical representations[29,30]. The con®dence limit is based on the calculation of the average deviation between calculated and
measured dose values for a group of data points in comparable situations, and the standard deviation (1 SD of the average) of the differences. The con®dence limit has been de®ned
as follows in Eq. (1)
D ˆ javerage deviationj 1 1:5 £ SD
…1†
For each speci®c test situation, the con®dence limit was used
to judge the performance of a set of calculations. The tolerance for the con®dence limit could be exceeded because the
average deviation of all points is too large, but also in cases
where a few data points showed extreme deviations and
therefore increased the SD. The factor 1.5 in this expression
is a weighting factor which was shown in this study to be
practical for this type of test. If a factor of .1.5 was chosen,
then the effect of random errors would have been emphasized, while a factor ,1.5 would increase the relative importance of systematic deviations. For many test situations with
open beams, the con®dence limit should not exceed a tolerance of 3%, but in more complex cases, a larger value of the
tolerance was justi®able (see Table 3) [29].
The results of the comparison between the measured and
calculated dose values at all points of the test set were made
available to the participants of the study. In the presentation
of the results in this paper, all relevant data points up to 25
cm depth were included, except for the points lying in the
build-up area (at 1 cm depth) and the points outside the
beam borders. It is generally acknowledged that the accuracy of calculations in areas with a very high dose gradient
(.3%/mm) can be better expressed as a shift of isodose
lines[27,29]. For an evaluation in such areas, the data in
the test package were considered unsuitable in the context
of the present analysis. The build-up and penumbra points
were therefore not taken into account in the present analysis.
3. Results
Table 4 presents the ®nal outcome of the intercomparison
Table 3
Values of the criterion for the con®dence limit for the different types of test
geometries a
Description
1 Homogeneous, simple geometry
Output factors
Central axis data of square ®elds
Off-axis data
2 Complex geometry (wedged ®elds,
inhomogeneities, irregular ®elds,
asymmetrical collimator setting)
Central and off-axis data
3 More complex geometries, i.e.
combinations of #2
Central and off-axis data
4 Outside beam edges
In simple geometry
In complex geometry (see #2)
In more complex geometry
(combinations of #2)
Tolerance
in % of local dose
1
2
3
3
4
In % relative to the dose at the
same depth, but at the central
axis of the open beam
3
4
5
208
J. Venselaar, H. Welleweerd / Radiotherapy and Oncology 60 (2001) 203±213
Table 4
Intercomparison of seven treatment planning systems a,b,c
Test number
Description of ®elds
Tolerance (%)
LPS-1 (LPS-2) d
Theraplan
Plato-RTS
UM-Plan
CadPlan
Pinnacle
RenderPlan
1a±c
2a±b
3
4
5
6
7
8a±b
8c
9
10a±b
11
12
Square
Rectangular
Short SSD (85)
Wedged
Central block
Off-centre plane
Irregular block
Lung inhomogeneity
Bone inhomogeneity
Oblique incidence
Missing tissue
Asymmetrically open
Asymmetrically wedged
3
3
3
3
4
3
3
3
3
3
3
3
4
2.1 (0.8)
3.0 (1.0)
1.6 (0.8)
4.1 (0.8)
3.9 (0.9)
2.1 (0.9)
10.7 (2.8)
2.0 (1.2)
4.3 (0.7)
1.5 (1.5)
2.6 (1.5)
4.9 (1.7)
8.9 (2.0)
1.4
2.3
1.5
3.0
3.4
3.0
4.5
3.1
1.7
1.9
2.2
4.0
9.7
1.1
2.9
1.1
2.5
3.3
2.1
5.2
1.2
3.6
1.5
1.6
3.3
8.5
1.2
4.0
1.4
2.4
2.1
1.9
6.9
1.5
2.8
1.4
3.4
2.0 e
5.4 e
1.3
2.1
1.1
1.7
3.8
3.4
4.5
2.4
NA
1.2
4.3
2.8
10.1
1.3
2.5
1.1
2.3
2.6
1.1
3.3
3.2
2.0
1.7
1.7
2.4
4.8
0.9
1.9
1.0
2.3
3.1
1.8
4.5
3.5
1.6
1.5
1.3
2.6
8.8
a
The values in the columns under the system names represent the con®dence limit (in % of the local dose value) calculated for the groups of pre-selected
points in the geometries presented.
b
Values are presented in bold if the tolerance for the con®dence limit (see Table 3) was exceeded. Note that, if the calculated value of the con®dence limit
was within the tolerance set for D , this means that still 6.5% of the pre-selected points in that geometry may exceed that limit.
c
NA, `not available'.
d
The column LPS-1 includes the results obtained initially with the LPS system, while the values between brackets show the ®nal results (LPS-2) obtained
after remodelling the basic beam data, illustrating the user's in¯uence on the outcome.
e
Only data for the relative dose calculation were available.
for the different test geometries. The outcome was
expressed for each treatment planning system as the con®dence limit found for the individual test or groups of tests. In
those cases where the tolerance was exceeded, the results in
the table are marked in bold font.
Table 4 illustrates for one speci®c treatment planning
system, the in¯uence of the user on the results of this type
of comparison. The con®dence limit which was initially
found for the LPS system is shown under the heading
LPS-1. When we reported these values back to the responsible physicist, a number of corrections in the modelling
process were considered necessary, resulting in the data
shown between brackets in the same column (LPS-2).
As the evaluation of the test was done for each beam
separately, more information was available and we actually
could have reported here the results of the tests of each beam
quality separately. In one particular case, such as for test 2
of the UM-Plan, considerable differences were found for the
three beam qualities, but, in general, the results were quite
similar for the different beam qualities of a given treatment
planning system. This ®nding allowed us to combine the
results and, as a consequence, to limit the data presented
in this paper.
The results of the square ®elds test were all in compliance
with the tolerance set for D in Table 3. For each of the
systems, the square beam situations of the tests 1a±c were
combined. Only data points lying within the geometrical
borders of the ®eld up to a depth of 25 cm were included.
For each system, 108 data points were used. The largest
deviations were found for the Theraplan system, with values
calculated for D of 1.4%. The initial value of 2.1% calculated for LPS was later reduced to 0.8%. The overall result
was very satisfying for all systems. The same observation as
made for square ®elds, compliance with the tolerance for D ,
held for practically all results of the tests with rectangular
®elds (test 2, except for D of the UM-Plan exceeding the
tolerance), shortened SSD (test 3), the wedged ®eld (test 4,
except for LPS-1), and the off-centre plane (test 6, one
system with 3.4%, others #3%). In the central block test
(test 5), the calculated values of D were within 4%.
For the irregular ®eld geometry of test 7, a 3% tolerance
for the con®dence limit was de®ned, but only two (LPS-2
and Pinnacle) out of the seven systems were able to reach or
approximate this goal. The UM-Plan showed a large deviation (6.9%) from the criterion. For the other systems, D was
in the range of 3.3±5.2% (see Fig. 2). This histogram shows
the frequency distribution of the relative dosimetric errors,
expressed in percentages, of the local dose for all preselected dose points included in the evaluation of the speci-
Fig. 2. Frequency distribution of the relative dose deviations (in % of the
local dose) for test 7, irregular ®eld. For this geometry, the results of the
points off-axis, but within the borders of the beam were included. Eighteen
data points were included for each treatment planning system.
J. Venselaar, H. Welleweerd / Radiotherapy and Oncology 60 (2001) 203±213
®c test geometry. We have chosen, for clearer presentation,
to include in this and other histograms only the results of the
three systems which showed the largest values of D calculated for each test geometry. Thus, if not shown, other
systems performed better for the given test.
Both the low and high density inhomogeneities of test 8
were calculated, in general, with a reasonable accuracy. All
results were within 4%, and the majority of the data was
within the 3% tolerance set for this case.
For the situation with a beam obliquely incident on the
surface of the phantom of test 9, a few points showed a large
deviation between measurement and calculation. All these
points were at the shallowest depth. The con®dence limit, D ,
for this situation was calculated only for the points beyond
the depth of dmax. Then, for these points, no problems were
found for any of the systems (see Table 4). The results for all
systems were well within the 3% tolerance.
In the test for `missing tissue', all points were taken into
account for both ®eld sizes, i.e. for the 10 and 20 cm square
®elds. The results are shown in Fig. 3. Some of the systems
showed very good agreement between calculation and
measurement, but others (UM-Plan and CadPlan) had larger
deviations. This result indicated a less adequate handling of
the scatter dose contribution by these systems, particularly by
CadPlan, which was clearly in excess of the criterion of 3%.
In general, no serious problems were detected with the
open asymmetrical ®eld settings. Two systems were in
excess of the tolerance for D of 3%, but were within
#4%; all others had better results. In contrast with this
®nding, the asymmetrically wedged case was apparently
too dif®cult for most of the systems, as can be seen in
Table 4, and is shown for three systems in Fig. 4. All
systems except LPS-2 exceeded the tolerance of 4% set
for D in this case, one other system (Pinnacle) was within
5%.
For one of the systems, Renderplan, a histogram of the
results of test 12 is shown in Fig. 5, in which a separation
was made for points lying below the thin part, the central
Fig. 3. Frequency distribution of the relative dose deviations (in % of the
local dose) for test 10, missing tissue situation. The two different ®eld sizes
were combined. CadPlan was in excess of the tolerance with a calculated
value of D of 4.3%. For comparison, the results of Theraplan and UM-Plan
were also included in the graph, with values for D of 2.2 and 3.4%, respectively. For these two systems, 108 data points were included, while 90
points were available for CadPlan.
209
Fig. 4. Frequency distribution of the relative dose deviations (in % of the
local dose) for test 12 with asymmetrically wedged beam settings. Results
are shown here for the wedged ®elds for Theraplan, CadPlan, and Renderplan. For each system for test 12, 225 data points were included.
part, and the thick part of the wedge. In most of the systems,
we found that there is a similar continuous shift in the dose
deviation if the position of the rayline from the source to the
point is varied from the thin to the thick part of the wedge.
The calculated dose was typically too low under the thin
part and too high under the thick part of the wedge.
4. Discussion
Quality assurance of treatment planning systems has been
the subject of study of several groups of physicists, formulating recommendations for the commissioning and routine
quality control of these systems [2,3,4,6,7,13,14,18,24].
Different types of studies can be distinguished. Dale [8],
Prasad et al. [19], and Sauer et al. [23] presented studies,
in which the performance of one speci®c treatment planning
system was discussed, using machine data obtained in the
same clinic and comparing these data with results of calculations. Other groups reported results of intercomparisons of
the performance of different planning systems. This was
occasionally done using the planning systems from different
clinics using the locally available data [22,31,32]. In some
Fig. 5. Frequency distribution of the relative dose deviations (in % of the
local dose) for the asymmetrical beam settings of wedged ®elds in test 12
shown for Renderplan. This histogram is a typical example of the results of
the systems with larger deviations, when these were separated for points
below the thin part, the central part, and the thick part of the wedge.
210
J. Venselaar, H. Welleweerd / Radiotherapy and Oncology 60 (2001) 203±213
reports, data for a speci®c treatment technique or tumour
localization, such as breast treatment, were used [9,11,25].
With such a type of intercomparison, in general, no judgement could be given of the relative quality of a speci®c
system, because these tests were not performed with the
same data set. A new and interesting approach to analyze
the performance of a treatment planning system was
followed in the European Dynarad project [5]. In this
project, speci®c test conditions were de®ned, for which
dosimetric reference data were made available for various
beam qualities. A test protocol was developed, in which
calculated correction factors could be compared with
measured correction factors which depend on the QI only.
The generally applied approach to test treatment planning
systems is to enter one common data set into different
system(s) and to compare the results of calculations with
measured data [21,24]. Recently, a test package was developed for this purpose by the AAPM Task Group 23 [2]. The
®rst reports on the use of this data set were published, e.g. by
Alam et al. [1], comparing two treatment planning systems,
Plato version 1.21 and Theraplan version 5. Ramsey et al.
recently added a version of the ADAC Pinnacle and Varian
CadPlan system to the list [20]. Declich et al. [10] reported
the work of the Italian CadPlan user's group in this ®eld for
versions 2.7.9, 3.0.6, and 3.1.1 of this system. In the present
study, we have tried to overcome the drawbacks associated
with the AAPM data set [2] as discussed earlier. The beam
qualities of the Elekta SL linear accelerators used in our
study re¯ect commonly used photon beam energies: 6, 10
and 18 MV. These machines will be in use for a number of
years and are equipped with modern accessories, such as a
MLC. The set of beam data described in the present paper
was compatible with the demands of the planning systems
listed in Table 2.
With respect to the test results of the different treatment
planning systems, the following remarks can be made. All
systems taking part in our intercomparison were available as
full 3D treatment planning systems, except LPS [26]. This
latter system was a relatively simple treatment planning
system, which could perform all dose calculations in 3D.
It had, however, a number of limitations with respect to, for
instance, table rotation and patient contouring. All systems
performed reasonably well, with results for most of the tests
in compliance with the stated tolerances for D , except for
tests 7 and 12. In those cases where a system exceeded the
criterion for D in tests 1±11, the results were, in general, not
far above this criterion. The somewhat larger deviations of
test 2 with rectangular ®elds in comparison with the case of
the open square ®elds of test 1 compared well with the
results previously reported by Declich et al. [10] for the
CadPlan system. The fact that only the output factors of
square ®elds were used by most systems and not the data
separated for the X and Y jaw settings (the collimator
exchange effect), can have given an unnecessary rise to
the deviations. These data were available in the NCS set.
It is noted that the AAPM Task Group 23 package lacks this
information. The irregular ®eld geometry of test 7 simulated
blocked ®elds used in conventional therapy (e.g. mantle
®elds). This test is even more relevant when applying
conformal radiotherapy and intensity modulated radiotherapy. The largest deviations were found for the UM-Plan
with a value for D above 6%. With values around 5%,
most other systems were above the criterion of 3% set for
this situation. Only for LPS-2 and Pinnacle was a relatively
good result found in the irregular ®eld case. For the inhomogeneity tests, no serious deviations were observed, with
values of D of 3.6% at maximum, which was close to the
tolerance of 3%. Extreme values, such as those reported
previously for the older Plato version 1.21 by Alam et al.
[1], for the inhomogeneity test were not found in this study.
For the results of test 9, oblique incidence, satisfactory
results were found for all systems, provided that the points
in the build-up region were excluded from the analysis. It is
generally agreed upon that deviations between calculation
and measurement for points in a region of high dose, large
dose gradient should be expressed as a millimetre shift of
isodose lines, rather than in percentage deviation of the dose
values. Most systems may have suffered from deviations
due to interpolations or to the choice of grid size. For this
reason, we have excluded these points from the calculation
of the con®dence limit for this test. The `missing tissue' test
of test 10 was not included in the AAPM Task Group 23
package. The UM-Plan and CadPlan systems did not ful®l
the requirement of 3%. Other systems performed better. We
have found that the results of test 11 with asymmetrically
collimated ®elds were almost all within, or close to, the
stated criterion. Deviations were, in general, slightly
worse than the results for the rectangular ®elds. In contrast
with this observation, the asymmetrically wedged ®elds
showed a much larger deviation, as illustrated in Table 4
and Fig. 4. Apparently, present-day algorithms in treatment
planning systems cannot handle this situation properly. An
explanation might be that the systems have a method of
calculating the dose for the symmetrical wedge settings, in
which the lack of scatter contribution from the region under
the thick part of the wedge is balanced by increased scatter
contribution from the region under the thin part of the
wedge. In asymmetrical settings, this balance may be lost,
which results in large deviations between calculations and
measurements. Improper beam hardening calculation for
thick and thin parts of the wedge may also have contributed
to this discrepancy. Most of the systems showed the same
type of deviation, leading to too low a value of the calculated dose under the thin part of the wedge, and too high a
value under the thick part. It can therefore be concluded that
software developers should put their efforts into improvements of their models speci®cally for the situation of test 12.
We have compared our detailed test results with similar
results published recently by Alam et al. [1], Ramsey et al.
[20], and Declich et al. [10]. In this comparison, it was
important to note that different versions of treatment planning systems have been used. Furthermore, differences in
J. Venselaar, H. Welleweerd / Radiotherapy and Oncology 60 (2001) 203±213
the results may have been caused by different investigators
implementing the beam data into the system. As Alam et al.
[1] stated, the test package can be installed differently by
different users, computation options can be chosen differently by the user executing the treatment planning test cases,
variations may have been applied in the ®tting procedures
used in the calculation algorithms. Personal choices by the
user could thus have affected the results. Finally, the results
of our study were obtained with the NCS test package,
whereas the others used the original AAPM test package.
In summary, we have found in this comparison, overall
results for the CadPlan system which were slightly better
than those reported by Declich et al. Another conclusion is
that the results of the newer Plato system V.2.01 and the
TheraplanPlus system 3.0 were much improved compared
with the older 2D or 2.5D versions, either by improved
algorithms or better operator skills. This was especially
the case for the central block (test 5) and the inhomogeneity
tests (test 8), where improvements were signi®cant. For
irregular block geometry, however, no signi®cant difference
was found between the two versions of each system. The
ADAC Pinnacle system showed better results for most tests,
except for the wedge and inhomogeneity cases.
With respect to the criteria of acceptability, we conclude
that the concept of a con®dence limit, D , works well to
reduce the amount of data in the presentation of the results
of these test packages. The tolerances set for the different
geometries [29] seem realistic, although for some situations,
some of the systems have dif®culties in complying with the
proposed criteria. However, the fact that other treatment
planning systems were able to meet a certain criterion, as
illustrated by the results in Table 4, should be a challenge
for the suppliers of any other system. It is our opinion that a
con®dence limit of 4% should be strived for in cases of the
asymmetrically wedged ®elds of test 12, although most of
the systems were unable to meet this criterion. In clinical
practice, ®elds with asymmetrical collimation and a wedge
are used more and more routinely. The users, on the other
hand, should therefore be warned about the differences that
were found and should set limitations on the clinical use of
such settings unless the results of dose calculations are veri®ed thoroughly.
In general, the data presented as a result of a test package
calculation in the form of mean deviations, standard deviations or, as we have done, the con®dence limit, cannot be
considered to have a de®nitive value. Too many factors had
more or less in¯uence on these results. The data points used
in the tests form a selected set of points in a 3D beam
geometry which we assumed to be representative for the
whole volume. Another major factor was the effort of the
users to model the beams in their systems. In our experiences, with an intermediate report of the results to all participants, we found that several tests of several systems gave
better results after a recalculation, i.e. after a remodelling of
the beams. Some rather extreme examples are presented in
Table 4. This table demonstrates that the results presented in
211
this paper not only re¯ect the relative accuracy of the treatment planning systems, but also indicate that increased
attention of the user leads to improved results. Another
point is that pro®les of certain types of linear accelerators
may, in some treatment planning systems, be better
modelled than pro®les of other types of linacs. Pro®les
may be indented at the central part of the beam, which
changes with depth. Wedge design is typical for each linear
accelerator type as well. The NCS package is composed
with data of Elekta SL type accelerators only. Finally,
new versions of treatment planning systems will outdate
at least some of the results. Our results can therefore best
be considered as a good set of reference values, against
which individual users or user groups can check which
improvements are achieved by newer versions of their
systems or by better beam modelling.
For future work, the beam data set has been further
extended to comply with treatment planning systems other
than those listed in Table 2. In this respect, the set will
include, in the near future, output factor data determined
at a reference depth of 10 cm and an SSD of 90 cm.
Beam pro®les at this depth including cross pro®les, as
demanded by the Helax TMS system (MDS Nordion),
have been included. As part of new studies, data from developments in treatment delivery systems will also be
measured and added to the test package. In this way, the
compatibility of dose calculation algorithms with these
devices can still be tested. As an example, we have developed a speci®c test program for the MLC of one of the linear
accelerators of the Utrecht department. Also, more complex
test con®gurations, including 3D inhomogeneities, are
under development and will be added to the package.
5. Conclusions
A new data set has been developed, analogous to the
AAPM Task Group 23 test package, but measured on accelerators having beam qualities that are clinically applied
more frequently. The set of test con®gurations was
expanded with tests for a `missing tissue' geometry and
for asymmetrical collimator settings, including asymmetrically wedged beams. Further development towards new
features of radiation equipment, e.g. a MLC, are underway.
The new test package was used in an intercomparison of
seven different treatment planning systems, which were
considered to be representative of state-of-the-art systems.
The set proved to be complete, and in digital form, suitable
for beam modelling purposes for most of the tests of the
participating systems. Additional data making the test package suitable for other systems have been measured and will
be added to the set. Typical results of the tests performed on
the different systems are presented and discussed. Major
problems were found for the asymmetrically wedged ®elds
for the majority of the treatment planning systems in this
study. The criteria for acceptability and quality assurance of
212
J. Venselaar, H. Welleweerd / Radiotherapy and Oncology 60 (2001) 203±213
treatment planning systems, which have been suggested
elsewhere [29], could be analyzed. The feasibility of these
tolerances was established in this intercomparison. The new
test package is available for other investigators or user
groups and will be part of a forthcoming NCS report on
QA of treatment planning systems.
Acknowledgements
Arjan Renders, Piet van der Linden, Henk Huizenga, Bob
Smulders, Lau Mestrom, Bie De Ost, are acknowledged for
their kind co-operation, their help and useful comments
regarding all aspects of this study. The authors thank Ben
Mijnheer and Bob Schaeken for their detailed comments on
the manuscript. This work was performed within the framework of the Task Group on Quality Assurance of Treatment
Planning Systems of the Netherlands Commission on Radiation Dosimetry (NCS).
Appendix A. Description of the test geometries and
differences with the Task Group 23 test package
Test 1: square ®elds; the dose at points on the central beam
axis was measured for ®elds 5 £ 5, 10 £ 10 and 25 £ 25 cm 2.
The distances from the central beam axis to the off-axis
points were 1, 3 and 9 cm, respectively. The distances from
the central beam axis to the points just outside the penumbra
were 5, 9 and 19 cm, respectively. So, these points were all on
lines parallel to the central axis of the beam.
Test 2: rectangular ®elds; the dose was measured for
®elds with collimator settings of 5 £ 25 and 25 £ 5 cm 2, in
points on the central beam axis and in off-axis points: at
distances from the central axis of 3 and 9 cm in the beam,
respectively, and 9 and 19 cm, i.e. outside the penumbra.
Test 3: variation of SSD; in this case, the isocentre was set
at a depth of 15 cm, i.e. at an SSD of 85 cm. The ®eld size at
the isocentre was 10 £ 10 cm 2. Points were at the central
axis and at off-axis distances of 2.5 and 7 cm.
Test 4: wedged ®eld; the ®eld size is 9 £ 9 cm 2 at the
isocentre. The motorized 608 wedge of the accelerators
was used. Points on the central beam axis were chosen, as
well as points at a distance 2.5 cm left and right from the
central beam axis, in the direction of the wedge. Note that in
the Task Group 23 test package, a 458 wedge was used.
Test 5: central block; the ®eld size was 16 £ 16 cm 2.
Centrally and symmetrically with respect to the beam
axis, a block was positioned, of which the projection shades
an area of 2 cm width and 7 cm length at isocentre distance.
Points were located on the central beam axis (shaded by the
block) and at an off-axis distance of 4 cm. Note that the
block dimensions differ slightly from the block used in the
equivalent Task Group 23 test.
Test 6: off-centre plane; a plane parallel to the central
beam axis was used, shifted 4 cm in the GT-direction
towards the gantry. The ®eld size was 10 £ 10 cm 2. Points
were located on the central line of this plane, and at off-line
distances of 3 and 8 cm.
Test 7: irregular ®eld; an `L'-shaped ®eld was obtained
by blocking an area of 12 £ 12 cm 2 in the corner of a
16 £ 16 cm 2 ®eld. Points were located on the central beam
axis shaded by the block, and at an off-axis distance of 7 cm,
i.e. in the open part of the `L'-shaped ®eld. Due to the
divergence of the open part of the beam, an off-axis distance
of 7 cm was chosen instead of the 6 cm distance in the
equivalent Task Group 23 test.
Tests 8a,b: inhomogeneity, `lung'; the lung inhomogeneity was created in a ®eld of: (a), 6 £ 6; and (b), 16 £ 16 cm 2
using a cylinder with a relative electron density 0.2, perpendicular to the central axis. The centre of the cylinder was
positioned on the central beam axis at 8 cm depth. The
diameter of the cylinder was 6 cm. The points were below
the inhomogeneity, starting at depths of 12 cm up to the
maximum depth, along the central axis and off-axis at the
same depths at a distance of 2 cm in the 6 £ 6 cm 2 ®eld and
at a distance of 5 cm in the 16 £ 16 cm 2 ®eld. Note that the
relative electron density of the cylinder is different from the
cylinder in the Task Group 23 test.
Test 8c: inhomogeneity, `bone'; for this test case, a ®eld
size of 16 £ 16 cm 2 was used. The bone simulating inhomogeneity was created by using a cylinder with a relative electron density of 1.8 with a diameter of 2.0 cm. The cylinder
was positioned perpendicularly to the central beam axis with
its centre at 6 cm depth. The points were on the central beam
axis, below the inhomogeneity, starting at depths 10 cm up to
the maximum depth, and at the same depths, at a 4 cm off-axis
distance. Note that the relative electron density of the cylinder is different from the cylinder in the Task Group 23 test.
Test 9: oblique incidence; a beam was positioned at an
angle of 458 to the phantom, with the entrance point at SAD.
The ®eld size was 10 £ 10 cm 2, de®ned perpendicular to the
beam axis. Points for comparison were taken at the central
beam axis, and at distances of 13 and 23 cm from the
central beam axis in planes parallel to the phantom surface.
Depths were taken from 1 to 20 cm.
Tests 10a,b: missing tissue (half phantom); two ®elds
were used with ®eld sizes of 10 £ 10 and 20 £ 20 cm 2. In
practice, the beam was measured with the gantry at 908, and
the central beam axis coincides with the surface of the phantom: only half the beam hits the phantom. Points were at 1.0,
2.5 and 4.0 cm from the phantom side wall in the smaller
®eld, and at 1.0, 5.0 and 9.0 cm from the phantom side wall
in the larger ®eld (see Fig. 1).
Tests 11±12: half and quarter ®elds with asymmetrical
collimator setting; for a test of an open (11) and wedged
(12) asymmetrical ®eld setting, a square ®eld projection of
15 £ 15 cm 2 was used. The geometric radiation ®eld centre
coincided in the ®rst instance with the collimator rotation
axis (the setting is symmetrical, at position 0,0), and was
then shifted to the asymmetrical positions, 0,7.5; ^7.5, 0;
and ^7.5,7.5 (in cm, from the collimator rotation axis).
Points were chosen at 16.0 and 26.0 cm from the
J. Venselaar, H. Welleweerd / Radiotherapy and Oncology 60 (2001) 203±213
geometric radiation ®eld centre, i.e. below the thick part and
below the thin part of the wedge (see Fig. 1).
The latter tests (10±12) were not included in the Task
Group 23 test package.
For more information regarding the NCS activities and
the availability of the forthcoming report, see http://
www.ncs-dos.org.
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