Outline

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DRAFT Version June 09, 2003
Outline
©
ƒ IMRT Evolution and Hypothesis
ƒ IMRT Implementation Issues
– Workload, Cost ?, Carcinogenesis ?
ƒ IMRT Technology Strategies
– Cones, Fans, and Pencils of XX-rays
– HiHi-LET particle beams
ƒ The Adaptive Radiotherapy Process
J. Battista and G. Bauman
London Regional Cancer Centre
University of Western Ontario
London Canada
– 3D and 3D+ Imaging
– Dose Reconstruction and Dose Imaging
ƒ Biological Advances
ƒ Future Outlook for IMRT
Beam Delivery Evolution
1950 …
Megavoltage
Isocentric Setup
2000
Blocks
MLC
Wedges
Dynamic Wedge
Comps
Dynamic DMLC
Image Guidance Evolution
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ƒ
ƒ
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ƒ
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Portal Imaging (Film)
Portal Imaging (Electronic)
Biplanar Radiography
Ultrasound
Video Tracking
CT Imaging
– CT scanner in room
– CT scanner “on board”
ƒ Kilovoltage versus Megavoltage
ƒ Cone Beam versus Fan Beam
J. Van Dyk et al.
Hypothesis for IMRT
ƒ Inadequate locoloco-regional control of tumors is a
significant barrier to cancer survival
ƒ Better dose distributions translate into better clinical
outcomes
– “Herman Suit Credo”
ƒ Goals:
– To achieve greater differential effects between tumour and
normal tissue, through stronger dose gradients
– To exploit dose escalation
– To optimize TCP (1.0 – NTCP)
1
Tumour Strategies
IMRT Strategy
ƒ Local – solid, localized, GTV
Response
IMRT
gradients
– Surgery or radiation
ƒ Regional – nodes in healthy tissue matrix, CTV
– Surgery, radiation, chemotherapy
– Conformal avoidance
ƒ Systemic – lymph, blood, marrow, CTV+
– Chemotherapy, radioradio-nuclides
Strategic “juggling” is often used:
ƒ As better systemic agents become available, locolocoregional control will gain more importance
ƒ 3DCRT and IMRT needed in the future
Target
Critical
Organ
Dose
IMRT - Scale of Benefits
IMRT in Perspective
Benefit
ƒ Individual Patient
–
–
–
–
IMRT
SIMAT
3D CRT
ƒ Select Cohort of Patients
– Clinical Trials (Phase, I ,II, III)
– Find the “niche” for new techniques
MV
ƒ Patterns of success and failure
ƒ Populations
– Phase III – attitude is IMRT better/cheaper than surgery ?
– SocioSocio-economics
– Significant gain factors
HiHi-LET
IMAT
Probability of success = TCP(1 - NTCP)
For one patient, however, it is a binary outcome
“I want the best treatment available”
Fractionation schedule and convenience
kV
Benefit-Cost Ratio
kV
kilovoltage x-rays
MV
Megavoltage x-rays
3D CRT 3D conformal radiotherapy
SIMAT Simplified Intensity Modulated Arc Therapy
IMAT
Intensity Modulated Arc Therapy (x-rays)
IMRT
Intensity Modulated Radiotherapy (x-rays)
Hi-LET High LET radiation (with charged particles)
IMRT-Hi-LET Combination of above
Complexity and Cost
E. Wong, LRCC
Population Level
100 % - diagnosed with cancer
35 % are treated
with radiation ±
other treatment
modality
25 % achieve
loco-regional
control
Is 5 % significant ?
30 % - have
metastatic
disease
70 % - have locoregional disease
on presentation
35 % are treated
without radiation
10 % fail with
loco-regional
recurrence ±
metastases
25 % achieve
loco-regional
control
With
IMRT
5 % fail due to
physical causes
5 % fail due to
biological causes
10 % fail with
loco-regional
recurrence ±
metastases
50 % Patients who
will not survive
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ƒ
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ƒ
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US population is 287 million
1.28 million/yr will be diagnosed with cancer
555,000/yr will succumb
5 % corresponds to saving over 64,000 lives/yr
Extendable to world population ?
Repeat algorithm for each tumour site
Without
IMRT
2
3D Geometrics
IMRT QA Escalation
ƒ 3D Geometry
– MultiMulti-Modality images (CT,PET, MRI)
– Complex beam shaping
– Portal Imaging
ƒ 3D Imaging
– CT (planning and verification)
– Functional data (e.g. hypoxia)
ƒ 2D and 3D Dosimetry
– Smaller fields - calibration
– 3D dosimetry,
dosimetry, integrating
– 3D dose reconstruction (in(in-vivo)
Craig, Brochu Van Dyk, IJROBP, 1999.
QUASAR, Modus Medical Devices/Standard Imaging
3D Densitometry
Dosimetry (SIMAT)
First Generation Optical CT
Scanner (LRCC model)
E. Wong et al, LRCC
IMRT Staff Escalation
3-D view of isodose surfaces:
300, 200 and 100 cGy
Dose distribution measured by
gel on central slice
ƒ
ƒ
ƒ
ƒ
Requirements*
equirements*
Retention
Recruitment
Residency Programs
* Ontario Standard:
1 physicist per 300 RT cases
Theraplan Plus and gel isodose
lines: 240,180,120 cGy
Theraplan Plus and gel isodose
lines: 270,210,150 cGy
3
IMRT Cost Escalation
BreakBreak-Even Condition
ƒ Prostate (Perez et al., 1997)
– Standard RT Revenue
– 3D3D-CRT Revenue
– RT Failure (with hormones)
ƒ Standard Radiotherapy
$10,900
$13,800
$40,800
[CSRT + ∆F (1 – TCPSRT)]
ƒ New and Improved Radiotherapy
[(CSRT + ∆C ) + ∆F(1∆F(1- (TCPSRT + ∆TCP))]
ƒ (Perez et al., 2001)
– Standard RT Revenue (prostate)
– 3D3D-CRT Revenue (prostate)
– IMRT Revenue (head & neck)
ƒ Equilibrium condition yields…
$10,800
$15,600
$18,100
∆C = ∆TCP x ∆F
∆TCP = ∆C / ∆F
A Hidden Cost ?
Secondary Carcinogenesis
3D3D-CRT Example
ƒ Prostate (Perez et al ,1997)
– ∆C = $3,000 incremental cost of 3D3D-CRT
– ∆F = $27,000 incremental cost of failure
– ∆TCP = 3/27 = 0.11
ƒ Hodgkin’s Disease (Cellai
(Cellai et al., 2001)
– 16 % lifetime risk of secondary cancers at 15
years postpost-radiotherapy
– Double the baseline risk
ƒ Break Even if TCP climbs from 80 % to 91 %
ƒ ∆C Factors
–
–
–
–
–
Capital and operating costs
Fractionation, throughput, and efficiency gains
Automation/delegation of treatment planning
Supplies (e.g. cerrobend)
cerrobend)
Staff Injury reductions (e.g. blocks vs MLC)
ƒ (Hall EJ, 2000)
– Breast cancers following RT
ƒ Risk enhancement factor of 2.24
– Solid tumours following RT of prostate
ƒ ∆F Factors
– Extra procedures/medications for complications
– Extra rere-treatment “rescue”
rescue” for failure
ƒ bladder, rectum, lung, sarcomas
ƒ 34 % increase in risk
Secondary
Radiation
“In Field”
Dose
“Out of Field” Standard
Peripheral
RT
Dose
6 MV
3D-CRT
MLC
6MV
IMRT
DMLC
6 MV
A
Primary
Collimator
Leakage
Not
Applicable
Far Zone
0.1 %
0.1 %
0.1 %
B
Field Shaper
Scattering and
Leakage
Small relative
to target dose
Near and
Intermediate
Zones
0.1 %
40 cm
from field
edge
0.02 to 0.8%
0.07 %
(Followill)
(Mutic)
C
Field Shaper
Transmission
Significant for Not
shielded
Applicable
organs
< 0.5 %
< 2.5%
< 2.5%
D
In-Patient
Lateral
Scattering
Significant for Near and
target and
Intermediate
shielded dose Zones
Typically
20 %
10 MV
Reduced
with
smaller
fields
Reduced
with
smaller
fields
E
Modulation
Factor
More “beam
on” time
(MUs)
Mainly
Affects
ABC
2X
(wedges)
2X
> 3X
F
Dose Escalation
Factor
Prescription
Dose
Affects
ABCD
1.0
1.1
1.3
IMRT Peripheral Dose
• Fluence
(MUs) is increased
• modulation factor
• Dose Escalation
b
a
• escalation factor
a) Primary Head Leakage
c
d
target
b) Field Shaper Scatter
c) Field Shaper Transmission
d) In-Patient Scatter
4
3-D Imaging
IMRT Risk Estimates
ƒ Followill et al., (1997)
– peripheral dose increases from 76 mSv to 190 mSv
for 70 Gy IMRT with 6 MV xx-ray beam.
– excludes dose escalation factor (1.3 x 190 = 247 mSv)
mSv)
– Lifetime increase in cancer risk* is 1 %
– 8-fold higher for 25 MV xx- rays (neutrons)
ƒ Compare to natural lifetime risk of
– 8 % for lung cancer
– 13 % for breast cancer
– 40 % for incidence of any type of cancer
Adaptive Radiotherapy
Deformable
Dose
Registration
Dose
Reconstruction
Helical
Tomotherapy
Optimized
Planning
MV CT
+ Image Fusion
Modify
Setup
* 4 x 10 - 2 /Sv
Imaging Complementary Principle
Feature
Simulator CT
Open Gantry
Projection (2D)
Tomography (3D)
Beam's Eye View
Fluoroscopy
Surface Contours
Tissue Densities
Vasculature
Gross Target Volume
Organs at Risk
Biochemistry
Clinical Target Volume
Plan Target Volume
3D Dosimetry
x
x
x
x
x
x
x
x
MRI
(x)
x
x
(x)
x
x
x
x
x
MRS SPECT Ultra- Portal
PET
Sound Imaging
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
(x)
“Structure without function is a corpse:
function without structure is a ghost”
x
x
x
x
(x)
(x) Partly or in development
Imaging for Hypoxia
PETPET-CT Fusion
Time
T. Beyer et al.
J.D. Chapman et al.
5
PET-CT Planning and In-Vivo Dosimetry
Biological Target Volumes
CT, US
PET/SPECT, MRI,US fCT, PET/SPECT, fMRI
Tumour Cells
Density
Hypoxia
GTV
CTV
On-Line Imaging
PET/SPECT, MRS
PTV
ITV
Proliferation
Composite
Adapted from C. Ling et al...
Brahme et al 2003
Image –Guided IMRT
Pencil Beam
Fan Beam
Cone Beam
Cone
Slice
AccuRay
TomoTherapy
Cone Beam Delivery
Varian
Cone Beam CT Imaging
•Elekta SL-20
•X-ray Tube:
•600 kHU
•45 kW X-ray Generator
•Retractable Mount
•SAD: 100 cm
•Flat-panel Imager:
•41 × 41 cm2
•1024x1024 @ 400 µm
•Gd2O2S:Tb (133mg/cm2)
•Removable Mount
•SDD: 155 cm
Elekta
D. Jaffray et al.
6
Tomotherapy Unit
kV CT of Head Phantom
Gun Board
Linac
Control
Computer
Circulator
Magnetron
Pulse Forming
Network and
Modulator
Coronal
Sagittal
Transverse
320 Projections; 120 kVp, 200 mAs; 180 s.
(0.25 x 0.25 x 0.25) mm3 voxels
D. Jaffray et al.
High Voltage
Power Supply Beam Stop Detector
Data Acquisition System
TomoTherapy Inc.
MVCT of a Lung Cancer Patient at 3 cGy
Hip Prosthesis
Soft Tissue Window
Lung Window
Future HiART II
will capture 24
images/minute
Verification CT
Planning CT
MV CT Densitometry
Beam on Time
is 19 min for
5 cm Slice Width
and 1.2 Gy/fx
Courtesy
Tim Schultheiss, Ph.D.
City of Hope
7
Tomotherapy Update
Madison Team
• ISO 9001. FDA 510(k) cleared
• Animal radiotherapy 2002
• Megavoltage CT scans of humans 2002.
• First patient treated August 21, 2002.
• Two units in Canada Dec 2002.
• Two units in USA 2003.
August 21, 2002
London, Ontario
Tomo Bicycle ?
3-D Imaging
Adaptive Radiotherapy
Deformable
Dose
Fusion
Optimized
Planning
MV CT
+ Image Fusion
Patient Anatomy Changes
from Plan Day to First Treatment Day
Dose
Reconstruction
Helical
Tomotherapy
Modify
Setup
Planning kV CT
MVCT @1.5 cGy on Fraction # 1
T.R. Mackie
8
InterInter-Fraction Deformations
PTV Changes
Original
Plan
Treatment
The slices were registered
to bony anatomy
Courtesy Di Yan, William Beaumont
and Marcel Van Herk, Amsterdam
Deformable Registration
3D Deformation Field
CT Fraction n
CT Plan
Mapped 0 and n
1:1 Mapping
of Tissue
Voxels
In Vivo “Dose of the Day”
Dose Warping
Map treatment dose
onto planning image
Planned
Delivered
Dw (x,y,z) = D(T (x,y,z))
Planned dose
calculation points
with treatment dose D
Transformed points line
up with dose calculation
points of treatment image
Schaly et al.
9
Warped Dose - Multi-Fraction
Planned dose d0
Dose Error - Multi-Fraction
Referenced to Planning Scan
1 fraction d1
5 fractions D5
1 fraction ∆d1 (+29%)
Planned dose d0
5 fractions ∆D5 (+23%)
15 fractions D15
15 fractions ∆D15 (+23%)
Adaptive Dose Algorithm
Frequent treatment CT scans
f1
f2
f3
f4
f5
CT Plan
“If you can’t see it, you can’t hit it.
If you can’t hit it, you can’t cure it”
H.E. Johns or W. Powers
f0
Di,j,k(n) = Σn ∆Di,j,k(n)
“If it’s moving, you can’t hit it.
If Di.j.k (n) is not converging quickly to Di.j.k(0),
If you can’t hit it, you can’t cure it”
Re-optimize plan and beams for fn+1
Adjust for remaining dose fractions fn+1...(Radiobiology Model)
J. Battista
Reset Reference Plan to fn
Repeat as needed
Moving Tumours
Respiratory Motion
Patient CC Hold Breath After Exhalation 10/2/98
F
P
CO2
ƒ Gate the Beam
– Respiratory Monitoring
ƒ Direct (e.g. pneumotach)
pneumotach)
ƒ Indirect (e.g. chest
movement)
ŽCO
2
V
F
P
C
V
Gate
Rad On
20
Diaphragm
10
Position
[mm]
30
35
40
45
Time [sec]
50
55
60
0
– Fluoroscopic Tracking
of the target
ƒ Gate the Patient
– Breathing control
ƒ Voluntary
ƒ Forced (e.g. ABC)
10
Active Breathing Control (ABC)
Cones, Fans, and Pencils
ABC Scan
ABC Scan,
30 minutes later
Summary
Beam
Geometry
Gantry
Design
Degrees of
Freedom
Traditional
Linac
Cone beam
C-arm
Non-coplanar Breath
Hold or
Beam
Trigger
Fluoroscopy
Kilovoltage CT
Helical
Tomotherapy
Fan beam
Continuous
Helical
Scan
Circular
Co-Planar
without
junctions
Breath
Hold with
Interlaced
Helices
Megavoltage
CT
Serial
Tomotherapy
Fan beam
Sequential
Linear Steps
C-Arm
Co-Planar
Breathe
Portal Imaging
Hold during
single slice
Robotic Linac
Pencil beam
Robotic Arm Non-coplanar Gated beam Biplanar
Radiography
Beam
Gating
Potential
Capability
Free Breathing
Imaging
ƒ FanFan-beam versus ConeCone-Beam for Adaptive Radiotherapy
– CT image guidance
ƒ kV and MV image quality (noise, scatter rejection, dose)
– Beam delivery process
ƒ efficiency of photon production and “waste”
ƒ peripheral dose levels
– Gated Radiotherapy Capability
ƒ Tracking, Beam gating, or Lung gating
ƒ Dose distributions (DVHs
(DVHs)) will likely be competitive
ƒ The key will therefore be :
– “On“On-Board” Image and Dose Verification (CT, PETPET-CT ?)
– Streamlining of new adaptive radiotherapy processes
– (Beam delivery technology will become secondary)
PSI,
Switzerland
11
Loma
Linda
E. Grein et al.
Particle Beam IMRT
A Research Breakthrough ?
Scan
• position (2D raster)
• energy (depth 3D)
• intensity
Goitein et al
DNA
12
Radiobiology Strategy
Response
IMRT
gradients
Tumour
Critical
Organ
Dose
Genetic Engineering News Oct 2001
Heterogeneity
“Sell
betatron,
sell Cobalt
unit
The cure
betatron
“It will
take,another
15 to
20. years
for for
cancer
cometofrom
polyoma virus
the
newwill
biology
revolutionize
our
research”of cancer treatment”
concepts
E.A McCulloch
1960’s
E. Hall
1990’s
Current Trends
ƒ Imaging and Therapy are on convergent paths
ƒ Imaging techniques are rarely used “solo”
– Need sensitivity and specificity
– Image fusion is inevitable
ƒ Hardware or software
ƒ IMRT requires multimulti-modality imaging
– BTV concept and molecular imaging
– Gating
ƒ Biology Research
– Molecular mechanisms uncovered
– Gene expression/imaging in small animals (micro(micro-imaging)
ƒ Clinical Research
– Patterns of success and failure
– Fractionation manipulation
Conclusions
ƒ Radiotherapy is a proven “curative” agent
that can reach its full potential through IMRT
ƒ Radiotherapy is nonnon-invasive; toxicity can be
reduced further using IMRT techniques
ƒ Long term carcinogenic effects are a
concern for IMRT, especially with higher
energy xx-ray beams (e.g. > 10 MV xx-rays)
– Higher energy not needed for IMRT but needed
for PET dosimetry
13
Conclusions
Outlook
ƒ Ultimate advances in IMRT will hinge upon better imaging
of the Biological Target Volume, to be treated effectively in
space and in time.
ƒ Clinical trials are showing early advantages for IMRT both
in terms of tumour control by dose escalation and reduced
toxicity.
ƒ Positive results will impact the general cancer population,
but the magnitude of the effect is still debated, relative to
cost and complexity escalation
ƒ Efficiency and costcost-effectives of IMRT will naturally evolve
as this form of treatment becomes more widely adopted
ƒ IMRT will continue to complement new “avant
“avant
garde”
garde” therapies, including those based on
molecular targeting.
ƒ Radiation will continue to play a unique role as an
agent that is especially efficient at killing tumour
cells that find refuge in tumours that are not
approachable through systemic channels.
ƒ IMRT has produced an exciting technological
milieu that enhances the retention and recruitment
of a future generation of radiation specialists in our
evolving field.
The End
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