TomoTherapy’s Implementation of Image-guided Adaptive Radiation Therapy Katja Langen, PhD M D Anderson Cancer Center Orlando Research supported by TomoTherapy Inc.
1. M D AndersonCancer Center Orlando TomoTherapys
Implementation of Image-guided Adaptive RadiationTherapyKatja
Langen, PhDResearch supported by TomoTherapy Inc.
2. Todays Lecture Introduction to helical tomotherapy Image
guidance with TomoTherapy Adaptive radiation therapy with
TomoTherapy
3. Introduction to helicalTomotherapy
4. TomoTherapy Helical tomotherapy process to deliver IMRT Same
hardware can be used to image (MVCT) patient (IGRT)
5. TomoTherapyFan beam, continuously Patient rotates Tumor
Healthy Organ
6. TomoTherapy Divides beam into 64 beamletseach beamlet can be
on/off
7. TomoTherapyFan beam, continuously Patient rotates Tumor
Healthy Organ
16. Megavoltage CT images6 MV Accelerator(tuned to 3.5 MV for
MVCT) Primary Collimator( 4 mm Slice Width) Binary MLC85cm (all
leafs open during MVCT)User can adjust:TFOV-Scan rangeC cm40-Pitch
Approximately 50cm Courtesy of: TomoTherapy, Inc .
18. Patient Images: Head and Neck Diagnostic (kV) CT
Tomotherapy (MV) CT
19. Image guidance with the TomoTherapy system
20. TerminologyImage-guided Radiation Therapy (IGRT):Use images
to position patient -Portal images, Ultrasound,
CT-basedImage-guided Radiation Therapy (IGRT) with
TomoTherapy:Megavoltage CT (MVCT) based
21. Image (MVCT) Quality ?
22. Helical Tomotherapy: MVCT Imaging Performance
Characterization AAPM CT Phantom [Cardinal Health, Hicksville, NY].
Noise Uniformity Spatial Resolution Dosimetry Multiple Scan Average
Dose (MSAD) in 20 cm diameter acrylic phantom Meeks et al., Med
Phys, 32, pp 2673
23. Noise Expressed as % of water Mean ROIROI
StandardMatrixPitch Noise"CT #"Deviation1.0 102425.4 2.7 2561.6
1026 an worse th 25.4 2.7 -2.4 1021lues ch va25.3 2.7 t of pi1.0
ependent102835.4 3.7nd 512 ix i tr 1.6 102735.5 3.7co n ma with re
nners2.4 102936.2 3.8 Increases CT scacdiag n o s ti 1.0 102543.2
4.5 7681.6 102543.8 4.62.4 102643.3 4.6 AcQSim1.0 1005 181.9
512Meeks et al., Med Phys, 32, pp 2673
24. UniformityMaximum Peripheral to Central Deviation
MatrixPitch Maximum Uniformity Mean Mean PeripheralIndexCenter
Peripheralrs Variation (%)"CT" "CT"T sc anne 256 1.0 0.9999.5 1015
s ti c 1025 Coiagn10271019 d 1.6 0.97 99.6 a ble to 2.4 1.03 99.5
compar 10131022 v a lues 512 1.0 1.00matrix 99.5 1020 1029econ 1.6
h/r 0.9099.6 1019 1028f pitc ndent o 2.4 1.0499.5 1021 1031 I ndepe
768 1.0 0.9499.5 1019 1027 1.6 0.8099.6 1019 1026 2.4 0.8999.6 1019
1027 AcQSim1.0 0.5599.6 1006 1005 512 Meeks et al., Med Phys, 32,
pp 2673
25. Spatial Resolution: Qualitative Determination256x256 matrix
512x512 matrixNo holes resolved Visible resolution ~1.5 mm Visible
resolution > 1.75 mm 768x768 matrixVisible resolution ~1.25
mmMeeks et al.,Med Phys, 32, pp 2673
26. Meeks et al., Contrast DetailMed Phys, 32,pp 2673 181625.4
mm 14 19.1 mm12 Diameter (mm)12.7 mm 109.5 mm86.4 mm 3.2 mm 6
Visible5% difference 42 Not Visible 00 10 20304050 60 70 80 90 100
110% Electron Density Difference
27. Patient Images
28. MVCT Dose1.10 Multiple Scan Average Dose in 20-cm diameter
phantom 1.00 Fine scan ~ 1 cGy0.90 0.80 0.70 MSAD (cGy) Measured
Values Norm to Pitch 10.60 0.50Coarse scans < 0.5 cGy0.40 0.30
0.20 0.10 0.511.52 2.53 3.5 44.5 PitchMeeks et al., Med Phys, 32,
pp 2673
29. Summary Uniformity is comparable to diagnostic CT scanners
while noise is worse Spatial resolution using 512x512 matrix is
~1.5 mm Dose: ~1 cGy for fine setting (pitch of 1) ; dose decreases
with looser pitch Image Quality is acceptable for patient
alignment, and is also acceptable for delineation of many soft
tissue structures. Meeks et al., Med Phys, 32, pp 2673
30. Average In-Room Times 5 minutes for setupIGRT 3-5 minutes
MVCT scan 5 minutes reconstruction and registering MVCT to KVCT and
shift patient 5-10 minutes beam on time 5 minutes assist patient
out
31. Prostate IGRT: Helical Transverse, not aligned
Tomotherapy
38. Conclusions of alignment study Implanted marker based
alignment have least inter-user variabilityAnatomy-based alignments
outperformcontour-based alignments Langen et al., IJROBP, 62, pp
1517
39. Head and Neck alignment: bony anatomyMVCTSpinal CordBase of
skull not alignedaligned
40. IGRT and ART, do we need both ?
41. Daily-IGRT, why ART ?Deformation in the Pelvis Same
patient, different daysDosimetric consequence ?
45. Adaptive Radiation Therapy with the TomoTherapy system
46. TerminologyAdaptive Radiation Therapy (ART): Use
information from images to change subsequenttreatments -Change
margin based on observed setup/organmotion-Use images to evaluate
dosimetry (dose-guided, dosecompensation)Adaptive Radiation Therapy
(ART) with TomoTherapy:Using MVCT images to evaluate dosimetry on
daily basis
47. Adaptive Radiation Therapy: need accurate HU numbersAcquire
MVCT Recalculate dose distribution on MVCT Add dose distribution to
calculate cumulative dose Compare with plan need deformableAdapt
plan image registration
48. Accuracy of MVCT numbers
49. Need MVCT to electron density calibrationkVCTMVCT RMI,
Model 467, CT to electron densityphantom
50. MVCT to electron density calibration curves kVCTMVCT
51. MVCT Integrity ?Does the calibration change with time ?Does
calibration change with phantom arrangement ? Does the calibration
change with MVCT pitch ?
52. MVCT Integrity ? Does the calibration change with time
?
53. MVCT Integrity ? Does the calibration change with phantom
arrangement ?
54. MVCT Integrity ? Does the calibration change with phantom
arrangement ?
55. MVCT Integrity ? Does the calibration change with MVCT
pitch ?
56. Dose re-computation end-to-end testsRigid phantom kVCT scan
Fictitious target Generate treatment planMVCT scan phantom
Re-calculate dose in MVCT Compare plan DVH with recalculated DVH
Expect agreement !!!
57. Dose re-computation end-to-end tests
58. Dose re-computation end-to-end tests all target D95are
within 0.5 %
59. Dose re-computation end-to-end tests Deformed anatomy ?
Plan 2 Plan 2, Plan 2, Deformation 1 Deformation 2Point of ion
chamber measurement
61. Conclusions- MVCT numbers are reproducible MVCT to electron
density calibration is reliable- Phantom end-to-end test results
are typically within 1 % of plan results MVCT images can be used
for reliable dose computations Langen et al.: Use of mega voltage
CT (MVCT) images fordose computations. PMB, 50, pp 4259
62. Daily-IGRT, why ART ?Deformation in the Pelvis Same
patient, different daysDosimetric consequence ?
63. Evaluate dosimetric consequence: Dose Re-calculation Use
pre-treatment MVCTRecalculate plan based on planned MLC
patternRecalculate Dose on MVCT image
64. Deformation in the Pelvis Evaluate dosimetric
consequenceObtain MVCT MVCT contours Dose recalculation
65. Deformation in the PelvisPlan DVH39 true DVHs
66. Deformation in the PelvisPlan DVH 39 true DVHs 1) Requires
manual contouring 2) Need deformable image registration
tocalculated the cumulative DVH
67. Deformable image registrationRelate voxel location x to its
location in the second image (at a later time t) using a
displacement vector u(x,t)x(x,t)=x+u(x,t)Algorithm minimizes u and
differences in HU units Lu et al. , Phys Med Biol, 49, pp 3067,
2004
68. MVCT to kVCTdeformable image registration Algorithm
requires same HU for same voxel in MVCT and kVCTMVCT are noisier
=> apply edge-preserving smoothing=> MVCT numbers kVCT
numbers intensity histogram calibration Lu et al. , Phys Med Biol,
submitted, 2006
69. MVCT to kVCTdeformable image registration Algorithm maps
each MVCT voxel to kVCTAlgorithm can map each kVCT voxel to MVCT
can be used for automatic contouring of MVCT automatically
generated MVCT contours can beused to visualize deformation map Lu
et al. , Phys Med Biol, submitted, 2006
70. MVCT to kVCT deformable image registrationLu et al. , Phys
Med Biol, submitted, 2006
73. Accuracy of automatic H+N MVCTcontours ? Parotids: Visual
inspection of automatic contourskVCT contours:MVCT contours:
74. Accuracy of automatic H+N MVCTcontours ? Parotids: Visual
inspection of automatic contours - 6 patients, 150 MVCT scans, 2
physicianConclusion: The parotid contours generated by the
deformable algorithm correlate with the location of these
structures on the daily MVCT images. Submitted to ASTRO 06, Manon
et al.
78. Parotid dose during treatment course Numerical Analysis:-6
patients, 150 MVCT scansConclusion: At end of treatment: mean
parotid dose was on average 7.5 Gy higher than planned
Range:1.6-16.4 Gy Submitted to ASTRO 06, Manon et al.
79. Clinical example 73 year old Head and Neck patient: PTV
prescription: 70 Gy in 35 fractions
80. Clinical example First 17 fractions:
81. Plan vs. deformable registration DVH after 17 fractions Rt.
Lt. Parotid Parotid 15 Gy 17 Gy
82. Generate adaptive plan-Obtain new kVCT scan of patient-How
to transfer dosimetry information to new kVCT ?
83. Generate adaptive plan-Use kVCT-kVCT deformable
registration to transfer original structures to second
kVCT-Physician reviewed structures-Generate new plan Limit dose to
over-dosed parotid region
88. WHAT IF SCENARIOS.compare -Original Plan P1(35) -Plan 1
delivered for 17 fx + Plan 2 for 18 fxPlanned to deliver with
adaptive RTD1(17)+P2(18)-Actual delivery (Plan 1-17 fx and Plan
2-18 fx)D1(17)+D2(18)-without adaptive RT, Plan 1 only D1(35)
93. Conclusion Opportunities Challenges - Assess consequence-
When to adapt plan ? of deformation - How often ? - Correct
differences between delivered and- Verify accuracy of planned dose
in adaptive deformable registration Plan - Shrinking volumes ?