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Models for breathing trajectory variations Gregory C. Sharp Massachusetts General Hospital Feb 19, 2010 MASSACHUSETTS GENERAL HOSPITAL RADIATION ONCOLOGY

Models for breathing trajectory variations

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MASSACHUSETTS GENERAL HOSPITAL. RADIATION ONCOLOGY. Models for breathing trajectory variations. Gregory C. Sharp Massachusetts General Hospital Feb 19, 2010. Problem statement. How should we incorporate breathing trajectory variations into 4-D planning ?. Problem statement. - PowerPoint PPT Presentation

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Models for breathing trajectory variations

Models for breathingtrajectory variationsGregory C. SharpMassachusetts General HospitalFeb 19, 2010

MASSACHUSETTSGENERAL HOSPITALRADIATION ONCOLOGY

1Problem statementHow should we incorporate breathing trajectory variations into 4-D planning ?

2Problem statementPrimary trajectory is volumetric4D-CTTrajectory variations are non-volumetricImplanted fiducialsRadiography and fluoroscopyElectromagnetic transpondersPopulation statistics

3OutlineDosimetry modelMotion modelPopulation model

4Dosimetry modelProblem statement:How to compute dose to a moving target if we dont have a CT?

5Dosimetry modelAnswer: Geometric dose modelDose is fixed in spaceTarget moves within dose cloud

6Dosimetry model

7Dosimetry model

8Dosimetry model

9Dosimetry modelGeometric dose model doesnt work for protons

10Dosimetry modelBecause of range effects

11

Dosimetry modelModified geometric dose modelUse radiological depth instead of position

12Dosimetry modelRadiological depth of anatomic points are assumed constant

13Dosimetry modelModified geometric modelTreat each beam separatelyProject 3D trajectory to 2DCould be used for photons as well

14Motion modelPrimary trajectory: from 4D-CT

15Motion modelTrajectory variations: position change / time

16Either change in exhale position, or change in COM positionNote: no change in motion amplitudeMotion modelMotion model = primary + variations

17Motion modelVariations have a probability distribution

18Motion modelIntegration over known variation curve yields specific histogram of displacements

19Motion model

20Motion model

21Motion modelTrajectory variation histogram is applied to each phase separately

22Motion model

23Motion modelCaveats:No interplay effect (beams delivered in sequence)Amplitude variations neglected

24Population modelData sourcesHokkaido RTRTIRIS radiographicIRIS fluoro burstSBRT CBCT (pre/post)

25Population model (1/4)Hokkaido RTRT~20 lung cancer patientsHypofractionated (early stage)Orthogonal stereo fluoroscopyGated treatmentMixed motion amplitudes (up to 30 mm)

26Population model (1/4)

27Population model (1/4)

28Population model (1/4)

29Population model (1/4)

* Take with a grain of saltDrift Magnitude

30Population model (2/4)IRIS Radiographs10 lung cancer patientsStandard fractionation (esp. stage III)Orthogonal gated radiographs (exhale)Gated RTLarge motion amplitudes (> 10 mm motion)

31

Maximum of Diaphragm

Vertebral landmarkLateral View

32

33Population model (2/4)This study Median s = 0.55 cmYorke (JACMP 2005) m = 0.63 cm Mean s = 0.42 cm

34

35Population model (2/4)

* Take with a grain of saltDrift Magnitude

36Population model (3/4)IRIS Fluoro4 liver cancer patientsOrthogonal fluoroscopyGated RTLarge motion amplitudes (> 10 mm)

37

38

Clip 1Clip 2Clip 3RPM

39

SI = 5 mmAP = 2 mmLR = 2 mm90 secs20 secs80 secs4 minutesCLIP #2: Exhale baseline drift

40Population model (3/4)

* Take with a grain of saltDrift Magnitude

41Population model (4/4)SBRT CBCT~15 lung cancer patientsHypofractionated (early stage)Pre-tx and post-tx CBCTSBRTMixed motion amplitudes (range unknown)

42Population model

* Take with a grain of saltDrift Magnitude

43SummaryDosimetry modelGeometric modelModified geometric modelMotion modelMotion = primary + variationsMotion variations map to dose variationPopulation modelWIP

44END OF SLIDE SHOW45Motion modelDosimetry can be either probabilistic or deterministic

+

46Chart24.29353.56495.19185.49584.36184.36215.64755.2559.54973.84018.7447.08325.90016.47886.16337.06215.1625.42747.28746.9631

APLateralPatient NumberStandard Deviation (mm)Standard Deviation Graph

Sheet1Patient#StandardDeviation AP14.29353.564925.19185.495834.36184.362145.64755.25559.54973.840168.7447.083275.90016.478886.16337.062195.1625.4274107.28746.9631

Sheet100000000000000000000

APLateralPatient NumberStandard Deviation (mm)Standard Deviation Graph

Sheet2

Sheet3

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updatedmatrixone0000000000000000000000000000000000000000000000000000000000000000000000000000000000

Chart1-24.404669-26.645914-25.649805-27.642023-21.416342-27.642023-21.167315-22.412451-27.143969-32.622568-28.88716-33.36965-27.143969-29.634241-23.657588-29.634241-28.88716-21.66537-29.385214-17.431907-20.171206-29.634241-29.385214-23.906615-27.891051-23.906615-24.155642-24.155642-28.389105-31.626459-25.151751-27.392996-27.143969-31.377432-30.63035-23.40856-23.657588-26.894942-25.151751-34.863813-34.116732-35.11284-24.404669-30.63035-20.918288-17.431907-23.159533-29.385214-26.14786-27.642023-30.879377-31.875486-31.875486-24.155642-26.645914-29.634241-28.88716-31.128405-32.373541-26.645914-27.143969-27.642023-16.18677-17.680934-27.143969-27.642023-24.404669-30.63035-28.638132-26.645914-27.891051-23.906615-16.933852-19.424125-32.622568-32.124514-28.389105-31.128405-27.143969-25.898833

Day of TreatmentDisplacement Between Diaphragm and Bone (mm)Patient 1, AP View

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