Overview of MLC-based Linac Radiosurgery

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Transcription:

SRT I: Comparison of SRT Techniques 1 Overview of MLC-based Linac Radiosurgery Grace Gwe-Ya Kim, Ph.D. DABR

2 MLC based Linac SRS Better conformity for irregular target Improved dose homogeneity inside the target Comparable dose fall-off outside the target Less time-consuming treatment planning Shorter treatment time Machine is not limited for cranial treatment

3 MLC based SRS + Frameless Patient comfort Ease of treatment / workflow Comparable positioning accuracy Hypofractionated treatments

SRS vs. SRT 4 The prescribed dose and dose fractionation in stereotactic dose delivery depend upon: Volume Location Disease M Linskey et al. J Neurosurg (Suppl 3) 2000;93:90-95

SRS vs. SRT 5 Risk factors to developing edema (Meningioma) Dose Volume Location Pre-existing edema etc. Gagnon et al., Neurosurgery, (2012), 70 (3) 639-645

SRS vs. SRT 6 C Brennan et al., IJROBP, 88 (1) 130 136, (2014) 49 patients SRS boost : Significant lower local failure Tumors 3 cm with superficial : higher risk of local failure G Minniti et al., IJROBP, 86 (4) 623 629, (2013) 101 patients > 3 cm cavities the most effective tx. option for large radioresistant brain met V24Gy : radionecrosis

Imaging 7 Metastatic MRI with Gadolinium T1 post contrast (thin slice) Small non-enhancing lesions may be seen on T2 CT Head with contrast If MRI unavailable May miss small posterior fossa lesions AVM CTA, DSA, MRA Trigeminal Neuralgia T1 post, FIESTA

TG-54 MRI contains distortions which impede direct correlation with CT data at the level required for SRS 8 TG-117 Use of MRI data in Treatment Planning and Stereotactic Procedures Spatial Accuracy and Quality Control Procedures Gradient nonlinearity distortion, Siebert et al, ASTRO 2014 B Zhang et al., Phys. Med. Biol. 55 (2010) 6601-6615

IMRS vs. VMAT 9 JZ Wang et al, Medical Dosimetry 37 (2012) 31-36

MLC leaf width 10 54 patients, DCA & IMRT techniques No significant diff. 3 mm vs. 5 mm Narrow leaf: Sparing small OARs 43 patients, DCA technique <1.1 cm 3 : aver. CI diff. 11% Jian-Yue Jin et al., Med. Physics, 32, 405 (2005) Annes Dhabaan et al., JACMP, Vol. 11, No.3 (2010)

Plan optimization 11 Constraints Normal Tissue Objective Tuning Structures MU constraint Target structure resolution Calc. grid size

Constraints 12 TG-101 Serial Tissue Max vol. (cc) One fraction Three fraction Five fraction Threshold dose (Gy) Max point dose (Gy) Threshold dose (Gy) Max point dose (Gy) Threshold dose (Gy) Max point dose (Gy) End point Optic pathway <0.2 8 10 15.3 17.4 23 23 Neuritis Cochlea 9 17.1 25 Hearing loss Brainstem (not medulla) <0.5 10 15 18 23.1 23 31 Cranial neuropathy Spinal cord and medulla <0.35 <1.2 10 7 14 18 12.3 21.9 23 14.5 30 Myelitis Lens Max. dose <10 Gy (1 fx) Normal Brain V10 < 12 cc or V12 < 10 cc Cranial Nerves (fifth, seventh and eighth CN)12.5-15 Gy (Flicker et al., IJROBP 2004)

Normal brain dose 13 V10 and V12 volumes greater than 4.5-7.7 and 6.0-10.9 cc carry >10% risk of symptomatic radiation necrosis, respectively G Minniti et al, Radiation Oncology 2011, 6:48

Multi-metastases 14 M Yamamoto et al., Lancet Oncol, March 10, 2014 L Ma et al., Int. J CARS, 20 April 2014 L Cozzi et al., Rad Onc., 9:118 2014

Tuning Structures 15 Individual target(s) (not the composite PTV_total): lower = 100% of the target to receive 102% of prescription, no upper constraint Inner control max dose = 98% of prescription dose Middle control max dose = 50% of prescription Outer control max dose = 40% of prescription (15 patients with 1-5 targets) G. Clark et al., Practical Radiation Oncology (2012) 2, 306 313

16 Plan optimization MU Field Arc 1 Arc 2 Arc 3 Plan A 4116 2105 2105 Plan B 3488 (18% ) 1794 (17% ) 1794 (17% )

17 Surface Imaging System Stereo photogrammetry 3 cameras & visible light projector Reference image Contours from DICOMRT Previous captured image Registration algorithm Minimize distance between reference image & real-time surface Rotations & translations

Clinical Work Flow 18 Patient Simulation CT Simulation Create mask & head cushion Plan and isocenter Planning Create body contour Surface image registration Importing plan & body str. Select ROI Initial setup Manual head adjuster Start from bridge of nose Capturing new-reference Image CBCT image registration Capture new reference Monitoring Treatment Adjust if needed

Patient Setup 19

20 Capture New Reference kv/kv match to check for rotations (e.g., pitch) CBCT-indicated shifts are used to put patient in their final Tx position New reference image is captured with AlignRT (zero offsets) Monitor patient s position during treatment Discontinue treatment and reposition if offsets exceed ~1 mm Couch angle changed in AlignRT for beams utilizing couch rotations

21 Quality Assurance Daily QA Cal. verification Monthly QA Camera calibation Isocenter Cal. Allows AlignRT isocenter to be calibrated to MV isocenter

22 44 patients Clinical Results 115 intracranial metastatic lesions Median follow-up of 4.7 months 1 year actuarial local control rate was 84% 95% confidence interval: 69-99% Pan et al., Neurosurgery, pp. 844-852, October 2012

23 Clinical Results Comparison of local control & survival for retrospective studies of brain metastases treated with radiosurgery Treatment System Pts (n) Actuarial 1y LC* (%) Actuarial 1y Survival (%) Frame-based linac 80 89 33 Frame-based Gamma Knife 205 71 37 Frameless linac 53 80 44 Frameless linac 65 76 40 Frameless, surface-imaging guided linac *LC: local control; -: not reported; estimated from Kaplan-Meier curve 44 84 37

24 Acknowledgements Todd Pawlicki, PhD Mariel Conell, CMD Jane Uhl, CMD Ryan Manger, PhD Kevin Murphy, MD Jona Hattangadi, MD Parag Sanghvi, MD Clark Chen MD PhD