The overall goal of this project is to improve the proton therapy dose distributions that can confidently be delivered. The improvements are expected to be threefold: (1) the use with confidence of tighter margins around the target volume, thus reducing normal tissue complications, (2) reduced uncertainty in treatment planning and delivery through techniques such as image-guided interventions and robust optimization, and (3) confidence that the dose distribution which is delivered agrees, within explicit bounds, with what was planned. While proton therapy has been practiced for several decades with success, there remain a number of uncertainties and limitations that can compromise the benefit of protons, either by requiring undesirably large margins around the clinical target volume (with concomitant over irradiation of normal tissues) or by preventing the use of protons or limiting their optimal application in some important sites (e.g., lung). The hypothesis of this project is that improved accuracy in treatment planning and delivery methods and the application of intensity-modulated proton therapy (IMPT) and optimization techniques will lead to reductions in margins and in the difference between planned and delivered dose distributions;also that these reductions will be by a factor of at least 2 compared with the current values. To test this hypothesis, we will (1) quantify the impact of current uncertainties and the gains made possible with strategies to reduce uncertainties, (2) evaluate the potential of IMPT and optimization techniques for reducing margins and mitigating the impact of uncertainties, and (3) quantify the confidence limits on the planned dose distributions and verify that the differences between planned and delivered dose distributions are within confidence limits. The significance of the proposed research is that it should lead to reductions in margins, greater sparing of normal tissues, and greater potential for dose intensification. Additionally, it should lead to greater confidence that the planned and delivered proton therapy dose distributions are very nearly the same. The significance is further heightened by the need to minimize the possibility of suboptimal application of this very powerful modality whose use is rapidly proliferating around the world.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
5P01CA021239-30
Application #
7907792
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2009-08-01
Budget End
2010-07-31
Support Year
30
Fiscal Year
2009
Total Cost
$406,338
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199
Pulsifer, Margaret B; Duncanson, Haley; Grieco, Julie et al. (2018) Cognitive and Adaptive Outcomes After Proton Radiation for Pediatric Patients With Brain Tumors. Int J Radiat Oncol Biol Phys 102:391-398
Liao, Zhongxing; Lee, J Jack; Komaki, Ritsuko et al. (2018) Bayesian Adaptive Randomization Trial of Passive Scattering Proton Therapy and Intensity-Modulated Photon Radiotherapy for Locally Advanced Non-Small-Cell Lung Cancer. J Clin Oncol 36:1813-1822
Jeter, Melenda D; Gomez, Daniel; Nguyen, Quynh-Nhu et al. (2018) Simultaneous Integrated Boost for Radiation Dose Escalation to the Gross Tumor Volume With Intensity Modulated (Photon) Radiation Therapy or Intensity Modulated Proton Therapy and Concurrent Chemotherapy for Stage II to III Non-Small Cell Lung Cancer: A P Int J Radiat Oncol Biol Phys 100:730-737
Frank, Steven J; Blanchard, Pierre; Lee, J Jack et al. (2018) Comparing Intensity-Modulated Proton Therapy With Intensity-Modulated Photon Therapy for Oropharyngeal Cancer: The Journey From Clinical Trial Concept to Activation. Semin Radiat Oncol 28:108-113
Lin, Yu-Fen; Chen, Benjamin P; Li, Wende et al. (2018) The Relative Biological Effect of Spread-Out Bragg Peak Protons in Sensitive and Resistant Tumor Cells. Int J Part Ther 4:33-39
Ning, Matthew S; Tang, Linglong; Gomez, Daniel R et al. (2017) Incidence and Predictors of Pericardial Effusion After Chemoradiation Therapy for Locally Advanced Non-Small Cell Lung Cancer. Int J Radiat Oncol Biol Phys 99:70-79
Chang, Joe Y; Zhang, Wencheng; Komaki, Ritsuko et al. (2017) Long-term outcome of phase I/II prospective study of dose-escalated proton therapy for early-stage non-small cell lung cancer. Radiother Oncol 122:274-280
Sanford, Nina N; Yeap, Beow Y; Larvie, Mykol et al. (2017) Prospective, Randomized Study of Radiation Dose Escalation With Combined Proton-Photon Therapy for Benign Meningiomas. Int J Radiat Oncol Biol Phys 99:787-796
Taylor, Paige A; Kry, Stephen F; Followill, David S (2017) Pencil Beam Algorithms Are Unsuitable for Proton Dose Calculations in Lung. Int J Radiat Oncol Biol Phys 99:750-756
Giantsoudi, Drosoula; Sethi, Roshan V; Yeap, Beow Y et al. (2016) Incidence of CNS Injury for a Cohort of 111 Patients Treated With Proton Therapy for Medulloblastoma: LET and RBE Associations for Areas of Injury. Int J Radiat Oncol Biol Phys 95:287-96

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