The Advanced Technology QA Core provides the following services and infrastructure: (1) development, implementation, and maintenance of an advanced medical informatics infrastructure which will facilitate: a) collection of clinical trial data from participating sites in standard communication formats, b) automated data integrity, standardization, and completeness verification, and c) long term maintenance of data in a form which will enable remote review and query by investigators involved in projects 1, 2, and 4 of this application. (2) provide a highly configurable environment for automated dose-volume analysis of radiation therapy plans. The environment will enable dose-volume analysis feedback at the point of data submission as well as retrospective data extraction including batch processing of study data. (3) collection, review and dissemination of treatment plans for assessment of treatment plan quality and robustness. (4) common workflow management environment through a secure, highly automated web-based workflow interface for individual participating sites, study investigators and ATC for facilitation of data and task handoffs and for increased compliance and efficiency in data submission and management for projects 1, 2, and 4 of this application. This project supports the mission of the NCI to improve the treatment and continuing care of cancer patients.

Public Health Relevance

This research aims to improve radiation treatment for cancer patients by improving our ability to direct the radiation at the tumor to spare adjacent normal tissue by using protons (charged particles) with intensitymodulated proton therapy. This can potentially improve cancer cure rates, reduce side effects, or both, depending on the clinical scenario. With an increasing number of proton centers in the United States and abroad, the research in this program project is increasingly important for public health.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program--Cooperative Agreements (U19)
Project #
2U19CA021239-35
Application #
8748246
Study Section
Special Emphasis Panel (ZCA1-RPRB-C (J1))
Project Start
1997-04-01
Project End
2019-08-31
Budget Start
2014-09-25
Budget End
2015-08-31
Support Year
35
Fiscal Year
2014
Total Cost
$150,554
Indirect Cost
$31,350
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199
Botas, Pablo; Grassberger, Clemens; Sharp, Gregory et al. (2018) Density overwrites of internal tumor volumes in intensity modulated proton therapy plans for mobile lung tumors. Phys Med Biol 63:035023
Guan, Fada; Geng, Changran; Ma, Duo et al. (2018) RBE Model-Based Biological Dose Optimization for Proton Radiobiology Studies. Int J Part Ther 5:160-171
Liao, Zhongxing; Simone 2nd, Charles B (2018) Particle therapy in non-small cell lung cancer. Transl Lung Cancer Res 7:141-152
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Geng, Changran; Gates, Drake; Bronk, Lawrence et al. (2018) Physical parameter optimization scheme for radiobiological studies of charged particle therapy. Phys Med 51:13-21
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
Yepes, Pablo; Adair, Antony; Grosshans, David et al. (2018) Comparison of Monte Carlo and analytical dose computations for intensity modulated proton therapy. Phys Med Biol 63:045003
Unkelbach, Jan; Paganetti, Harald (2018) Robust Proton Treatment Planning: Physical and Biological Optimization. Semin Radiat Oncol 28:88-96
Vassiliev, Oleg N; Kry, Stephen F; Grosshans, David R et al. (2018) Average stopping powers for electron and photon sources for radiobiological modeling and microdosimetric applications. Phys Med Biol 63:055007

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