Quantitative comparison of automatic and manual IMRT optimization for prostate cancer: The benefits of DVH prediction
A recent publication indicated that the patient anatomical feature (PAF) model was capable of predicting optimal objectives based on past experience. In this study, the benefits of IMRT optimization using PAF-predicted objectives as guidance for prostate were evaluated. Three different optimization methods were compared. 1) Expert Plan: Ten prostate cases (16 plans) were planned by an expert planner using conventional trial-and-error approach started with institutional modified OAR and PTV constraints. Optimization was stopped at 150 iterations and that plan was saved as Expert Plan. 2) Clinical Plan: The planner would keep working on the Expert Plan till he was satisfied with the dosimetric quality and the final plan was referred to as Clinical Plan. 3) PAF Plan: A third sets of plans for the same ten patients were generated fully automatically using predicted DVHs as guidance. The optimization was based on PAF-based predicted objectives, and was continued to 150 iterations without human interaction. D
Duke Scholars
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Related Subject Headings
- Nuclear Medicine & Medical Imaging
- 5105 Medical and biological physics
- 3208 Medical physiology
- 1116 Medical Physiology
- 1103 Clinical Sciences
- 0299 Other Physical Sciences
Citation
Published In
DOI
EISSN
Publication Date
Volume
Issue
Start / End Page
Related Subject Headings
- Nuclear Medicine & Medical Imaging
- 5105 Medical and biological physics
- 3208 Medical physiology
- 1116 Medical Physiology
- 1103 Clinical Sciences
- 0299 Other Physical Sciences