Quantitative comparison of automatic and manual IMRT optimization for prostate cancer: the benefits of DVH prediction.

ABSTRACT: 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

SUBMITTER: Yang Y 

PROVIDER: S-EPMC5690098 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature