Abstract
a replan_100% pDVH model. An institutional metric for plan quality (V40) was used to quantify clinical gains in rectum, bladder, and sigmoid. All pDVH models were compared to the replan sample using dV40 Z V40(replan) V40(pred) to assess clinical significance and mean SR to quantify DVH prediction accuracy. Results: As shown in the Table, the average reduction in V40 between the clinical plan and the replan demonstrates large clinical improvements. The raw pDVH models underestimated achievable V40 compared to the more accurate replan_100% and replan_25% pDVH models which demonstrated statistically identical dV40 predictions across all organs. Comparable SR values between replan_25% and replan_100% exhibit equivalent model performance. Conclusions: The results of this study validate an efficient method to obtain accurate predictions of near-optimal OAR DVHs when large plan quality variations are present in the training sample. Author Disclosure: L. Appenzoller: E. Research Grant; Varian Master Research Agreement. O. Patent/License Fee/Copyright; Developing Predictive Dose-Volume Relationships for a Radiation therapy Treatment. J. Tan: None. D. Yang: E. Research Grant; Varian Master Research Agreement. P.W. Grigsby: E. Research Grant; Varian Master Research Agreement. J.K. Schwarz: None. S. Mutic: O. Patent/License Fee/Copyright; Developing Predictive Dose-Volume Relationships for a Radiation therapy Treatment. K.L. Moore: O. Patent/License Fee/Copyright; Developing Predictive Dose-Volume Relationships for a Radiation therapy Treatment.
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