Lindsey M Appenzoller

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PURPOSE The objective of this work was to develop a quality control (QC) tool to reduce intensity modulated radiotherapy (IMRT) planning variability and improve treatment plan quality using mathematical models that predict achievable organ-at-risk (OAR) dose-volume histograms (DVHs) based on individual patient anatomy. METHODS A mathematical framework to(More)
PURPOSE The goal of this work was to develop an efficient DICOM-based tool to create predictive DVH (pDVH) models for treatment plan automation and knowledge-based IMRT quality control (QC) independent of treatment planning system (TPS). METHODS The tool was implemented in MATLAB. RT dose and structure files exported from different TPSs including Eclipse,(More)
PURPOSE The purpose of this work was to investigate the impact of a predictive DVH (pDVH) model developed at one institution on IMRT plan quality control (QC) at an unrelated radiotherapy facility. METHODS DICOM-RT datasets for twenty randomly selected intact prostate cancer patients treated at a small clinic were analyzed with knowledge based pDVH models(More)
PURPOSE The goals are to develop a computer system that performs an automatic and comprehensive plan quality check (QC) according to institutional guidelines, QUANTEC, and RTOG standards, and to standardize and streamline the evaluation, approval, and review of radiotherapy treatment plans. METHODS A computer software program (and backend database) was(More)
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