Purpose: Widespread implementation of automated treatment planning in radiation therapy remains elusive owing to variability in clinic and physician preferences, making it difficult to ensure consistent plan parameters. We have developed an open-source class library with the aim to improve efficiency and consistency for automated treatment planning in radiation therapy.
Methods And Materials: An open-source class library has been developed that interprets clinical templates within a commercial treatment planning system into a treatment plan for automated planning.
Purpose: Linear accelerator quality assurance (QA) in radiation therapy is a time consuming but fundamental part of ensuring the performance characteristics of radiation delivering machines. The goal of this work is to develop an automated and standardized QA plan generation and analysis system in the Oncology Information System (OIS) to streamline the QA process.
Methods: Automating the QA process includes two software components: the AutoQA Builder to generate daily, monthly, quarterly, and miscellaneous periodic linear accelerator QA plans within the Treatment Planning System (TPS) and the AutoQA Analysis to analyze images collected on the Electronic Portal Imaging Device (EPID) allowing for a rapid analysis of the acquired QA images.
The PET radiotracer Ga-PSMA (prostate-specific membrane antigen)-HBED-CC ('-bis [2-hydroxy-5-(carboxyethyl)benzyl]ethylenediamine-'-diacetic acid) shows potential as an imaging biomarker for recurrent and metastatic prostate cancer. The purpose of this study was to determine the repeatability of Ga-PSMA-HBED-CC in a test-retest trial in subjects with metastatic prostate adenocarcinoma. Subjects with metastatic prostate cancer underwent 2 PET/CT scans with Ga-PSMA-HBED-CC within 14 d (mean, 6 ± 4 d).
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