Automated contouring and statistical process control for plan quality in a breast clinical trial.

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Title: Automated contouring and statistical process control for plan quality in a breast clinical trial.
Authors: Baroudi H; The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, USA.; Department of Radiation Physics, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Huy Minh Nguyen CI; Department of Radiation Physics, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Maroongroge S; Department of Radiation Oncology, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Smith BD; Department of Breast Radiation Oncology, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Niedzielski JS; Department of Radiation Physics, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Shaitelman SF; Department of Breast Radiation Oncology, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Melancon A; Department of Radiation Physics, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Shete S; The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, USA., Whitaker TJ; Department of Radiation Physics, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Mitchell MP; Department of Breast Radiation Oncology, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Yvonne Arzu I; Department of Breast Radiation Oncology, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Duryea J; Department of Radiation Physics, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Hernandez S; The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, USA.; Department of Radiation Physics, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., El Basha D; The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, USA.; Department of Radiation Physics, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Mumme R; Department of Radiation Physics, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Netherton T; Department of Radiation Physics, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Hoffman K; Department of Breast Radiation Oncology, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Court L; The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, USA.; Department of Radiation Physics, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Source: Physics and imaging in radiation oncology [Phys Imaging Radiat Oncol] 2023 Aug 23; Vol. 28, pp. 100486. Date of Electronic Publication: 2023 Aug 23 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier B.V Country of Publication: Netherlands NLM ID: 101704276 Publication Model: eCollection Cited Medium: Internet ISSN: 2405-6316 (Electronic) Linking ISSN: 24056316 NLM ISO Abbreviation: Phys Imaging Radiat Oncol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2405-6316
DOI:10.1016/j.phro.2023.100486