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Application of repeat image analysis to radiation therapy imaging modalities as a quality improvement tool for image guided radiotherapy

BACKGROUND: Repeat images contribute to excess patient dose and workflow inefficiencies and can be analyzed to identify potential areas for improvement within a program. Although routinely used in diagnostic imaging, repeat image analysis is not widely used in radiation therapy imaging, despite the...

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Autores principales: Chee, Daniella, Buckley, Lesley
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476973/
https://www.ncbi.nlm.nih.gov/pubmed/37143316
http://dx.doi.org/10.1002/acm2.14019
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author Chee, Daniella
Buckley, Lesley
author_facet Chee, Daniella
Buckley, Lesley
author_sort Chee, Daniella
collection PubMed
description BACKGROUND: Repeat images contribute to excess patient dose and workflow inefficiencies and can be analyzed to identify potential areas for improvement within a program. Although routinely used in diagnostic imaging, repeat image analysis is not widely used in radiation therapy imaging, despite the role of imaging in the delivery of precise radiation treatments. PURPOSE: Repeat image analysis was performed for on‐board cone beam CT imagers and CT simulators within a radiation therapy department. Both the rate of repeat images and the reasons for the repeat images were analyzed. METHODS: Data from nine conventional linear accelerators and three CT simulators were analyzed retrospectively over a 5‐month period. Repeated images that were not part of the standard of care were considered repeat images. The repeat rate was expressed as the number of repeat scans as percentage of the total number of scans performed. The reasons for the repeats were collected and classified as either patient preparation, patient setup, patient motion, or machine error. These reasons were further classified into sub‐categories. RESULTS: The overall repeat rate across the linear accelerators was 3.3%, with a maximum of 5% on any single machine. The repeat rate for the three CT simulators was 1.5%. The most common reasons for repeat images were patient preparation (incorrect bladder or rectal filling) and patient setup or positioning. Greater positioning challenges led to higher repeat rates on units that treat a large number of breast patients, palliative patients, or pediatric patients. CONCLUSIONS: Repeat image analysis can be applied within a radiation therapy department. Establishing baseline repeat rates and analyzing reasons for the repeat images can identify opportunities for improvements in terms of patient dose reduction and workflow efficiency for the program. Periodic repeat image analysis also permits monitoring the program for changes and for comparison against rates at other institutions.
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spelling pubmed-104769732023-09-05 Application of repeat image analysis to radiation therapy imaging modalities as a quality improvement tool for image guided radiotherapy Chee, Daniella Buckley, Lesley J Appl Clin Med Phys Radiation Oncology Physics BACKGROUND: Repeat images contribute to excess patient dose and workflow inefficiencies and can be analyzed to identify potential areas for improvement within a program. Although routinely used in diagnostic imaging, repeat image analysis is not widely used in radiation therapy imaging, despite the role of imaging in the delivery of precise radiation treatments. PURPOSE: Repeat image analysis was performed for on‐board cone beam CT imagers and CT simulators within a radiation therapy department. Both the rate of repeat images and the reasons for the repeat images were analyzed. METHODS: Data from nine conventional linear accelerators and three CT simulators were analyzed retrospectively over a 5‐month period. Repeated images that were not part of the standard of care were considered repeat images. The repeat rate was expressed as the number of repeat scans as percentage of the total number of scans performed. The reasons for the repeats were collected and classified as either patient preparation, patient setup, patient motion, or machine error. These reasons were further classified into sub‐categories. RESULTS: The overall repeat rate across the linear accelerators was 3.3%, with a maximum of 5% on any single machine. The repeat rate for the three CT simulators was 1.5%. The most common reasons for repeat images were patient preparation (incorrect bladder or rectal filling) and patient setup or positioning. Greater positioning challenges led to higher repeat rates on units that treat a large number of breast patients, palliative patients, or pediatric patients. CONCLUSIONS: Repeat image analysis can be applied within a radiation therapy department. Establishing baseline repeat rates and analyzing reasons for the repeat images can identify opportunities for improvements in terms of patient dose reduction and workflow efficiency for the program. Periodic repeat image analysis also permits monitoring the program for changes and for comparison against rates at other institutions. John Wiley and Sons Inc. 2023-05-04 /pmc/articles/PMC10476973/ /pubmed/37143316 http://dx.doi.org/10.1002/acm2.14019 Text en © 2023 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Radiation Oncology Physics
Chee, Daniella
Buckley, Lesley
Application of repeat image analysis to radiation therapy imaging modalities as a quality improvement tool for image guided radiotherapy
title Application of repeat image analysis to radiation therapy imaging modalities as a quality improvement tool for image guided radiotherapy
title_full Application of repeat image analysis to radiation therapy imaging modalities as a quality improvement tool for image guided radiotherapy
title_fullStr Application of repeat image analysis to radiation therapy imaging modalities as a quality improvement tool for image guided radiotherapy
title_full_unstemmed Application of repeat image analysis to radiation therapy imaging modalities as a quality improvement tool for image guided radiotherapy
title_short Application of repeat image analysis to radiation therapy imaging modalities as a quality improvement tool for image guided radiotherapy
title_sort application of repeat image analysis to radiation therapy imaging modalities as a quality improvement tool for image guided radiotherapy
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10476973/
https://www.ncbi.nlm.nih.gov/pubmed/37143316
http://dx.doi.org/10.1002/acm2.14019
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