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Quality assurance for on‐table adaptive magnetic resonance guided radiation therapy: A software tool to complement secondary dose calculation and failure modes discovered in clinical routine

Online adaption of treatment plans on a magnetic resonance (MR)‐Linac enables the daily creation of new (adapted) treatment plans using current anatomical information of the patient as seen on MR images. Plan quality assurance (QA) relies on a secondary dose calculation (SDC) that is required becaus...

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Autores principales: Rippke, Carolin, Schrenk, Oliver, Renkamp, C. Katharina, Buchele, Carolin, Hörner‐Rieber, Juliane, Debus, Jürgen, Alber, Markus, Klüter, Sebastian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8906229/
https://www.ncbi.nlm.nih.gov/pubmed/35019212
http://dx.doi.org/10.1002/acm2.13523
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author Rippke, Carolin
Schrenk, Oliver
Renkamp, C. Katharina
Buchele, Carolin
Hörner‐Rieber, Juliane
Debus, Jürgen
Alber, Markus
Klüter, Sebastian
author_facet Rippke, Carolin
Schrenk, Oliver
Renkamp, C. Katharina
Buchele, Carolin
Hörner‐Rieber, Juliane
Debus, Jürgen
Alber, Markus
Klüter, Sebastian
author_sort Rippke, Carolin
collection PubMed
description Online adaption of treatment plans on a magnetic resonance (MR)‐Linac enables the daily creation of new (adapted) treatment plans using current anatomical information of the patient as seen on MR images. Plan quality assurance (QA) relies on a secondary dose calculation (SDC) that is required because a pretreatment measurement is impossible during the adaptive workflow. However, failure mode and effect analysis of the adaptive planning process shows a large number of error sources, and not all of them are covered by SDC. As the complex multidisciplinary adaption process takes place under time pressure, additional software solutions for pretreatment per‐fraction QA need to be used. It is essential to double‐check SDC input to ensure a safe treatment delivery. Here, we present an automated treatment plan check tool for adaptive radiotherapy (APART) at a 0.35 T MR‐Linac. It is designed to complement the manufacturer‐provided adaptive QA tool comprising SDC. Checks performed by APART include contour analysis, electron density map examinations, and fluence modulation complexity controls. For nine of 362 adapted fractions (2.5%), irregularities regarding missing slices in target volumes and organs at risks as well as in margin expansion of target volumes have been found. This demonstrates that mistakes occur and can be detected by additional QA measures, especially contour analysis. Therefore, it is recommended to implement further QA tools additional to what the manufacturer provides to facilitate an informed decision about the quality of the treatment plan.
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spelling pubmed-89062292022-03-10 Quality assurance for on‐table adaptive magnetic resonance guided radiation therapy: A software tool to complement secondary dose calculation and failure modes discovered in clinical routine Rippke, Carolin Schrenk, Oliver Renkamp, C. Katharina Buchele, Carolin Hörner‐Rieber, Juliane Debus, Jürgen Alber, Markus Klüter, Sebastian J Appl Clin Med Phys Radiation Oncology Physics Online adaption of treatment plans on a magnetic resonance (MR)‐Linac enables the daily creation of new (adapted) treatment plans using current anatomical information of the patient as seen on MR images. Plan quality assurance (QA) relies on a secondary dose calculation (SDC) that is required because a pretreatment measurement is impossible during the adaptive workflow. However, failure mode and effect analysis of the adaptive planning process shows a large number of error sources, and not all of them are covered by SDC. As the complex multidisciplinary adaption process takes place under time pressure, additional software solutions for pretreatment per‐fraction QA need to be used. It is essential to double‐check SDC input to ensure a safe treatment delivery. Here, we present an automated treatment plan check tool for adaptive radiotherapy (APART) at a 0.35 T MR‐Linac. It is designed to complement the manufacturer‐provided adaptive QA tool comprising SDC. Checks performed by APART include contour analysis, electron density map examinations, and fluence modulation complexity controls. For nine of 362 adapted fractions (2.5%), irregularities regarding missing slices in target volumes and organs at risks as well as in margin expansion of target volumes have been found. This demonstrates that mistakes occur and can be detected by additional QA measures, especially contour analysis. Therefore, it is recommended to implement further QA tools additional to what the manufacturer provides to facilitate an informed decision about the quality of the treatment plan. John Wiley and Sons Inc. 2022-01-12 /pmc/articles/PMC8906229/ /pubmed/35019212 http://dx.doi.org/10.1002/acm2.13523 Text en © 2022 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
Rippke, Carolin
Schrenk, Oliver
Renkamp, C. Katharina
Buchele, Carolin
Hörner‐Rieber, Juliane
Debus, Jürgen
Alber, Markus
Klüter, Sebastian
Quality assurance for on‐table adaptive magnetic resonance guided radiation therapy: A software tool to complement secondary dose calculation and failure modes discovered in clinical routine
title Quality assurance for on‐table adaptive magnetic resonance guided radiation therapy: A software tool to complement secondary dose calculation and failure modes discovered in clinical routine
title_full Quality assurance for on‐table adaptive magnetic resonance guided radiation therapy: A software tool to complement secondary dose calculation and failure modes discovered in clinical routine
title_fullStr Quality assurance for on‐table adaptive magnetic resonance guided radiation therapy: A software tool to complement secondary dose calculation and failure modes discovered in clinical routine
title_full_unstemmed Quality assurance for on‐table adaptive magnetic resonance guided radiation therapy: A software tool to complement secondary dose calculation and failure modes discovered in clinical routine
title_short Quality assurance for on‐table adaptive magnetic resonance guided radiation therapy: A software tool to complement secondary dose calculation and failure modes discovered in clinical routine
title_sort quality assurance for on‐table adaptive magnetic resonance guided radiation therapy: a software tool to complement secondary dose calculation and failure modes discovered in clinical routine
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8906229/
https://www.ncbi.nlm.nih.gov/pubmed/35019212
http://dx.doi.org/10.1002/acm2.13523
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