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Performance of a knowledge‐based planning model for optimizing intensity‐modulated radiotherapy plans for partial breast irradiation

PURPOSE: To evaluate a knowledge‐based (KB) planning model for RapidPlan, generated using a five‐field intensity‐modulated radiotherapy (IMRT) class solution beam strategy and rigorous dosimetric constraints for accelerated partial breast irradiation (APBI). MATERIALS AND METHODS: The RapidPlan mode...

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Autores principales: Frederick, Amy, Roumeliotis, Michael, Grendarova, Petra, Quirk, Sarah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8906226/
https://www.ncbi.nlm.nih.gov/pubmed/34936195
http://dx.doi.org/10.1002/acm2.13506
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author Frederick, Amy
Roumeliotis, Michael
Grendarova, Petra
Quirk, Sarah
author_facet Frederick, Amy
Roumeliotis, Michael
Grendarova, Petra
Quirk, Sarah
author_sort Frederick, Amy
collection PubMed
description PURPOSE: To evaluate a knowledge‐based (KB) planning model for RapidPlan, generated using a five‐field intensity‐modulated radiotherapy (IMRT) class solution beam strategy and rigorous dosimetric constraints for accelerated partial breast irradiation (APBI). MATERIALS AND METHODS: The RapidPlan model was configured using 64 APBI treatment plans and validated for 120 APBI patients who were not included in the training dataset. KB plan dosimetry was compared to clinical plan dosimetry, the clinical planning constraints, and the constraints used in phase III APBI trials. Dosimetric differences between clinical and KB plans were evaluated using paired two‐tailed Wilcoxon signed‐rank tests. RESULTS: KB planning was able to produce IMRT‐based APBI plans in a single optimization without manual intervention that are comparable or better than the conventionally optimized, clinical plans. Comparing KB plans to clinical plans, differences in PTV, heart, contralateral breast, and ipsilateral lung dose–volume metrics were not clinically significant. The ipsilateral breast volume receiving at least 50% of the prescription dose was statistically and clinically significantly lower in the KB plans. CONCLUSION: KB planning for IMRT‐based APBI provides equivalent or better dosimetry compared to conventional inverse planning. This model may be reliably applied in clinical practice and could be used to transfer planning expertise to ensure consistency in APBI plan quality.
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spelling pubmed-89062262022-03-10 Performance of a knowledge‐based planning model for optimizing intensity‐modulated radiotherapy plans for partial breast irradiation Frederick, Amy Roumeliotis, Michael Grendarova, Petra Quirk, Sarah J Appl Clin Med Phys Technical Notes PURPOSE: To evaluate a knowledge‐based (KB) planning model for RapidPlan, generated using a five‐field intensity‐modulated radiotherapy (IMRT) class solution beam strategy and rigorous dosimetric constraints for accelerated partial breast irradiation (APBI). MATERIALS AND METHODS: The RapidPlan model was configured using 64 APBI treatment plans and validated for 120 APBI patients who were not included in the training dataset. KB plan dosimetry was compared to clinical plan dosimetry, the clinical planning constraints, and the constraints used in phase III APBI trials. Dosimetric differences between clinical and KB plans were evaluated using paired two‐tailed Wilcoxon signed‐rank tests. RESULTS: KB planning was able to produce IMRT‐based APBI plans in a single optimization without manual intervention that are comparable or better than the conventionally optimized, clinical plans. Comparing KB plans to clinical plans, differences in PTV, heart, contralateral breast, and ipsilateral lung dose–volume metrics were not clinically significant. The ipsilateral breast volume receiving at least 50% of the prescription dose was statistically and clinically significantly lower in the KB plans. CONCLUSION: KB planning for IMRT‐based APBI provides equivalent or better dosimetry compared to conventional inverse planning. This model may be reliably applied in clinical practice and could be used to transfer planning expertise to ensure consistency in APBI plan quality. John Wiley and Sons Inc. 2021-12-22 /pmc/articles/PMC8906226/ /pubmed/34936195 http://dx.doi.org/10.1002/acm2.13506 Text en © 2021 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 Technical Notes
Frederick, Amy
Roumeliotis, Michael
Grendarova, Petra
Quirk, Sarah
Performance of a knowledge‐based planning model for optimizing intensity‐modulated radiotherapy plans for partial breast irradiation
title Performance of a knowledge‐based planning model for optimizing intensity‐modulated radiotherapy plans for partial breast irradiation
title_full Performance of a knowledge‐based planning model for optimizing intensity‐modulated radiotherapy plans for partial breast irradiation
title_fullStr Performance of a knowledge‐based planning model for optimizing intensity‐modulated radiotherapy plans for partial breast irradiation
title_full_unstemmed Performance of a knowledge‐based planning model for optimizing intensity‐modulated radiotherapy plans for partial breast irradiation
title_short Performance of a knowledge‐based planning model for optimizing intensity‐modulated radiotherapy plans for partial breast irradiation
title_sort performance of a knowledge‐based planning model for optimizing intensity‐modulated radiotherapy plans for partial breast irradiation
topic Technical Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8906226/
https://www.ncbi.nlm.nih.gov/pubmed/34936195
http://dx.doi.org/10.1002/acm2.13506
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