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Intensity modulated proton arc therapy via geometry‐based energy selection for ependymoma

PURPOSE: We developed and tested a novel method of creating intensity modulated proton arc therapy (IMPAT) plans that uses computing resources similar to those for regular intensity‐modulated proton therapy (IMPT) plans and may offer a dosimetric benefit for patients with ependymoma or similar tumor...

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Autores principales: Cao, Wenhua, Li, Yupeng, Zhang, Xiaodong, Poenisch, Falk, Yepes, Pablo, Sahoo, Narayan, Grosshans, David, McGovern, Susan, Gunn, G. Brandon, Frank, Steven J., Zhu, Xiaorong R.
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/PMC10338743/
https://www.ncbi.nlm.nih.gov/pubmed/36913484
http://dx.doi.org/10.1002/acm2.13954
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author Cao, Wenhua
Li, Yupeng
Zhang, Xiaodong
Poenisch, Falk
Yepes, Pablo
Sahoo, Narayan
Grosshans, David
McGovern, Susan
Gunn, G. Brandon
Frank, Steven J.
Zhu, Xiaorong R.
author_facet Cao, Wenhua
Li, Yupeng
Zhang, Xiaodong
Poenisch, Falk
Yepes, Pablo
Sahoo, Narayan
Grosshans, David
McGovern, Susan
Gunn, G. Brandon
Frank, Steven J.
Zhu, Xiaorong R.
author_sort Cao, Wenhua
collection PubMed
description PURPOSE: We developed and tested a novel method of creating intensity modulated proton arc therapy (IMPAT) plans that uses computing resources similar to those for regular intensity‐modulated proton therapy (IMPT) plans and may offer a dosimetric benefit for patients with ependymoma or similar tumor geometries. METHODS: Our IMPAT planning method consists of a geometry‐based energy selection step with major scanning spot contributions as inputs computed using ray‐tracing and single‐Gaussian approximation of lateral spot profiles. Based on the geometric relation of scanning spots and dose voxels, our energy selection module selects a minimum set of energy layers at each gantry angle such that each target voxel is covered by sufficient scanning spots as specified by the planner, with dose contributions above the specified threshold. Finally, IMPAT plans are generated by robustly optimizing scanning spots of the selected energy layers using a commercial proton treatment planning system (TPS). The IMPAT plan quality was assessed for four ependymoma patients. Reference three‐field IMPT plans were created with similar planning objective functions and compared with the IMPAT plans. RESULTS: In all plans, the prescribed dose covered 95% of the clinical target volume (CTV) while maintaining similar maximum doses for the brainstem. While IMPAT and IMPT achieved comparable plan robustness, the IMPAT plans achieved better homogeneity and conformity than the IMPT plans. The IMPAT plans also exhibited higher relative biological effectiveness (RBE) enhancement than did the corresponding reference IMPT plans for the CTV in all four patients and brainstem in three of them. CONCLUSIONS: The proposed method demonstrated potential as an efficient technique for IMPAT planning and may offer a dosimetric benefit for patients with ependymoma or tumors in close proximity to critical organs. IMPAT plans created using this method had elevated RBE enhancement associated with increased linear energy transfer (LET) in both targets and abutting critical organs.
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spelling pubmed-103387432023-07-14 Intensity modulated proton arc therapy via geometry‐based energy selection for ependymoma Cao, Wenhua Li, Yupeng Zhang, Xiaodong Poenisch, Falk Yepes, Pablo Sahoo, Narayan Grosshans, David McGovern, Susan Gunn, G. Brandon Frank, Steven J. Zhu, Xiaorong R. J Appl Clin Med Phys Radiation Oncology Physics PURPOSE: We developed and tested a novel method of creating intensity modulated proton arc therapy (IMPAT) plans that uses computing resources similar to those for regular intensity‐modulated proton therapy (IMPT) plans and may offer a dosimetric benefit for patients with ependymoma or similar tumor geometries. METHODS: Our IMPAT planning method consists of a geometry‐based energy selection step with major scanning spot contributions as inputs computed using ray‐tracing and single‐Gaussian approximation of lateral spot profiles. Based on the geometric relation of scanning spots and dose voxels, our energy selection module selects a minimum set of energy layers at each gantry angle such that each target voxel is covered by sufficient scanning spots as specified by the planner, with dose contributions above the specified threshold. Finally, IMPAT plans are generated by robustly optimizing scanning spots of the selected energy layers using a commercial proton treatment planning system (TPS). The IMPAT plan quality was assessed for four ependymoma patients. Reference three‐field IMPT plans were created with similar planning objective functions and compared with the IMPAT plans. RESULTS: In all plans, the prescribed dose covered 95% of the clinical target volume (CTV) while maintaining similar maximum doses for the brainstem. While IMPAT and IMPT achieved comparable plan robustness, the IMPAT plans achieved better homogeneity and conformity than the IMPT plans. The IMPAT plans also exhibited higher relative biological effectiveness (RBE) enhancement than did the corresponding reference IMPT plans for the CTV in all four patients and brainstem in three of them. CONCLUSIONS: The proposed method demonstrated potential as an efficient technique for IMPAT planning and may offer a dosimetric benefit for patients with ependymoma or tumors in close proximity to critical organs. IMPAT plans created using this method had elevated RBE enhancement associated with increased linear energy transfer (LET) in both targets and abutting critical organs. John Wiley and Sons Inc. 2023-03-13 /pmc/articles/PMC10338743/ /pubmed/36913484 http://dx.doi.org/10.1002/acm2.13954 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
Cao, Wenhua
Li, Yupeng
Zhang, Xiaodong
Poenisch, Falk
Yepes, Pablo
Sahoo, Narayan
Grosshans, David
McGovern, Susan
Gunn, G. Brandon
Frank, Steven J.
Zhu, Xiaorong R.
Intensity modulated proton arc therapy via geometry‐based energy selection for ependymoma
title Intensity modulated proton arc therapy via geometry‐based energy selection for ependymoma
title_full Intensity modulated proton arc therapy via geometry‐based energy selection for ependymoma
title_fullStr Intensity modulated proton arc therapy via geometry‐based energy selection for ependymoma
title_full_unstemmed Intensity modulated proton arc therapy via geometry‐based energy selection for ependymoma
title_short Intensity modulated proton arc therapy via geometry‐based energy selection for ependymoma
title_sort intensity modulated proton arc therapy via geometry‐based energy selection for ependymoma
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338743/
https://www.ncbi.nlm.nih.gov/pubmed/36913484
http://dx.doi.org/10.1002/acm2.13954
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