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Validation of robust radiobiological optimization algorithms based on the mixed beam model for intensity-modulated carbon-ion therapy

Currently, treatment planning systems (TPSs) that can compute the intensities of intensity-modulated carbon-ion therapy (IMCT) using scanned carbon-ion beams are limited. In the present study, the computational efficacy of the newly designed IMCT algorithms was analyzed for the first time based on t...

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Autores principales: Yagi, Masashi, Tsubouchi, Toshiro, Hamatani, Noriaki, Takashina, Masaaki, Saruwatari, Naoto, Minami, Kazumasa, Wakisaka, Yushi, Fujitaka, Shinichiro, Hirayama, Shusuke, Nihongi, Hideaki, Hasegawa, Azusa, Koizumi, Masahiko, Shimizu, Shinichi, Ogawa, Kazuhiko, Kanai, Tatsuaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381094/
https://www.ncbi.nlm.nih.gov/pubmed/37506069
http://dx.doi.org/10.1371/journal.pone.0288545
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author Yagi, Masashi
Tsubouchi, Toshiro
Hamatani, Noriaki
Takashina, Masaaki
Saruwatari, Naoto
Minami, Kazumasa
Wakisaka, Yushi
Fujitaka, Shinichiro
Hirayama, Shusuke
Nihongi, Hideaki
Hasegawa, Azusa
Koizumi, Masahiko
Shimizu, Shinichi
Ogawa, Kazuhiko
Kanai, Tatsuaki
author_facet Yagi, Masashi
Tsubouchi, Toshiro
Hamatani, Noriaki
Takashina, Masaaki
Saruwatari, Naoto
Minami, Kazumasa
Wakisaka, Yushi
Fujitaka, Shinichiro
Hirayama, Shusuke
Nihongi, Hideaki
Hasegawa, Azusa
Koizumi, Masahiko
Shimizu, Shinichi
Ogawa, Kazuhiko
Kanai, Tatsuaki
author_sort Yagi, Masashi
collection PubMed
description Currently, treatment planning systems (TPSs) that can compute the intensities of intensity-modulated carbon-ion therapy (IMCT) using scanned carbon-ion beams are limited. In the present study, the computational efficacy of the newly designed IMCT algorithms was analyzed for the first time based on the mixed beam model with respect to the physical and biological doses; moreover, the validity and effectiveness of the robust radiobiological optimization were verified. A dose calculation engine was independently generated to validate a clinical dose determined in the TPS. A biological assay was performed using the HSGc-C5 cell line to validate the calculated surviving fraction (SF). Both spot control (SC) and voxel-wise worst-case scenario (WC) algorithms were employed for robust radiobiological optimization followed by their application in a Radiation Therapy Oncology Group benchmark phantom under homogeneous and heterogeneous conditions and a clinical case for range and position errors. Importantly, for the first time, both SC and WC algorithms were implemented in the integrated TPS platform that can compute the intensities of IMCT using scanned carbon-ion beams for robust radiobiological optimization. For assessing the robustness, the difference between the maximum and minimum values of a dose–volume histogram index in the examined error scenarios was considered as a robustness index. The relative biological effectiveness (RBE) determined by the independent dose calculation engine exhibited a −0.6% difference compared with the RBE defined by the TPS at the isocenter, whereas the measured and the calculated SF were similar. Regardless of the objects, compared with the conventional IMCT, the robust radiobiological optimization enhanced the sensitivity of the examined error scenarios by up to 19% for the robustness index. The computational efficacy of the novel IMCT algorithms was verified according to the mixed beam model with respect to the physical and biological doses. The robust radiobiological optimizations lowered the impact of range and position uncertainties considerably in the examined scenarios. The robustness of the WC algorithm was more enhanced compared with that of the SC algorithm. Nevertheless, the SC algorithm can be used as an alternative to the WC IMCT algorithm with respect to the computational cost.
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spelling pubmed-103810942023-07-29 Validation of robust radiobiological optimization algorithms based on the mixed beam model for intensity-modulated carbon-ion therapy Yagi, Masashi Tsubouchi, Toshiro Hamatani, Noriaki Takashina, Masaaki Saruwatari, Naoto Minami, Kazumasa Wakisaka, Yushi Fujitaka, Shinichiro Hirayama, Shusuke Nihongi, Hideaki Hasegawa, Azusa Koizumi, Masahiko Shimizu, Shinichi Ogawa, Kazuhiko Kanai, Tatsuaki PLoS One Research Article Currently, treatment planning systems (TPSs) that can compute the intensities of intensity-modulated carbon-ion therapy (IMCT) using scanned carbon-ion beams are limited. In the present study, the computational efficacy of the newly designed IMCT algorithms was analyzed for the first time based on the mixed beam model with respect to the physical and biological doses; moreover, the validity and effectiveness of the robust radiobiological optimization were verified. A dose calculation engine was independently generated to validate a clinical dose determined in the TPS. A biological assay was performed using the HSGc-C5 cell line to validate the calculated surviving fraction (SF). Both spot control (SC) and voxel-wise worst-case scenario (WC) algorithms were employed for robust radiobiological optimization followed by their application in a Radiation Therapy Oncology Group benchmark phantom under homogeneous and heterogeneous conditions and a clinical case for range and position errors. Importantly, for the first time, both SC and WC algorithms were implemented in the integrated TPS platform that can compute the intensities of IMCT using scanned carbon-ion beams for robust radiobiological optimization. For assessing the robustness, the difference between the maximum and minimum values of a dose–volume histogram index in the examined error scenarios was considered as a robustness index. The relative biological effectiveness (RBE) determined by the independent dose calculation engine exhibited a −0.6% difference compared with the RBE defined by the TPS at the isocenter, whereas the measured and the calculated SF were similar. Regardless of the objects, compared with the conventional IMCT, the robust radiobiological optimization enhanced the sensitivity of the examined error scenarios by up to 19% for the robustness index. The computational efficacy of the novel IMCT algorithms was verified according to the mixed beam model with respect to the physical and biological doses. The robust radiobiological optimizations lowered the impact of range and position uncertainties considerably in the examined scenarios. The robustness of the WC algorithm was more enhanced compared with that of the SC algorithm. Nevertheless, the SC algorithm can be used as an alternative to the WC IMCT algorithm with respect to the computational cost. Public Library of Science 2023-07-28 /pmc/articles/PMC10381094/ /pubmed/37506069 http://dx.doi.org/10.1371/journal.pone.0288545 Text en © 2023 Yagi et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Yagi, Masashi
Tsubouchi, Toshiro
Hamatani, Noriaki
Takashina, Masaaki
Saruwatari, Naoto
Minami, Kazumasa
Wakisaka, Yushi
Fujitaka, Shinichiro
Hirayama, Shusuke
Nihongi, Hideaki
Hasegawa, Azusa
Koizumi, Masahiko
Shimizu, Shinichi
Ogawa, Kazuhiko
Kanai, Tatsuaki
Validation of robust radiobiological optimization algorithms based on the mixed beam model for intensity-modulated carbon-ion therapy
title Validation of robust radiobiological optimization algorithms based on the mixed beam model for intensity-modulated carbon-ion therapy
title_full Validation of robust radiobiological optimization algorithms based on the mixed beam model for intensity-modulated carbon-ion therapy
title_fullStr Validation of robust radiobiological optimization algorithms based on the mixed beam model for intensity-modulated carbon-ion therapy
title_full_unstemmed Validation of robust radiobiological optimization algorithms based on the mixed beam model for intensity-modulated carbon-ion therapy
title_short Validation of robust radiobiological optimization algorithms based on the mixed beam model for intensity-modulated carbon-ion therapy
title_sort validation of robust radiobiological optimization algorithms based on the mixed beam model for intensity-modulated carbon-ion therapy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381094/
https://www.ncbi.nlm.nih.gov/pubmed/37506069
http://dx.doi.org/10.1371/journal.pone.0288545
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