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Technical Note: validation of a material assignment method for a retrospective study of carbon-ion radiotherapy using Monte Carlo simulation

We propose a two-step method to converse human tissue materials from patient computed tomography (CT) images, which is required in dose reconstructions for a retrospective study of carbon-ion radiotherapy (CIRT) using Monte Carlo (MC) simulation. The first step was to assign the standard tissues of...

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Autores principales: Chang, Weishan, Koba, Yusuke, Furuta, Takuya, Yonai, Shunsuke, Hashimoto, Shintaro, Matsumoto, Shinnosuke, Sato, Tatsuhiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8438268/
https://www.ncbi.nlm.nih.gov/pubmed/33998654
http://dx.doi.org/10.1093/jrr/rrab028
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author Chang, Weishan
Koba, Yusuke
Furuta, Takuya
Yonai, Shunsuke
Hashimoto, Shintaro
Matsumoto, Shinnosuke
Sato, Tatsuhiko
author_facet Chang, Weishan
Koba, Yusuke
Furuta, Takuya
Yonai, Shunsuke
Hashimoto, Shintaro
Matsumoto, Shinnosuke
Sato, Tatsuhiko
author_sort Chang, Weishan
collection PubMed
description We propose a two-step method to converse human tissue materials from patient computed tomography (CT) images, which is required in dose reconstructions for a retrospective study of carbon-ion radiotherapy (CIRT) using Monte Carlo (MC) simulation. The first step was to assign the standard tissues of the International Commission on Radiological Protection reference phantoms according to the CT-number. The second step was to determine the mass density of each material based on the relationship between CT-number and stopping power ratio (Hounsfield unit [HU]-SPR) registered in treatment planning system (TPS). Direct implementation of the well-calibrated HU-SPR curve allows the reproduction of previous clinical treatments recorded in TPS without uncertainty due to a mismatch of the CT scanner or scanning conditions, whereas MC simulation with realistic human tissue materials can fulfill the out-of-field dose, which was missing in the record. To validate our proposed method, depth-dose distributions in the homogenous and heterogeneous phantoms irradiated by a 400 MeV/u carbon beam with an 8 cm spread-out Bragg peak (SOBP) were computed by the MC simulation in combination with the proposed methods and compared with those of TPS. Good agreement of the depth-dose distributions between the TPS and MC simulation (within a 1% discrepancy in range) was obtained for different materials. In contrast, fluence distributions of secondary particles revealed the necessity of MC simulation using realistic human tissue. The proposed material assignment method will be used for a retrospective study using previous clinical data of CIRT at the National Institute of Radiological Sciences (NIRS).
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spelling pubmed-84382682021-09-15 Technical Note: validation of a material assignment method for a retrospective study of carbon-ion radiotherapy using Monte Carlo simulation Chang, Weishan Koba, Yusuke Furuta, Takuya Yonai, Shunsuke Hashimoto, Shintaro Matsumoto, Shinnosuke Sato, Tatsuhiko J Radiat Res Fundamental Radiation Science We propose a two-step method to converse human tissue materials from patient computed tomography (CT) images, which is required in dose reconstructions for a retrospective study of carbon-ion radiotherapy (CIRT) using Monte Carlo (MC) simulation. The first step was to assign the standard tissues of the International Commission on Radiological Protection reference phantoms according to the CT-number. The second step was to determine the mass density of each material based on the relationship between CT-number and stopping power ratio (Hounsfield unit [HU]-SPR) registered in treatment planning system (TPS). Direct implementation of the well-calibrated HU-SPR curve allows the reproduction of previous clinical treatments recorded in TPS without uncertainty due to a mismatch of the CT scanner or scanning conditions, whereas MC simulation with realistic human tissue materials can fulfill the out-of-field dose, which was missing in the record. To validate our proposed method, depth-dose distributions in the homogenous and heterogeneous phantoms irradiated by a 400 MeV/u carbon beam with an 8 cm spread-out Bragg peak (SOBP) were computed by the MC simulation in combination with the proposed methods and compared with those of TPS. Good agreement of the depth-dose distributions between the TPS and MC simulation (within a 1% discrepancy in range) was obtained for different materials. In contrast, fluence distributions of secondary particles revealed the necessity of MC simulation using realistic human tissue. The proposed material assignment method will be used for a retrospective study using previous clinical data of CIRT at the National Institute of Radiological Sciences (NIRS). Oxford University Press 2021-05-17 /pmc/articles/PMC8438268/ /pubmed/33998654 http://dx.doi.org/10.1093/jrr/rrab028 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of The Japanese Radiation Research Society and Japanese Society for Radiation Oncology. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Fundamental Radiation Science
Chang, Weishan
Koba, Yusuke
Furuta, Takuya
Yonai, Shunsuke
Hashimoto, Shintaro
Matsumoto, Shinnosuke
Sato, Tatsuhiko
Technical Note: validation of a material assignment method for a retrospective study of carbon-ion radiotherapy using Monte Carlo simulation
title Technical Note: validation of a material assignment method for a retrospective study of carbon-ion radiotherapy using Monte Carlo simulation
title_full Technical Note: validation of a material assignment method for a retrospective study of carbon-ion radiotherapy using Monte Carlo simulation
title_fullStr Technical Note: validation of a material assignment method for a retrospective study of carbon-ion radiotherapy using Monte Carlo simulation
title_full_unstemmed Technical Note: validation of a material assignment method for a retrospective study of carbon-ion radiotherapy using Monte Carlo simulation
title_short Technical Note: validation of a material assignment method for a retrospective study of carbon-ion radiotherapy using Monte Carlo simulation
title_sort technical note: validation of a material assignment method for a retrospective study of carbon-ion radiotherapy using monte carlo simulation
topic Fundamental Radiation Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8438268/
https://www.ncbi.nlm.nih.gov/pubmed/33998654
http://dx.doi.org/10.1093/jrr/rrab028
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