| ID | 70474 |
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| Author |
Shigehira, Takafumi
Particle Radiation Oncology Research Center, Institute for Integrated Radiation and Nuclear Science, Kyoto University
Watanabe, Tubasa
Particle Radiation Oncology Research Center, Institute for Integrated Radiation and Nuclear Science, Kyoto University
Suzuki, Minoru
Particle Radiation Oncology Research Center, Institute for Integrated Radiation and Nuclear Science, Kyoto University
Hirata, Yuho
Research Group for Radiation Transport Analysis, Nuclear Science and Engineering Center , Japan Atomic Energy Agency (JAEA)
Ogawa, Tatsuhiko
Research Group for Radiation Transport Analysis, Nuclear Science and Engineering Center , Japan Atomic Energy Agency (JAEA)
Fujimura, Atsushi
Department of Cellular Physiology, Neutron Therapy Research Center, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences
ORCID
Kaken ID
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Sakurai, Yoshinori
Particle Radiation Oncology Research Center, Institute for Integrated Radiation and Nuclear Science, Kyoto University
Sato, Tatsuhiko
Research Group for Radiation Transport Analysis, Nuclear Science and Engineering Center , Japan Atomic Energy Agency (JAEA)
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| Abstract | Boron neutron capture therapy (BNCT) utilizes high linear energy transfer (LET) α-particles and 7Li ions generated through the 10B(n, α)7Li reaction. Precise dosimetry is essential for maximizing therapeutic efficacy while minimizing normal tissue adverse events, considering the microscopic distribution of 10B and cellular structures. Recently, the photon isoeffective dose (DisoE) has been proposed as a more appropriate metric for BNCT treatment planning and can be evaluated using the stochastic microdosimetric kinetic (SMK) model. However, clinical implementation of the SMK model remains challenging due to the difficulty of evaluating its input parameters, which requires computationally intensive radiation transport simulations at the cellular scale. To address this issue, we developed LISMEC (Linear Interpolation System for Stochastic Microdosimetric Kinetic model parameters Evaluated from Cellular-scale simulation), a rapid estimation framework based on precomputed cellular-scale PHITS (Particle and Heavy Ion Transport code System) simulations covering various cell geometries and boron distributions. By applying a linear interpolation algorithm, LISMEC enables the retrieval of SMK model parameters without the need for computationally intensive cellular-scale simulations. The utility of LISMEC, in conjunction with PHITS, was demonstrated through simulations of various irradiation scenarios in reactor-based BNCT. The results showed that DisoE values ranged from 7.4 to 32.7 Gy, even under a fixed macroscopic 10B concentration of 60 ppm. These findings emphasize the importance of incorporating a microscopic distribution of 10B and cellular structures into BNCT treatment planning.
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| Keywords | BNCT
microdosimetry
borondistribution
cellmorphology
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| Published Date | 2026-02-05
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| Publication Title |
Journal of Radiation Research
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| Volume | volume67
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| Issue | issue2
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| Publisher | Oxford University Press (OUP)
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| Start Page | 170
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| End Page | 181
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| ISSN | 0449-3060
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| NCID | AA00705792
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| Content Type |
Journal Article
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| language |
English
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| OAI-PMH Set |
岡山大学
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| Copyright Holders | © The Author(s) 2026.
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| File Version | publisher
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| Related Url | isVersionOf https://doi.org/10.1093/jrr/rraf075
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| License | https://creativecommons.org/licenses/by/4.0/
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| Citation | Takafumi Shigehira, Tubasa Watanabe, Minoru Suzuki, Yuho Hirata, Tatsuhiko Ogawa, Atsushi Fujimura, Yoshinori Sakurai, Tatsuhiko Sato, Development of Linear Interpolation System for SMK Model Parameters Evaluated from Cellular-Scale Simulation (LISMEC) and its application to BNCT dosimetry, Journal of Radiation Research, Volume 67, Issue 2, March 2026, Pages 170–181, https://doi.org/10.1093/jrr/rraf075
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| 助成情報 |
23K21426:
異分野連携によるα線核医学治療の効果予測に向けた線量評価システムの開発
( 独立行政法人日本学術振興会 / Japan Society for the Promotion of Science )
23K27554:
アルファ線の被ばく量を細胞レベルで解析するマイクロドジメトリ法の開発
( 独立行政法人日本学術振興会 / Japan Society for the Promotion of Science )
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