Analysis of boron neutron capture reaction sensitivity using Monte Carlo simulation and proposal of a new dosimetry index in boron neutron capture therapy.

Monte Carlo simulation absolute biological effectiveness (ABE) boron neutron capture therapy (BNCT) compound biological effectiveness (CBE) dosimetry index

Journal

Journal of radiation research
ISSN: 1349-9157
Titre abrégé: J Radiat Res
Pays: England
ID NLM: 0376611

Informations de publication

Date de publication:
21 Sep 2022
Historique:
received: 14 02 2022
revised: 26 04 2022
pubmed: 7 7 2022
medline: 24 9 2022
entrez: 6 7 2022
Statut: ppublish

Résumé

Boron neutron capture therapy is a cellular-scale heavy-particle therapy. The factor determining the biological effects in the boron neutron capture reaction (BNCR) is the value of ${\alpha}_{boron}$, which is the alpha component in the Linear Quadratic (LQ) model. Recently, the factor determining the value of ${\alpha}_{boron}$ has been revealed to correspond to the structural features of the tumor tissue. However, the relationship and mechanism have yet to be thoroughly studied. In this study, we simulated BNCR in tissues using the Monte Carlo simulation technique and examined the factors that determine the value of ${\alpha}_{boron}$. According to this simulation, the nuclear-cytoplasmic (N/C) ratio, nuclear diameter and heterogeneity of the distribution of boron in the tissue have been suggested to determine the value of ${\alpha}_{boron}$. Moreover, we proposed Biological Effectivity (BE) as a new dosimetry index based on the surviving fraction (SF), extending the concept of absolute biological effectiveness (ABE) in a previous report.

Identifiants

pubmed: 35791445
pii: 6631441
doi: 10.1093/jrr/rrac038
pmc: PMC9494546
doi:

Substances chimiques

Boron N9E3X5056Q

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

780-791

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press on behalf of The Japanese Radiation Research Society and Japanese Society for Radiation Oncology.

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Auteurs

Satoshi Takeno (S)

Particle Radiation Oncology Research Center, Institute for Integrated Radiation and Nuclear Science, Kyoto University, 2-Asashiro-Nishi, Kumatori-cho, Sennan-gun, Osaka 590-0494, Japan.
Department of Radiation Oncology and Image-Applied Therapy, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan.
Kansai BNCT Medical Center, Osaka Medical and Pharmaceutical University, 2-7 Daigaku-machi Takatsuki-shi, Osaka 569-8686, Japan.

Hiroki Tanaka (H)

Particle Radiation Oncology Research Center, Institute for Integrated Radiation and Nuclear Science, Kyoto University, 2-Asashiro-Nishi, Kumatori-cho, Sennan-gun, Osaka 590-0494, Japan.

Koji Ono (K)

Kansai BNCT Medical Center, Osaka Medical and Pharmaceutical University, 2-7 Daigaku-machi Takatsuki-shi, Osaka 569-8686, Japan.

Takashi Mizowaki (T)

Department of Radiation Oncology and Image-Applied Therapy, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan.

Minoru Suzuki (M)

Particle Radiation Oncology Research Center, Institute for Integrated Radiation and Nuclear Science, Kyoto University, 2-Asashiro-Nishi, Kumatori-cho, Sennan-gun, Osaka 590-0494, Japan.

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Classifications MeSH