Literature DB >> 17148817

Biological dose calculation with Monte Carlo physics simulation for heavy-ion radiotherapy.

Yuki Kase1, Nobuyuki Kanematsu, Tatsuaki Kanai, Naruhiro Matsufuji.   

Abstract

Treatment planning of heavy-ion radiotherapy involves predictive calculation of not only the physical dose but also the biological dose in a patient body. The biological dose is defined as the product of the physical dose and the relative biological effectiveness (RBE). In carbon-ion radiotherapy at National Institute of Radiological Sciences, the RBE value has been defined as the ratio of the 10% survival dose of 200 kVp x-rays to that of the radiation of interest for in vitro human salivary gland tumour cells. In this note, the physical and biological dose distributions of a typical therapeutic carbon-ion beam are calculated using the GEANT4 Monte Carlo simulation toolkit in comparison with those with the biological dose estimate system based on the one-dimensional beam model currently used in treatment planning. The results differed between the GEANT4 simulation and the one-dimensional beam model, indicating the physical limitations in the beam model. This study demonstrates that the Monte Carlo physics simulation technique can be applied to improve the accuracy of the biological dose distribution in treatment planning of heavy-ion radiotherapy.

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Year:  2006        PMID: 17148817     DOI: 10.1088/0031-9155/51/24/N03

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  3 in total

Review 1.  Monte Carlo Simulations of Particle Interactions with Tissue in Carbon Ion Therapy.

Authors:  George Dedes; Katia Parodi
Journal:  Int J Part Ther       Date:  2016-02-09

2.  Optimization of treatment planning for hypoxic tumours and re-modulation of radiation intensity in heavy-ion radiotherapy.

Authors:  Ladan Rezaee
Journal:  Rep Pract Oncol Radiother       Date:  2019-12-17

3.  Visualisation of γH2AX foci caused by heavy ion particle traversal; distinction between core track versus non-track damage.

Authors:  Nakako Izumi Nakajima; Holly Brunton; Ritsuko Watanabe; Amruta Shrikhande; Ryoichi Hirayama; Naruhiro Matsufuji; Akira Fujimori; Takeshi Murakami; Ryuichi Okayasu; Penny Jeggo; Atsushi Shibata
Journal:  PLoS One       Date:  2013-08-14       Impact factor: 3.240

  3 in total

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