Literature DB >> 18182686

Biophysical calculation of cell survival probabilities using amorphous track structure models for heavy-ion irradiation.

Yuki Kase1, Tatsuaki Kanai, Naruhiro Matsufuji, Yoshiya Furusawa, Thilo Elsässer, Michael Scholz.   

Abstract

Both the microdosimetric kinetic model (MKM) and the local effect model (LEM) can be used to calculate the surviving fraction of cells irradiated by high-energy ion beams. In this study, amorphous track structure models instead of the stochastic energy deposition are used for the MKM calculation, and it is found that the MKM calculation is useful for predicting the survival curves of the mammalian cells in vitro for (3)He-, (12)C- and (20)Ne-ion beams. The survival curves are also calculated by two different implementations of the LEM, which inherently used an amorphous track structure model. The results calculated in this manner show good agreement with the experimental results especially for the modified LEM. These results are compared to those calculated by the MKM. Comparison of the two models reveals that both models require three basic constituents: target geometry, photon survival curve and track structure, although the implementation of each model is significantly different. In the context of the amorphous track structure model, the difference between the MKM and LEM is primarily the result of different approaches calculating the biological effects of the extremely high local dose in the center of the ion track.

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Year:  2007        PMID: 18182686     DOI: 10.1088/0031-9155/53/1/003

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


  14 in total

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Authors:  Lisa Polster; Jan Schuemann; Ilaria Rinaldi; Lucas Burigo; Aimee L McNamara; Robert D Stewart; Andrea Attili; David J Carlson; Tatsuhiko Sato; José Ramos Méndez; Bruce Faddegon; Joseph Perl; Harald Paganetti
Journal:  Phys Med Biol       Date:  2015-06-10       Impact factor: 3.609

2.  Using the Proton Energy Spectrum and Microdosimetry to Model Proton Relative Biological Effectiveness.

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Journal:  Int J Radiat Oncol Biol Phys       Date:  2019-02-05       Impact factor: 7.038

3.  Full Monte Carlo-Based Biologic Treatment Plan Optimization System for Intensity Modulated Carbon Ion Therapy on Graphics Processing Unit.

Authors:  Nan Qin; Chenyang Shen; Min-Yu Tsai; Marco Pinto; Zhen Tian; Georgios Dedes; Arnold Pompos; Steve B Jiang; Katia Parodi; Xun Jia
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-09-12       Impact factor: 7.038

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Journal:  BMC Microbiol       Date:  2013-09-28       Impact factor: 3.605

5.  ATM alters the otherwise robust chromatin mobility at sites of DNA double-strand breaks (DSBs) in human cells.

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6.  Estimation of relative biological effectiveness for boron neutron capture therapy using the PHITS code coupled with a microdosimetric kinetic model.

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Journal:  J Radiat Res       Date:  2014-11-26       Impact factor: 2.724

7.  Selection of carbon beam therapy: biophysical models of carbon beam therapy.

Authors:  Naruhiro Matsufuji
Journal:  J Radiat Res       Date:  2018-03-01       Impact factor: 2.724

8.  Microdosimetric calculation of relative biological effectiveness for design of therapeutic proton beams.

Authors:  Yuki Kase; Wataru Yamashita; Naruhiro Matsufuji; Kenta Takada; Takeji Sakae; Yoshiya Furusawa; Haruo Yamashita; Shigeyuki Murayama
Journal:  J Radiat Res       Date:  2012-11-23       Impact factor: 2.724

9.  A Simpler Energy Transfer Efficiency Model to Predict Relative Biological Effect for Protons and Heavier Ions.

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Journal:  Front Oncol       Date:  2015-08-11       Impact factor: 6.244

10.  Radiation induces acid tolerance of Clostridium tyrobutyricum and enhances bioproduction of butyric acid through a metabolic switch.

Authors:  Xiang Zhou; Xi-Hong Lu; Xue-Hu Li; Zhi-Jun Xin; Jia-Rong Xie; Mei-Rong Zhao; Liang Wang; Wen-Yue Du; Jian-Ping Liang
Journal:  Biotechnol Biofuels       Date:  2014-02-18       Impact factor: 6.040

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