Mechanistic model of the cells irradiation using the stochastic biophysical input

K. W. Fornalski
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引用次数: 11

Abstract

In this paper a full description of the mechanistic model of the cells irradiation is presented. The model is based on the computational Quasi–Markov Chain Monte Carlo method with a stochastic tree of probabilities and using the biophysical input. The biophysics of the cells is described by the probabilities and probability distributions provided as an input. Many biophysical aspects are implemented into the model, i.e. the adaptive response effect or the bystander effect. It results in the sigmoidal relationships for carcinogenic risk as a function of the irradiation. The methodology used makes the model universal and practical for the simulations of general processes. However, the presented theoretical model does not describe the real cells and tissues. Also the exposure geometry, type of radiation as well as microdosimetry are not taken into account in this model. The model is focused mainly on the creation of general and maximal wide mathematical description of irradiated hypothetical cells treated as complex physical systems.
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基于随机生物物理输入的细胞辐照机理模型
本文对细胞辐照的机理模型作了全面的描述。该模型基于计算拟马尔可夫链蒙特卡罗方法,采用随机概率树并使用生物物理输入。细胞的生物物理学是由作为输入的概率和概率分布来描述的。许多生物物理方面被实现到模型中,即适应性反应效应或旁观者效应。它的结果是致癌风险与辐射的函数呈s型关系。所采用的方法使模型具有通用性和实用性,可用于一般过程的模拟。然而,所提出的理论模型并不能描述真实的细胞和组织。此外,该模型没有考虑照射几何形状、辐射类型以及微剂量学。该模型主要侧重于创建一般的和最广泛的数学描述辐照假设细胞被视为复杂的物理系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Low Radiation
International Journal of Low Radiation Environmental Science-Health, Toxicology and Mutagenesis
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期刊介绍: The IJLR is a peer-reviewed journal dedicated to the publication of research articles, review papers and technical notes in all domains related to low-dose radiation, among which are the biological and health effects in humans and the biota, in vitro and in vivo research on low radiation effects, regulatory and policy aspects, risk estimation and public perception.
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