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J Theor Biol. 2017 May 7;420:135-143. doi: 10.1016/j.jtbi.2017.03.002. Epub 2017 Mar 8.

A novel multitarget model of radiation-induced cell killing based on the Gaussian distribution.

Author information

1
Institute of Environmental Systems Biology, College of Environmental Science and Engineering, Dalian Maritime University, Dalian, Liaoning, PR China.
2
Department of Physics, Dalian Maritime University, Dalian, Liaoning, PR China. Electronic address: mid@dlmu.edu.cn.
3
Institute of Environmental Systems Biology, College of Environmental Science and Engineering, Dalian Maritime University, Dalian, Liaoning, PR China. Electronic address: yqsun@dlmu.edu.cn.

Abstract

The multitarget version of the traditional target theory based on the Poisson distribution is still used to describe the dose-survival curves of cells after ionizing radiation in radiobiology and radiotherapy. However, noting that the usual ionizing radiation damage is the result of two sequential stochastic processes, the probability distribution of the damage number per cell should follow a compound Poisson distribution, like e.g. Neyman's distribution of type A (N. A.). In consideration of that the Gaussian distribution can be considered as the approximation of the N. A. in the case of high flux, a multitarget model based on the Gaussian distribution is proposed to describe the cell inactivation effects in low linear energy transfer (LET) radiation with high dose-rate. Theoretical analysis and experimental data fitting indicate that the present theory is superior to the traditional multitarget model and similar to the Linear - Quadratic (LQ) model in describing the biological effects of low-LET radiation with high dose-rate, and the parameter ratio in the present model can be used as an alternative indicator to reflect the radiation damage and radiosensitivity of the cells.

KEYWORDS:

Cell killing; Compound Poisson distribution; Gaussian distribution; Ionizing radiation; Multitarget model

PMID:
28284991
DOI:
10.1016/j.jtbi.2017.03.002
[Indexed for MEDLINE]

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