A mechanistic model of high dose irradiation damage

F.M. Siam, M. Grinfeld, A. Bahar, H.A. Rahman, H. Ahmad, F. Johar

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

The main goal of our study is to develop a realistic mechanistic model of the effect of ionizing radiation on DNA in mammalian cells. We consider a population of cells structured by the number of DNA double strand breaks due to radiation. Using the system of linear differential equation, the model describes the evolution of the irradiated population of cells in time. The work is in three parts. First, we consider the effect of a single dose of radiation, while in the second part we work on the model parameter estimation using Nelder–Mead simplex algorithm which allows us to relate the clinically useful parameters of the LQ relation to aspects of cellular activity that can be manipulated experimentally. In the third part, we deal with cell killing effects of fractioned doses of radiation. Using MATLAB, we observed the cell survival fractions can be well approximated by the Linear–Quadratic relation and also show fewer cell will die if the dose is fractionated in two or more fractions
LanguageEnglish
Pages156-168
Number of pages13
JournalMathematics and Computers in Simulation
Volume151
Early online date19 Mar 2016
DOIs
Publication statusPublished - 30 Sep 2018

Fingerprint

Irradiation
Dosimetry
Dose
Damage
Cells
Cell
Radiation
DNA
Model
Ionizing radiation
Simplex Algorithm
Parameter estimation
MATLAB
Linear differential equation
Differential equations
Parameter Estimation
Die

Keywords

  • linear quadratic relation
  • survival curves
  • dose fractionation
  • structured population theory
  • parameter estimation

Cite this

Siam, F.M. ; Grinfeld, M. ; Bahar, A. ; Rahman, H.A. ; Ahmad, H. ; Johar, F. / A mechanistic model of high dose irradiation damage. In: Mathematics and Computers in Simulation. 2018 ; Vol. 151. pp. 156-168.
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A mechanistic model of high dose irradiation damage. / Siam, F.M.; Grinfeld, M.; Bahar, A.; Rahman, H.A.; Ahmad, H.; Johar, F.

In: Mathematics and Computers in Simulation, Vol. 151, 30.09.2018, p. 156-168.

Research output: Contribution to journalArticle

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