Literature DB >> 11539948

Monte Carlo track structure studies of energy deposition and calculation of initial DSB and RBE.

H Nikjoo1, D E Charlton, D T Goodhead.   

Abstract

Estimation of exposure due to environmental and other sources of radiations of high-LET and low-LET is of interest in radiobiology and radiation protection for risk assessment. To account for the differences in effectiveness of different types of radiations various parameters have been used. However, the relative inadequacy of the commonly used parameters, including dose, fluence, linear energy transfer, lineal energy, specific energy and quality factor, has been made manifest by the biological importance of the microscopic track structure and primary modes of interaction. Monte Carlo track structure simulations have been used to calculate the frequency of energy deposition by radiations of high- and low-LET in target sizes similar to DNA and higher order genomic structure. Tracks of monoenergetic heavy ions and electrons were constructed by following the molecular interaction-by-interaction histories of the particles down to 10 eV. Subsequently, geometrical models of these assumed biological targets were randomly exposed to the radiation tracks and the frequency of energy depositions obtained were normalized to unit dose in unit density liquid water (l0(3) kg m-3). From these data and a more sophisticated model of the DNA, absolute yields of both single- and double-strand breaks expressed in number of breaks per dalton per Gray were obtained and compared with the measured yields. The relative biological effectiveness (RBE) for energy depositions in cylindrical targets has been calculated using 100 keV electrons as the reference radiation assuming the electron track-ends contribution is similar to that in 250 kV X-ray or Co60 gamma-ray irradiations.

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Year:  1994        PMID: 11539948     DOI: 10.1016/0273-1177(94)90466-9

Source DB:  PubMed          Journal:  Adv Space Res        ISSN: 0273-1177            Impact factor:   2.152


  4 in total

1.  Molecular and cell models of biological effects of heavy ion radiation.

Authors:  D T Goodhead
Journal:  Radiat Environ Biophys       Date:  1995-06       Impact factor: 1.925

2.  Integrating informative priors from experimental research with Bayesian methods: an example from radiation epidemiology.

Authors:  Ghassan Hamra; David Richardson; Richard Maclehose; Steve Wing
Journal:  Epidemiology       Date:  2013-01       Impact factor: 4.822

Review 3.  DNA studies using atomic force microscopy: capabilities for measurement of short DNA fragments.

Authors:  Dalong Pang; Alain R Thierry; Anatoly Dritschilo
Journal:  Front Mol Biosci       Date:  2015-01-29

Review 4.  Ionizing Radiation and Complex DNA Damage: From Prediction to Detection Challenges and Biological Significance.

Authors:  Ifigeneia V Mavragani; Zacharenia Nikitaki; Spyridon A Kalospyros; Alexandros G Georgakilas
Journal:  Cancers (Basel)       Date:  2019-11-14       Impact factor: 6.639

  4 in total

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