| Literature DB >> 31109825 |
Dousatsu Sakata1, Nathanael Lampe2, Mathieu Karamitros3, Ioanna Kyriakou4, Oleg Belov5, Mario A Bernal6, David Bolst1, Marie-Claude Bordage7, Vincent Breton8, Jeremy M C Brown9, Ziad Francis10, Vladimir Ivanchenko11, Sylvain Meylan12, Koichi Murakami13, Shogo Okada13, Ivan Petrovic14, Aleksandra Ristic-Fira14, Giovanni Santin15, David Sarramia8, Takashi Sasaki13, Wook-Geun Shin2, Nicolas Tang16, Hoang N Tran17, Carmen Villagrasa16, Dimitris Emfietzoglou4, Petteri Nieminen15, Susanna Guatelli1, Sebastien Incerti18.
Abstract
The advancement of multidisciplinary research fields dealing with ionising radiation induced biological damage - radiobiology, radiation physics, radiation protection and, in particular, medical physics - requires a clear mechanistic understanding of how cellular damage is induced by ionising radiation. Monte Carlo (MC) simulations provide a promising approach for the mechanistic simulation of radiation transport and radiation chemistry, towards the in silico simulation of early biological damage. We have recently developed a fully integrated MC simulation that calculates early single strand breaks (SSBs) and double strand breaks (DSBs) in a fractal chromatin based human cell nucleus model. The results of this simulation are almost equivalent to past MC simulations when considering direct/indirect strand break fraction, DSB yields and fragment distribution. The simulation results agree with experimental data on DSB yields within 13.6% on average and fragment distributions agree within an average of 34.8%.Entities:
Keywords: DNA damage; Geant4-DNA; Monte Carlo simulation
Mesh:
Year: 2019 PMID: 31109825 DOI: 10.1016/j.ejmp.2019.04.010
Source DB: PubMed Journal: Phys Med ISSN: 1120-1797 Impact factor: 2.685