Literature DB >> 22040102

A comparison of X-ray and proton beam low energy secondary electron track structures using the low energy models of Geant4.

Aimee L McNamara1, Susanna Guatelli, Dale A Prokopovich, Mark I Reinhard, Anatoly B Rosenfeld.   

Abstract

PURPOSE: Lethal cell damage by ionising radiation is generally initiated by the formation of complex strand breaks, resulting from ionisation clusters in the DNA molecule. A better understanding of the effect of the distribution of ionisation clusters within the cell and particularly in regard to DNA segments could be beneficial to radiation therapy treatment planning. Low energy X-rays generate an abundance of low energy electrons similar to that associated with MeV protons. The study and comparison of the track structure of photon and proton beams could permit the substitution of photon microbeams for single cell ion irradiations at proton facilities used to predict the relative biological effectiveness (RBE) of charged particle fields.
MATERIALS AND METHODS: The track structure of X-ray photons is compared with proton pencil beams in voxels of approximate DNA strand size (2 × 2 × 5 nm). The Very Low Energy extension models of the Monte Carlo simulation toolkit GEometry ANd Tracking 4 (Geant4) is used. Simulations were performed in a water phantom for an X-ray and proton beam of energies 100 keV and 20 MeV, respectively.
RESULTS: The track structure of the photon and proton beams are evaluated using the ionisation cluster size distribution as well as the radial dose deposition of the beam.
CONCLUSIONS: A comparative analysis of the ionisation cluster distribution and radial dose deposition obtained is presented, which suggest that low energy X-rays could produce similar ionisation cluster distributions to MeV protons on the DNA scale of size at depths greater than ∼10 μm and at distances greater than ∼1 μm from the beam centre. Here the ionisation cluster size for each beam is less than ∼100. The radial dose deposition is also approximately equal at large depths and at distances greater than 10 μm from the beam centre.

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Year:  2012        PMID: 22040102     DOI: 10.3109/09553002.2011.627975

Source DB:  PubMed          Journal:  Int J Radiat Biol        ISSN: 0955-3002            Impact factor:   2.694


  3 in total

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Authors:  Eleanor A Blakely
Journal:  Health Phys       Date:  2012-11       Impact factor: 1.316

2.  In silico nanodosimetry: new insights into nontargeted biological responses to radiation.

Authors:  Zdenka Kuncic; Hilary L Byrne; Aimee L McNamara; Susanna Guatelli; Westa Domanova; Sébastien Incerti
Journal:  Comput Math Methods Med       Date:  2012-06-03       Impact factor: 2.238

3.  Simulating the Impact of the Natural Radiation Background on Bacterial Systems: Implications for Very Low Radiation Biological Experiments.

Authors:  Nathanael Lampe; David G Biron; Jeremy M C Brown; Sébastien Incerti; Pierre Marin; Lydia Maigne; David Sarramia; Hervé Seznec; Vincent Breton
Journal:  PLoS One       Date:  2016-11-16       Impact factor: 3.240

  3 in total

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