Issue 12, 2019

Clinically relevant nanodosimetric simulation of DNA damage complexity from photons and protons

Abstract

Relative Biological Effectiveness (RBE), the ratio of doses between radiation modalities to produce the same biological endpoint, is a controversial and important topic in proton therapy. A number of phenomenological models incorporate variable RBE as a function of Linear Energy Transfer (LET), though a lack of mechanistic description limits their applicability. In this work we take a different approach, using a track structure model employing fundamental physics and chemistry to make predictions of proton and photon induced DNA damage, the first step in the mechanism of radiation-induced cell death. We apply this model to a proton therapy clinical case showing, for the first time, predictions of DNA damage on a patient treatment plan. Our model predictions are for an idealised cell and are applied to an ependymoma case, at this stage without any cell specific parameters. By comparing to similar predictions for photons, we present a voxel-wise RBE of DNA damage complexity. This RBE of damage complexity shows similar trends to the expected RBE for cell kill, implying that damage complexity is an important factor in DNA repair and therefore biological effect.

Graphical abstract: Clinically relevant nanodosimetric simulation of DNA damage complexity from photons and protons

Supplementary files

Article information

Article type
Paper
Submitted
11 Dec 2018
Accepted
21 Feb 2019
First published
28 Feb 2019
This article is Open Access
Creative Commons BY license

RSC Adv., 2019,9, 6845-6858

Clinically relevant nanodosimetric simulation of DNA damage complexity from photons and protons

N. T. Henthorn, J. W. Warmenhoven, M. Sotiropoulos, A. H. Aitkenhead, E. A. K. Smith, S. P. Ingram, N. F. Kirkby, A. L. Chadwick, N. G. Burnet, R. I. Mackay, K. J. Kirkby and M. J. Merchant, RSC Adv., 2019, 9, 6845 DOI: 10.1039/C8RA10168J

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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