4.6 Article

Modeling the effect of oxygen on the chemical stage of water radiolysis using GPU-based microscopic Monte Carlo simulations, with an application in FLASH radiotherapy

Journal

PHYSICS IN MEDICINE AND BIOLOGY
Volume 66, Issue 2, Pages -

Publisher

IOP PUBLISHING LTD
DOI: 10.1088/1361-6560/abc93b

Keywords

FLASH radiotherapy; oxygen depletion effect; microscopic Monte Carlo simulation; GPU parallel computation

Funding

  1. Cancer Prevention and Research Institute of Texas (CPRIT) [RP160661]
  2. National Institutes of Health [R37CA214639]

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Oxygen plays a critical role in determining initial DNA damages caused by ionizing radiation. Through modeling the chemical stage of water radiolysis with an explicit consideration of the oxygen effect using gMicroMC, it was found that oxygen significantly reduces the yields of chemical radicals, leading to the formation of highly toxic species. This study demonstrated the practical value of gMicroMC in large scale simulation problems, showing an efficient computational speedup when considering oxygen molecules in the simulation.
Oxygen plays a critical role in determining the initial DNA damages induced by ionizing radiation. It is important to mechanistically model the oxygen effect in the water radiolysis process. However, due to the computational costs from the many body interaction problem, oxygen is often ignored or treated as a constant continuum radiolysis-scavenger background in the simulations using common microscopic Monte Carlo tools. In this work, we reported our recent progress on the modeling of the chemical stage of the water radiolysis with an explicit consideration of the oxygen effect, based upon our initial development of an open-source graphical processing unit (GPU)-based MC simulation tool, gMicroMC. The inclusion of oxygen mainly reduces the yields of e(h) and H-center dot chemical radicals, turning them into highly toxic O-2(center dot-)-HO2 center dot species. To demonstrate the practical value of gMicroMC in large scale simulation problems, we applied the oxygen-simulation-enabled gMicroMC to compute the yields of chemical radicals under a high instantaneous dose rate (D) over dot(i) to study the oxygen depletion hypothesis in FLASH radiotherapy. A decreased oxygen consumption rate (OCR) was found associated with a reduced initial oxygen concentration level due to reduced probabilities of reactions. With respect to dose rate, for the oxygen concentration of 21% and electron energy of 4.5 keV, OCR remained approximately constant (similar to 0.22 mu M Gy(-1)) for D(i')s of 10(6), 10(7) Gys(-1) mu M Gy-1108 Gys(-1), because the increased dose rate improved the mutual reaction frequencies among radicals, hence reducing their reactions with oxygen. We computed the time evolution of oxygen concentration under the FLASH irradiation setups. At the dose rate of 107 Gys(-1) and initial oxygen concentrations from 0.01% to 21%, the oxygen is unlikely to be fully depleted with an accumulative dose of 30 Gy, which is a typical dose used in FLASH experiments. The computational efficiency of gMicroMC when considering oxygen molecules in the chemical stage was evaluated through benchmark work to GEANT4-DNA with simulating an equivalent number of radicals. With an initial oxygen concentration of 3% (similar to 10(5) molecules), a speedup factor of 1228 was achieved for gMicroMC on a single GPU card when comparing with GEANT4-DNA on a single CPU.

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