TOPAS-nBio validation for simulating water radiolysis and DNA damage under low-LET irradiation

Autor: Harald Paganetti, Sebastien Incerti, Bruce A. Faddegon, J A LaVerne, K Stefanová, N. Dominguez-Kondo, Václav Štěpán, J Perl, Aimee L. McNamara, José Ramos-Méndez, W-G Shin, Jan Schuemann, Carmen Villagrasa, Jamie R. Milligan, Yann Perrot
Přispěvatelé: Centre d'Etudes Nucléaires de Bordeaux Gradignan (CENBG), Université Sciences et Technologies - Bordeaux 1-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)
Rok vydání: 2021
Předmět:
Materials science
Clinical Sciences
Monte Carlo method
Biomedical Engineering
Analytical chemistry
Radiation chemistry
7. Clean energy
Article
Dissociation (chemistry)
radiation chemistry
030218 nuclear medicine & medical imaging
Reaction rate
03 medical and health sciences
plasmid DNA
0302 clinical medicine
Affordable and Clean Energy
Ionization
Linear Energy Transfer
Computer Simulation
Radiology
Nuclear Medicine and imaging

ComputingMilieux_MISCELLANEOUS
validation
Geant4-DNA
Radiological and Ultrasound Technology
Water
track structure
Other Physical Sciences
Nuclear Medicine & Medical Imaging
Chemical species
030220 oncology & carcinogenesis
Yield (chemistry)
Radiolysis
[PHYS.PHYS.PHYS-MED-PH]Physics [physics]/Physics [physics]/Medical Physics [physics.med-ph]
DNA damage
TOPAS-nBio
Monte Carlo Method
DNA Damage
Zdroj: Physics in medicine and biology, vol 66, iss 17
Phys Med Biol
Physics in Medicine and Biology
Physics in Medicine and Biology, IOP Publishing, 2021, 66 (17), pp.175026. ⟨10.1088/1361-6560/ac1f39⟩
ISSN: 1361-6560
0031-9155
DOI: 10.1088/1361-6560/ac1f39
Popis: The chemical stage of the Monte Carlo track-structure simulation code Geant4-DNA has been revised and validated. The root-mean-square (RMS) empirical parameter that dictates the displacement of water molecules after an ionization and excitation event in Geant4-DNA has been shortened to better fit experimental data. The pre-defined dissociation channels and branching ratios were not modified, but the reaction rate coefficients for simulating the chemical stage of water radiolysis were updated. The evaluation of Geant4-DNA was accomplished with TOPAS-nBio. For that, we compared predicted time-dependent G values in pure liquid water for (•)OH, e(−)(aq), and H(2) with published experimental data. For H(2)O(2) and H(•), simulation of added scavengers at different concentrations resulted in better agreement with measurements. In addition, DNA geometry information was integrated with chemistry simulation in TOPAS-nBio to realize reactions between radiolytic chemical species and DNA. This was used in the estimation of the yield of single-strand breaks (SSB) induced by (137)Cs γ-ray radiolysis of supercoiled pUC18 plasmids dissolved in aerated solutions containing DMSO. The efficiency of SSB induction by reaction between radiolytic species and DNA used in the simulation was chosen to provide the best agreement with published measurements. An RMS displacement of 1.24 nm provided agreement with measured data within experimental uncertainties for time-dependent G values and under the presence of scavengers. SSB efficiencies of 24% and 0.5% for (•)OH and H(•), respectively, led to an overall agreement of TOPAS-nBio results within experimental uncertainties. The efficiencies obtained agreed with values obtained with published non-homogeneous kinetic model and step-by-step Monte Carlo simulations but disagreed by 12% with published direct measurements. Improvement of the spatial resolution of the DNA damage model might mitigate such disagreement. In conclusion, with these improvements, Geant4-DNA/TOPAS-nBio provides a fast, accurate, and user-friendly tool for simulating DNA damage under low LET irradiation.
Databáze: OpenAIRE