Ramos-Méndez José, Shin Wook-Geun, Karamitros Mathieu, Domínguez-Kondo Jorge, Tran Ngoc Hoang, Incerti Sebastien, Villagrasa Carmen, Perrot Yann, Štěpán Václav, Okada Shogo, Moreno-Barbosa Eduardo, Faddegon Bruce
Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, 94115, USA.
Centre d'Études Nucléaires de Bordeaux Gradignan, Université de Bordeaux, CNRS/IN2P3, UMR5797, Gradignan, 33175, France.
Med Phys. 2020 Nov;47(11):5919-5930. doi: 10.1002/mp.14490. Epub 2020 Oct 15.
The simulation of individual particle tracks and the chemical stage following water radiolysis in biological tissue is an effective means of improving our knowledge of the physico-chemical contribution to the biological effect of ionizing radiation. However, the step-by-step simulation of the reaction kinetics of radiolytic species is the most time-consuming task in Monte Carlo track-structure simulations, with long simulation times that are an impediment to research. In this work, we present the implementation of the independent reaction times (IRT) method in Geant4-DNA Monte Carlo toolkit to improve the computational efficiency of calculating G-values, defined as the number of chemical species created or lost per 100 eV of deposited energy.
The computational efficiency of IRT, as implemented, is compared to that from available Geant4-DNA step-by-step simulations for electrons, protons and alpha particles covering a wide range of linear energy transfer (LET). The accuracy of both methods is verified using published measured data from fast electron irradiations for OH and for time-dependent G-values. For IRT, simulations in the presence of scavengers irradiated by cobalt-60 γ-ray and 2 MeV protons are compared with measured data for different scavenging capacities. In addition, a qualitative assessment comparing measured LET-dependent G-values with Geant4-DNA calculations in pure liquid water is presented.
The IRT improved the computational efficiency by three orders of magnitude relative to the step-by-step method while differences in G-values by 3.9% at 1 μs were found. At 7 ps, OH and yields calculated with IRT differed from recent published measured data by 5% ± 4% and 2% ± 4%, respectively. At 1 μs, differences were 9% ± 5% and 6% ± 7% for OH and , respectively. Uncertainties are one standard deviation. Finally, G-values at different scavenging capacities and LET-dependent G-values reproduced the behavior of measurements for all radiation qualities.
The comprehensive validation of the Geant4-DNA capabilities to accurately simulate the chemistry following water radiolysis is an ongoing work. The implementation presented in this work is a necessary step to facilitate performing such a task.
模拟生物组织中单个粒子径迹以及水辐射分解后的化学阶段,是增进我们对电离辐射生物效应的物理化学贡献了解的有效手段。然而,在蒙特卡罗径迹结构模拟中,对辐射分解产物反应动力学进行逐步模拟是最耗时的任务,模拟时间过长阻碍了研究进展。在本工作中,我们展示了在Geant4-DNA蒙特卡罗工具包中实现独立反应时间(IRT)方法,以提高计算G值的效率,G值定义为每沉积100 eV能量所产生或损失的化学物种数量。
将实现后的IRT计算效率与Geant4-DNA中针对电子、质子和α粒子的现有逐步模拟的计算效率进行比较,这些粒子涵盖了广泛的线能量转移(LET)范围。使用快速电子辐照下关于·OH和随时间变化的G值的已发表测量数据,验证两种方法的准确性。对于IRT,将在存在清除剂的情况下钴-60γ射线和2 MeV质子辐照的模拟结果与不同清除能力的测量数据进行比较。此外,还给出了将测量的LET相关G值与纯液态水中Geant4-DNA计算结果进行比较的定性评估。
与逐步方法相比,IRT将计算效率提高了三个数量级,同时发现在1 μs时G值的差异为3.9%。在7 ps时,用IRT计算的·OH和H₂O₂产率与最近发表的测量数据分别相差5%±4%和2%±4%。在1 μs时,·OH和H₂O₂的差异分别为9%±5%和6%±7%。不确定性为一个标准差。最后,不同清除能力下的G值和LET相关G值再现了所有辐射品质下测量结果的行为。
对Geant4-DNA准确模拟水辐射分解后化学过程能力的全面验证工作仍在进行中。本工作中展示的实现是促进执行此类任务的必要步骤。