Shin Wook-Geun, D-Kondo J Naoki, Ramos-Méndez José, LaVerne Jay A, Rothwell Bethany, Bertolet Alejandro, McNamara Aimee, Faddegon Bruce, Paganetti Harald, Schuemann Jan
Physics Division, Department of Radiation Oncology, Massachusetts General Hospital & Harvard Medical School, Boston, MA 02114, United States of America.
Department of Radiation Oncology, University of California San Francisco Comprehensive Cancer Center, San Francisco, CA 94115, United States of America.
Phys Med Biol. 2024 Dec 24;70(1). doi: 10.1088/1361-6560/ad9ce2.
TOPAS-nBio enables users to simulate dose rate-dependent radiation chemical yields in water radiolysis accounting for inter-track and long-term chemistry for pulsed irradiation. This study aims to extend the TOPAS-nBio chemistry for the special case of continuous high-dose rate scenario, where both intertrack and longer time reactions need to be considered, and to quantitatively validate the extended framework by comparing the results with experimental data.The inter-track chemistry and escape-values were first evaluated by the independent reaction time method. The escaping molecules were assumed to have a temporally continuous distribution based on the-values using the Gillespie algorithm. The simulation results were comprehensively validated by comparing with the experimental data at different dose rates, temporal pulse shapes, and solutions. In addition, the influence of various factors, such as the chemistry model, simulation volume, temperature, pH concentration, and organic carbon contamination, was evaluated.The validation results showed that the HOconcentration and Oconsumption increased with dose rate, and agreed within 3% with experimental data. Computational factors related to the chemistry model and volume size were negligible. pH and temperature had an impact of less than 10% in the experimental range. The presence of organic carbon and resulting reactions doubled HOyields and significantly increased Oconsumption by about an order of magnitude at lower dose rates, while the results are almost unchanged at higher dose rates. Consequently, the dose rate dependence of HOyields and Oconsumption were reversed at a certain organic carbon concentration compared to the pure water results.The extended TOPAS-nBio chemistry framework enables the reproduction of the dose-rate dependent radiation chemical yields of several experimental studies at different dose rates, temporal pulse shapes, and solutions. This new functionality is necessary to investigate recent high dose rate (FLASH) experimental results.
TOPAS-nBio使用户能够模拟水辐射分解中剂量率依赖的辐射化学产率,同时考虑脉冲辐照的径迹间和长期化学过程。本研究旨在针对连续高剂量率情况扩展TOPAS-nBio化学过程,在此情况下,径迹间反应和更长时间的反应都需要考虑,并通过将结果与实验数据进行比较来定量验证扩展框架。首先通过独立反应时间方法评估径迹间化学过程和逸出值。基于使用 Gillespie 算法的逸出值,假设逸出分子具有时间上连续的分布。通过与不同剂量率、时间脉冲形状和溶液条件下的实验数据进行比较,全面验证了模拟结果。此外,还评估了各种因素的影响,如化学模型、模拟体积、温度、pH值、浓度和有机碳污染。验证结果表明,羟基自由基(HO)浓度和氧气消耗随剂量率增加,并且与实验数据的偏差在3%以内。与化学模型和体积大小相关的计算因素可忽略不计。在实验范围内,pH值和温度的影响小于10%。在较低剂量率下,有机碳的存在及其引发的反应使羟基自由基产率翻倍,并使氧气消耗显著增加约一个数量级,而在较高剂量率下结果几乎不变。因此,与纯水结果相比,在一定有机碳浓度下,羟基自由基产率和氧气消耗的剂量率依赖性发生了反转。扩展后的TOPAS-nBio化学框架能够重现不同剂量率、时间脉冲形状和溶液条件下多项实验研究中剂量率依赖的辐射化学产率。这种新功能对于研究近期的高剂量率(FLASH)实验结果是必要的。