Hu Ankang, Qiu Rui, Wu Zhen, Zhang Hui, Li Junli
Department of Engineering Physics, Tsinghua University, Beijing, People's Republic of China.
Key Laboratory of Particle & Radiation Imaging, Tsinghua University, Ministry of Education, Beijing, People's Republic of China.
Biomed Phys Eng Express. 2022 Feb 18;8(2). doi: 10.1088/2057-1976/ac52d9.
The mechanism of the FLASH effect remains unclear and could be revealed by studying chemical reactions during irradiation. Monte Carlo simulation of the radiolytic species is an effective tool to analyze chemical reactions, but the simulation is limited by computing costs of the step-by-step simulation of radiolytic species, especially when considering beam with complex time structure. The complexity of the time structure of beams from accelerators in FLASH radiotherapy requires a high-performance Monte Carlo code. In this work, we develop a CPU-GPU coupling accelerating code with the independent reaction times (IRT) method to extend the chemical module of our nanodosimetry Monte Carlo code NASIC. Every chemical molecule in the microenvironment contains time information to consider the reactions from different tracks and simulate beams with complex time structures. Performance test shows that our code significantly improved the computing efficiency of the chemical module by four orders of magnitude. Then the code is used to study the oxygen depletion hypothesis in FLASH radiotherapy for different conditions by setting different parameters. The transient oxygen consumption rate values in the water are calculated when the pulses width ranges from 2 ps to 2s, the total dose ranges from 0.5 Gy to 100 Gy and the initial oxygen concentration ranges from 0.1% to 21%. The time evolution curves are simulated to study the effect of the time structure of an electron linear accelerator. Results show that the total dose in several microseconds is a better indicator reflecting the radiolytic oxygen consumption rate than the dose rate. The initial oxygen greatly affects the oxygen consumption rate because of the reaction competition. The diffusion of oxygen determined by the physiological parameters is the key factor affecting oxygen depletion during the radiation using electron linear accelerators. Our code provides an efficient tool for simulating water radiolysis in different conditions.
FLASH效应的机制尚不清楚,可通过研究辐照过程中的化学反应来揭示。蒙特卡罗模拟辐射分解产物是分析化学反应的有效工具,但该模拟受限于辐射分解产物逐步模拟的计算成本,特别是在考虑具有复杂时间结构的束流时。FLASH放疗中来自加速器的束流时间结构的复杂性需要高性能的蒙特卡罗代码。在这项工作中,我们开发了一种采用独立反应时间(IRT)方法的CPU-GPU耦合加速代码,以扩展我们的纳米剂量学蒙特卡罗代码NASIC的化学模块。微环境中的每个化学分子都包含时间信息,以考虑来自不同径迹的反应并模拟具有复杂时间结构的束流。性能测试表明,我们的代码显著提高了化学模块的计算效率,提高了四个数量级。然后通过设置不同参数,使用该代码研究不同条件下FLASH放疗中的氧消耗假说。当脉冲宽度范围为2皮秒至2秒、总剂量范围为0.5戈瑞至100戈瑞、初始氧浓度范围为0.1%至21%时,计算水中的瞬态氧消耗率值。模拟时间演化曲线以研究电子直线加速器时间结构的影响。结果表明,几微秒内的总剂量比剂量率更能反映辐射分解氧消耗率。由于反应竞争,初始氧对氧消耗率有很大影响。由生理参数决定的氧扩散是影响使用电子直线加速器进行辐射期间氧消耗的关键因素。我们的代码为模拟不同条件下的水辐射分解提供了一种有效的工具。