Application of phase space file secondary computation method in cell dose distribution

IF 2.8 3区物理与天体物理 Q3 CHEMISTRY, PHYSICAL

Radiation Physics and Chemistry Pub Date : 2024-10-15 DOI:10.1016/j.radphyschem.2024.112301

Jiahao Guo , Xinlei Li , Yidi Wang, Han Gao, Xianghui Kong, Tao Wu, Xinjie Wang, Kaijin Yan, WenYue Zhang, YuChen Yin, Jianping Cao, Yang Jiao, Liang Sun

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引用次数: 0

Abstract

Phase space files can store the particle information in one or more planes of radiation particles simulated by the Monte Carlo (MC) method. The secondary calculation method based on phase space files is commonly used to improve the efficiency of MC simulations. However, it is still unclear whether phase space files are applicable for microdosimetric evaluations. In this study, voxel-type and mesh-type monolayer cell population models of different sizes were constructed, and phase space files of secondary electrons generated by photons with different initial energies were obtained using the MC software -- PHITS. The overall average dose caused by the secondary electron phase space files in the region of interest and their microdosimetric distribution within cells were calculated and compared with the results caused by the initial photons under the same geometric conditions. The results showed that the adoption of secondary electron phase space files had almost no impact on the evaluation of macroscopic average dose, with deviations lower than 3% compared to the overall dose caused by the initial photons in the Petri dish. For microdosimetric distributions of the voxel-type model and the two different morphologies of mesh-type cell models, with a macroscopic accumulated dose of 1 mGy, the relative deviation of the cell dose distribution generated by the initial photons and the phase space files was below 10% and the total computation time of phase space files was below 2% of initial photon's. For accumulated doses of 10, 50, and 100 mGy, the relative deviation of the cell nucleus specific energy obtained by secondary electrons and initial photons was greater than 10%. As the size of the culture dish increased, the differences in cell dose distributions also increased, with the root mean square error (RMSE) and coefficient of variation (

C_{v}

) of dose distributions both exceeding 30%. In conclusion, this study assessed the effectiveness of the secondary calculation method utilizing phase space files for dose evaluation at the cellular scale. This research offers essential technical support and theoretical foundations for the utilization of this approach in microdosimetric investigations at the cellular level.

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相空间文件二次计算法在细胞剂量分配中的应用

相空间文件可以存储用蒙特卡罗（MC）方法模拟的辐射粒子的一个或多个平面的粒子信息。基于相空间文件的二次计算方法通常用于提高 MC 模拟的效率。然而，相空间文件是否适用于微剂量测定评估仍不清楚。本研究构建了不同大小的体素型和网格型单层细胞群模型，并利用 MC 软件 PHITS 获得了不同初始能量的光子产生的二次电子的相空间文件。计算了二次电子相空间文件在相关区域造成的总平均剂量及其在细胞内的微剂量分布，并与相同几何条件下初始光子造成的结果进行了比较。结果表明，采用二次电子相空间文件对宏观平均剂量的评估几乎没有影响，与培养皿中初始光子造成的总剂量相比，偏差低于3%。对于体细胞模型和两种不同形态的网状细胞模型的微观模拟分布，在宏观累积剂量为1 mGy时，初始光子和相空间文件产生的细胞剂量分布的相对偏差低于10%，相空间文件的总计算时间低于初始光子的2%。在累积剂量为 10、50 和 100 mGy 时，二次电子和初始光子获得的细胞核比能量的相对偏差大于 10%。随着培养皿尺寸的增大，细胞剂量分布的差异也在增大，剂量分布的均方根误差（RMSE）和变异系数（Cv）都超过了 30%。总之，本研究评估了利用相空间文件进行细胞尺度剂量评估的二次计算方法的有效性。这项研究为在细胞级微剂量测定研究中使用这种方法提供了重要的技术支持和理论基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Radiation Physics and Chemistry 化学-核科学技术

CiteScore

5.60

自引率

17.20%

发文量

574

审稿时长

12 weeks

期刊介绍： Radiation Physics and Chemistry is a multidisciplinary journal that provides a medium for publication of substantial and original papers, reviews, and short communications which focus on research and developments involving ionizing radiation in radiation physics, radiation chemistry and radiation processing. The journal aims to publish papers with significance to an international audience, containing substantial novelty and scientific impact. The Editors reserve the rights to reject, with or without external review, papers that do not meet these criteria. This could include papers that are very similar to previous publications, only with changed target substrates, employed materials, analyzed sites and experimental methods, report results without presenting new insights and/or hypothesis testing, or do not focus on the radiation effects.