State Key Laboratory of Radiation Medicine and Protection, Suzhou, China.
School of Radiation Medicine and Protection, Soochow University, Suzhou, China.
Radiat Res. 2023 Aug 1;200(2):176-187. doi: 10.1667/RADE-23-00020.1.
The mesh-type models are superior to voxel models in cellular dose assessment coupled with Monte Carlo codes. The aim of this study was to expand the micron-scale mesh-type models based on the fluorescence tomography of real human cells, and to investigate the feasibility of these models in the application of various irradiation scenarios and Monte Carlo codes. Six different human cell lines, including pulmonary epithelial BEAS-2B, embryonic kidney 293T, hepatocyte L-02, B-lymphoblastoid HMy2.CIR, Gastric mucosal GES-1, and intestine epithelial FHs74Int, were adopted for single mesh-type models reconstruction and optimization based on laser confocal tomography images. Mesh-type models were transformed into the format of polygon mesh and tetrahedral mesh for the GATE and PHITS Monte Carlo codes, respectively. The effect of model reduction was analyzed by dose assessment and geometry consideration. The cytoplasm and nucleus doses were obtained by designating monoenergetic electrons and protons as external irradiation, and S values with different "target-source" combinations were calculated by assigning radioisotopes as internal exposure. Four kinds of Monte Carlo codes were employed, i.e., GATE with "Livermore," "Standard" and "Standard and Geant4-DNA mixed" models for electrons and protons, as well as PHITS with "EGS" mode for electrons and radioisotopes. Multiple mesh-type real human cellular models can be applied to Monte Carlo codes directly without voxelization when combined with certain necessary surface reduction. Relative deviations between different cell types were observed among various irradiation scenarios. The relative deviation of nucleus S value reaches up to 85.65% between L-02 and GES-1 cells by 3H for the "nucleus-nucleus" combination, while that of 293T and FHs74Int nucleus dose for external beams at a 5.12 cm depth of water is 106.99%. Nucleus with smaller volume is far more affected by physical codes. There is a considerable deviation for dose within BEAS-2B at the nanoscale. The multiple mesh-type real cell models were more versatile than voxel models and mathematical models. The present study provided several models which can easily be extended to other cell types and irradiation scenarios for RBE estimations and biological effect predictions, including radiation biological experiments, radiotherapy and radiation protection.
基于真实人体细胞荧光断层成像的微米级网格型模型扩展及其在不同照射场景和 Monte Carlo 代码中的适用性研究
网格型模型在与 Monte Carlo 代码结合进行细胞剂量评估方面优于体素模型。本研究的目的是基于真实人体细胞荧光断层成像扩展微米级网格型模型,并研究这些模型在各种照射场景和 Monte Carlo 代码中的适用性。基于激光共聚焦断层成像图像,我们对六种不同的人体细胞系(包括肺上皮 BEAS-2B、胚胎肾 293T、肝细胞 L-02、B 淋巴细胞系 HMy2.CIR、胃黏膜 GES-1 和肠上皮 FHs74Int)进行了单个网格型模型的重建和优化。然后,将网格型模型转换为多边形网格和四面体网格格式,以便分别在 GATE 和 PHITS Monte Carlo 代码中使用。通过剂量评估和几何形状考虑分析模型简化的效果。通过指定单能电子和质子作为外照射,以及通过指定放射性同位素作为内照射计算不同“靶源”组合的 S 值,获得细胞质和核剂量。我们使用了四种 Monte Carlo 代码,即 GATE 中的“Livermore”、“Standard”和“Standard 和 Geant4-DNA 混合”模型(用于电子和质子),以及 PHITS 中的“EGS”模式(用于电子和放射性同位素)。当与某些必要的表面简化相结合时,多种真实人体细胞的网格型模型可以直接应用于 Monte Carlo 代码,而无需进行体素化。在各种照射场景下,不同细胞类型之间观察到相对偏差。对于“核核”组合的 3H,L-02 和 GES-1 细胞之间的核 S 值的相对偏差高达 85.65%,而对于外照射束在 5.12cm 水深处的 293T 和 FHs74Int 核剂量的相对偏差为 106.99%。体积较小的核受物理代码的影响更大。在纳米尺度上,BEAS-2B 内的剂量存在相当大的偏差。与体素模型和数学模型相比,多网格型真实细胞模型具有更高的通用性。本研究提供了几种模型,这些模型可以很容易地扩展到其他细胞类型和照射场景,用于 RBE 估计和生物效应预测,包括辐射生物学实验、放射治疗和辐射防护。