| 林洁,李永宝,周凌宏,等.基于混合束DNA辐射损伤表征的碳离子放疗细胞生存预测研究[J].中华放射医学与防护杂志,2024,44(12):998-1005.Lin Jie,Li Yongbao,Zhou Linghong,et al.Cell survival prediction in carbon-ion radiotherapy based on DNA radiation damage characterization of mixed beam[J].Chin J Radiol Med Prot,2024,44(12):998-1005 |
| 基于混合束DNA辐射损伤表征的碳离子放疗细胞生存预测研究 |
| Cell survival prediction in carbon-ion radiotherapy based on DNA radiation damage characterization of mixed beam |
| 投稿时间：2024-08-26 |
| DOI：10.3760/cma.j.cn112271-20240826-00323 |
| 中文关键词: 碳离子放疗 细胞生存预测 蒙特卡罗模拟 |
| 英文关键词:Carbon ion radiotherapy Cell survival prediction Monte Carlo simulation |
| 基金项目:国家自然科学基金(82472117);广东省基础与应用基础研究基金(2024A1515011831,2024A1515010820) |
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| 中文摘要: |
| 目的 建立基于DNA辐射损伤模拟的碳离子混合束细胞生存模型,并评估次级粒子对布拉格峰后细胞生存预测的影响。方法 首先使用微观蒙特卡罗DNA辐射损伤模拟代码(MCDS)构建中国仓鼠卵巢细胞(CHO)碳离子及其主要次级粒子DNA双链断裂(DSB)损伤数据库。随后基于DSB损伤数据库和PIDE离体细胞辐射生物学实验数据库拟合并验证单一粒子细胞生存模型。然后使用TOPAS蒙特卡罗代码模拟290 MeV/u临床碳离子束的深度剂量和能谱分布。提出基于预计算的单能粒子DSB损伤数据库的剂量加权方法,并评估次级粒子对布拉格峰后细胞生存预测的影响。结果 本研究建立的模型能准确预测不同辐照条件下的CHO细胞的存活率,采用的剂量加权方法能准确表征碳离子及其各次级粒子混合束辐射损伤特性。H+、He2+、C6+、Ne10+射束照射后的α实验值与模型预测值的均方根误差分别为0.139 2、0.203 9、0.192 0、0.516 9 Gy-1,β的均方根误差分别为0.020 5、0.059 8、0.040 5、0.060 5 Gy-2。模型预测290 MeV/u碳离子布拉格峰和峰后CHO细胞存活率与离体细胞实验测量值误差分别为0.3%±0.24%和2.3%±0.24%。结论 本研究建立了基于DNA辐射损伤模拟的碳离子细胞生存预测模型,通过进一步考虑各次级粒子剂量分布,能够更准确地预测布拉格峰后细胞生存率,有望为碳离子临床治疗中准确评估布拉格峰后等效生物剂量提供参考。 |
| 英文摘要: |
| Objective To develop a prediction model for cell survival under radiation of mixed carbon ion beam based on DNA radiation damage simulation, and to assess the impacts of secondary particles on the cell survival prediction for regions beyond the Bragg peak. Methods First, the Monte Carlo Damage Simulation (MCDS) code was employed to construct a database of DNA double-strand break (DSB) damage induced by carbon ions and their primary secondary particles for Chinese hamster ovary (CHO) cells. Subsequently, models for cell survival under irradiation of single type of particles were established through fitting and were validated based on the DSB damage database and the Particle Irradiation Data Ensemble (PIDE) experimental database of radiation biology for cells in vitro. Then, the TOPAS Monte Carlo code was used to simulate the depth-dose and energy spectrum distributions of 290 MeV/u clinical carbon ion beam. A dose-weighting method based on a precomputed DSB damage database for monoenergetic particles was proposed, and the impacts of secondary particles on cell survival prediction beyond the Bragg peak were assessed. Results The model established in this study accurately predicted the survival rates of CHO cells under different irradiation conditions. Concurrently, the dose-weighting method employed accurately characterized the radiation damage properties of mixed beams of carbon ions and their secondary particles. The root mean square errors (RMSE) of parameter α between the experimental values and model-derived predictions after irradiation using the H+, He2+, C6+, and Ne10+ beams were 0.1392, 0.2039, 0.1920, and 0.5169 Gy-1, respectively, while the RMSEs of parameter β were 0.020 5, 0.059 8, 0.040 5, and 0.060 5 Gy-2, respectively. The discrepancies between model-derived predictions and experimentally measured values of the survival rates of CHO cells at and beyond the Bragg peak after irradiation using 290 MeV/u carbon ion beam were 0.3%±0.24% and 2.3%±0.24%, respectively. Conclusions A prediction model for cell survival under irradiation of carbon ion beam based on DNA radiation damage simulation is developed in this study. By further considering the dose distributions of various secondary particles, the model can more accurately predict cell survival rates beyond the Bragg peak. This study is expected to provide a reference for accurately assessing the equivalent biological dose beyond the Bragg peak in carbon ion clinical radiotherapy. |
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