胰腺癌中125I粒子植入治疗和PD-L1抑制剂治疗的数学模型OA
Mathematical Model of 125 I Seed Implantation Therapy and PD-L1 Inhibitor Therapy in Pancreatic Cancer
本文构建了胰腺癌 125 I放射性粒子植入疗法与PD-L1 抑制剂联合治疗的偏微分方程模型.为更精确地描述胰腺癌治疗过程,模型引入了胶原纤维对药物输运的调控机制.考虑到放射性粒子的时间衰减特性与空间剂量分布特征,本文重构了放疗项的数学表达,将其从常数函数拓展为时空依赖函数.通过对比中心重叠、边缘对称、中间对称及分层分布4 种放射源配置,分析了剂量分布差异对疗效的影响.数值模拟结果表明:在单一放疗条件下,分层分布配置抑制肿瘤效果最优;此外,在PD-L1 抑制剂治疗基础上,联合治疗效果差异最大的两种放射源配置(中心重叠与分层分布配置)进行粒子植入治疗,均能呈现显著的协同效应.
This study develops a partial differential equation(PDE)model to investigate the combined therapeutic effects of 125 I seed implantation and PD-L1 inhibitors for pancreatic cancer.The model incorporates the regulatory role of collagen fibers on drug transport to enhance the accuracy of simulating the treatment process.Accounting for the temporal decay characteristics and spatial dose distribution features of radioactive particles,we reformulate the mathematical expression of the radiotherapy term,evolving it from a constant function to a spatiotemporal-dependent function.The impact of dose distribution on treatment efficacy is analyzed by comparing four spatial configurations of radioactive sources:central overlapping,edge symmetry,intermediate symmetry,and layered distribution.Numerical simulations indicate that the layered distribution yields the optimal tumor suppression effect under radiotherapy alone.Moreover,when combined with PD-L1 inhibitor therapy,both the central overlapping and layered configurations—which exhibited the most divergent efficacies in monotherapy—demonstrate significant synergistic effects.
亓菲;刘海蓉
南京理工大学 数学与统计学院,江苏 南京 210094南京理工大学 数学与统计学院,江苏 南京 210094
数理科学
肿瘤生长数学模型粒子植入治疗放射源配置
tumor growthmathematical modelseed implantation therapyradiation source configuration
《辽宁大学学报(自然科学版)》 2026 (1)
28-40,13
国家自然科学基金(12471198)南京理工大学研究生教育教学改革课题(KT2024C10)
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