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放射治疗和免疫治疗之间的协同效应的数学建模

Yixun Xing^1,2, Casey Moore³, Debabrata Saha³

¹Medical Artificial Intelligence and Automation Laboratory, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

Mathematical biosciences and engineering : MBE

|April 29, 2025

概括

个性化超分离立体自适应辐射 (PULSAR) 疗法通过优化放射治疗和免疫治疗时间来增强瘤控制. 辐射脉冲之间的较长间隔显著改善了治疗结果,正如我们的预测模型所证明的那样.

科学领域:

在瘤学瘤学.
辐射瘤学辐射瘤学
免疫学免疫学免疫学

背景情况:

放射治疗和免疫治疗的协同作用对于改善瘤控制至关重要.
个性化超分断立体自适应辐射 (PULSAR) 疗法探讨了辐射时间的影响.
了解时间动态是优化综合治疗的关键.

研究的目的:

研究放射治疗和免疫治疗之间的协同作用机制.
评估新的PULSAR治疗方法,重点关注辐射时间.
开发一个量化模型,将辐射疗法和免疫疗法联系起来.

主要方法:

开发了一个离散时间模型,使用基于小动物辐射研究的差异方程.
纳入瘤微环境中的T细胞迁移和透动态.
估计模型参数使用模拟回火并与测试数据验证.

主要成果:

该模型准确地预测了瘤控制,根平均平方误差为287mm3.
复制了PULSAR效应,显示辐射脉冲之间的较长间隔可以通过免疫疗法加强瘤控制.
在接受免疫治疗的小鼠中观察到显著改善的瘤反应,每隔十天用辐射脉冲进行免疫治疗.

结论:

治疗时间对于最大限度地提高放射治疗和免疫治疗协同作用至关重要.
开发的in-silico模型可以帮助设计个性化的放射治疗试验.
这些发现突显了针对个性化癌症护理优化治疗计划的潜力.

关键词:

透T细胞的透情况在T细胞迁移过程中,免疫疗法免疫疗法数学建模的数学建模个性化的超分离立体感适应性辐射疗法 (PULSAR)

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