放射治疗的数学建模:模型选择对估计瘤控制最低辐射剂量的影响
Achyudhan R Kutuva1,2, Jimmy J Caudell3, Kosj Yamoah3
1Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, United States.
Frontiers in oncology
|October 30, 2023
概括
个性化放射治疗 (RT) 需要了解瘤反应模型. 两个模型显示辐射敏感性影响RT剂量,但在扩散和指数影响上有所不同,突出显示需要选择正确的剂量个性化模型.
科学领域:
- 辐射瘤学 辐射瘤学
- 数学建模的数学建模
- 癌症生物学 癌症生物学
背景情况:
- 目前的放射治疗 (RT) 实践缺乏个性化剂量,尽管患者在放射敏感性和治疗反应方面存在差异.
- 数学建模可以模拟瘤体积动态,并估计个性化RT剂量.
- 了解RT反应模型对于准确的个性化剂量计算至关重要.
研究的目的:
- 评估两个不同的RT反应模型对剂量个性化的数学和生物学影响.
- 为了比较细胞毒性 (DVR) 与瘤微环境 (CCR) 模型对RT剂量要求的影响.
- 根据不同的模型假设,确定局部区域瘤控制 (LRC) 的最小RT剂量.
主要方法:
- 模拟的后勤瘤生长与前治疗动态描述的增殖和指数 (PSI).
- 使用两个方法建模RT效应:直接瘤体积减小 (DVR) 和瘤承载能力减小 (CCR).
- 对瘤生长速度和放射敏感性进行了参数扫描,在各种场景中计算LRC的最小RT剂量.
主要成果:
- 两种模型都表明,较高的辐射敏感性需要较低的RT剂量用于LRC.
- 视频录像机模型预测更高的PSI需要更高的RT剂量用于LRC.
- CCR模型预测较高的PSI需要较低的RT剂量LRC,与DVR模型形成鲜明对比.
结论:
- 选择RT反应模型显著影响个性化剂量计算.
- 在实施个性化RT建议之前,准确的瘤生长和治疗反应建模是必不可少的.
- 需要进一步的研究来确定哪种模型在特定的临床环境中最好地代表瘤行为.
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