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一个边缘结构模型用于正常组织并发症概率
Thai-Son Tang1, Zhihui Liu1,2, Ali Hosni2,3
1Dalla Lana School of Public Health, University of Toronto, 155 College Street, Toronto, Ontario M5T 3M7, Canada.
Biostatistics (Oxford, England)
|July 9, 2024
概括
本研究介绍了放射治疗中正常组织并发症概率 (NTCP) 建模的因果框架. 它提供了评估治疗计划安全性的新方法,考虑剂量和体积对毒性风险的影响.
科学领域:
- 辐射瘤学 辐射瘤学
- 医学物理 医学物理
- 生物统计学 生物统计学
背景情况:
- 放射治疗的目的是最大限度地提高瘤剂量,同时保护健康的组织.
- 剂量-体积组图 (DVHs) 总结了用于治疗计划评估的器官剂量分布.
- 目前的正常组织并发症概率 (NTCP) 模型主要预测患者从DVH特征的风险.
研究的目的:
- 开发一种因果推理框架,用于评估替代性放射治疗治疗计划的安全性.
- 为NTCP提出新的因果估计和估计器.
- 研究这些方法在道癌症放射治疗中的应用.
主要方法:
- 建议使用确定性和随机干预进行NTCP的因果估计.
- 开发了基于边际结构模型的估计器.
- 在剂量,体积和毒性风险之间强加的双变单调性.
- 进行模拟以研究估计器属性.
主要成果:
- 拟议的因果关系框架为评估治疗计划安全性提供了一种新方法.
- 模拟证明了开发的估计器的属性.
- 这些方法用道癌症放射治疗的患者数据来说明.
结论:
- 因果推断为评估放射治疗治疗计划安全性提供了一个强大的方法,超出了传统的NTCP建模.
- 提出的边际结构模型和估计器可以改善对剂量-体积毒性关系的评估.
- 这种方法对优化放射治疗和减少正常组织并发症有潜在的影响.
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