多机构普通组织并发症概率 (NTCP) 预测模型用于下骨放射性瘤:来自PREDMORN研究的结果
Laia Humbert-Vidan1, Christian R Hansen2, Steven Petit3
1Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Medical Physics, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom; School of Cancer and Pharmaceutical Sciences, King's College London, London, United Kingdom.
International journal of radiation oncology, biology, physics
|February 5, 2026
概括
这项研究开发了最大的多机构模型,用于在放射治疗 (RT) 后预测头癌 (HNC) 患者的骨质放射缩 (ORN) 风险. PREDMORN模型显示出良好的通用性,有助于风险评估和患者护理.
科学领域:
- 在瘤学瘤学.
- 辐射瘤学 辐射瘤学
- 口腔和牙面部外科手术
背景情况:
- 骨质放射性死 (ORN) 是头癌 (HNC) 的放射治疗 (RT) 后的一种严重并发症.
- ORN显著影响患者的生活质量,并需要昂贵的治疗.
- 目前存在的ORN预测模型由于其单一机构性质而存在普遍性限制.
研究的目的:
- 开发和验证最大的多机构正常组织并发症概率 (NTCP) 模型,用于预测下 ORN 风险.
- 将结果与之前的单一机构研究进行比较,使用全球最多样化的下 ORN 队列.
- 确定ORN的关键临床,人口和剂量测量预测因素.
主要方法:
- 对来自8所机构的3928名HNC患者 (622例ORN病例) 进行了回顾性分析.
- 开发了任何级别的ORN的预测模型,使用前进阶段物流回归.
- 该模型经过内部验证,并在匹配和基于人口的队列上进行外部测试.
主要成果:
- 确定ORN的关键预测因素包括D30%,V70Gy,RT前的拔牙和吸烟状态.
- 开发的ORN NTCP模型展示了强大的校准和在验证后改善的歧视.
- 对大量基于人口的队列进行外部验证证实了该模型的良好通用性.
结论:
- PREDMORN NTCP模型代表了一项重要的多机构努力,用于预测HNC患者的ORN风险.
- 该模型的可通用性通过对大量基于人口的队列进行外部验证而得到证实.
- 这些发现与当前的临床指导方针一致,并支持先前的单一机构研究结果.
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