辐射食道炎的多原子随机森林毒性建模
Saurabh S Nair1, Ramon M Salazar1, Ting Xu2
1Departments of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Physics and imaging in radiation oncology
|October 13, 2025
概括
多核特征,包括放射性和剂量核数据,显著改善了对非小细胞肺癌 (NSCLC) 患者高度辐射食道炎 (RE) 的预测. 结合的放射性-二氧化物模型显示出比传统方法更好的性能.
科学领域:
- 在瘤学瘤学.
- 辐射疗法 辐射疗法
- 医疗成像医学成像
背景情况:
- 辐射食道炎 (RE) 是非小细胞肺癌 (NSCLC) 放射治疗中的关键剂量限制毒性.
- 使用临床因素和剂量-体积图谱 (DVH) 的传统预测模型存在局限性.
- 多原子特征为增强预测高等级的可再生能源提供了潜力.
研究的目的:
- 在NSCLC患者中研究多组特征对高等级RE的预测效用.
- 将多原子模型的性能与使用临床和DVH参数的基准模型进行比较.
- 评估放射性和剂量学特征在RE毒性预测中的附加值.
主要方法:
- 分析了179名NSCLC患者,其中27名患有≥3级RE.
- 提取了343个基于CT和PET的放射性和剂量学特征.
- 使用随机森林分类构建了四种模型 (基础模型,放射性模型,剂量模型,组合模型),并使用AUC和AUPRC进行评估.
主要成果:
- 所有多原子模型的表现都超过了基本的DVH模型.
- 综合放射性-二氧化物模型实现了最高的预测性能 (AUC: 0.75 ± 0.10,AUPRC: 0.49 ± 0.14).
- 组合模型显示了比基准模型的统计学上显著的改善.
结论:
- 多原子特征,特别是放射和剂量原子数据的组合,显著提高了预测高等级的可再生能源.
- 开发的综合模型为可再生能源风险分层提供了新的见解.
- 这些发现可以为NSCLC放射治疗中的个性化治疗规划和毒性减轻策略提供信息.
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