整合放射学,病理学和活检适应免疫评分,用于预测局部晚期直肠癌的远程转移
1Departments of Diagnositic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
ESMO open
|February 14, 2025
概括
一种新型的诺米图准确地预测了接受新辅助化疗或放射治疗 (nCRT) 的局部晚期直肠癌 (LARC) 患者的远程转移. 它整合了放射学,病理学和活检适应的免疫评分 (ISB) 进行有效的风险分层.
科学领域:
- 在瘤学瘤学.
- 放射学 放射学是一门学科.
- 病理学 病理学 病理学
背景情况:
- 局部晚期直肠癌 (LARC) 给治疗和预后带来了挑战.
- 在接受新辅助化学放射治疗 (nCRT) 的LARC患者中预测远程转移 (DM) 对个性化治疗策略至关重要.
研究的目的:
- 开发和验证用于预测LARC患者在nCRT后的DM的nomogram.
- 整合放射学,病理学和活检适应免疫评分 (ISB) 以提高预测准确度.
主要方法:
- 从ADC地图和T2加权图像中利用放射学.
- 从H&E染色的活检幻灯片中提取了病理 (全球和本地模式).
- 使用CD3+和CD8+T细胞密度通过免疫组织化学计算ISB.
- 使用LASSO-Cox分析构建了一个预测模型,用AUC和C指数进行评估.
主要成果:
- 低的ISB与更高的放射性和病理性风险得分相关.
- 诺米图实现了高性能:C指数为0.902 (训练) 和0.848 (测试),AUC为0.950 (训练) 和0.872 (测试),为5年无DM生存期.
- 该名录有效地将患者分为DM低风险和高风险组.
结论:
- 综合放射学和病理特征的诺米图谱为用nCRT治疗的LARC患者提供了有效的基线风险分层.
- 这种工具有助于预测远程转移并优化治疗决策.
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