在NSCLC免疫治疗反应预测纵向放射学中CT协调的影响
Benito Farina1, Gonzalo Vegas-Sánchez-Ferrero2, Ana Delia Ramos-Guerra1
1Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, 28040, Madrid, Spain; Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Instituto de Salud Carlos III, Madrid, Madrid, Spain.
Computers in biology and medicine
|January 30, 2026
概括
这项研究协调了肺癌 (NSCLC) CT 扫描中的放射性特征,以改善免疫治疗反应的预测. 新的管道提高了跨机构和时间的功能可靠性,提高了预测准确性.
科学领域:
- 医学成像医学成像
- 无线电学 (Radiomics) 是一种放射学.
- 计算瘤学是一种计算瘤学.
背景情况:
- 非小细胞肺癌 (NSCLC) 的放射性特征表现出因不同机构的CT获取参数不同而存在变化.
- 这种变异性阻碍了对免疫疗法反应的可靠预测模型的开发.
研究的目的:
- 开发和验证NSCLC患者纵向CT扫描中的放射性特征的协调管道.
- 提高免疫疗法反应的放射性模型的稳定性,时间一致性和预测性能.
主要方法:
- 从多机构的NSCLC队列中对抗PD-1/PD-L1药物治疗的纵向CT扫描的分析.
- 应用图像协调,然后使用NestedComBat进行特征协调,以减少与收购相关的变化.
- 评估跨机构的特征稳定性和使用类内相关系数 (ICC) 的纵向扫描.
主要成果:
- 协调管道显著减少了对收购混因子的特征依赖,从78.8%降至12.8%.
- 图像协调显著改善了特征稳定性 (平均 ΔICC = +0.021),组合方法也提高了纵向可靠性 (ΔICC = +0.014).
- 协调改善了预测6个月免疫治疗反应的曲线下的面积 (AUC),从0.695到0.768 (内部) 和0.692到0.802 (外部).
结论:
- 结合图像和特征级协调,可以提高放射性特征的稳定性和时间一致性.
- 这种方法支持在不同的临床环境中对NSCLC免疫疗法反应进行更可靠和更普遍的预测建模.
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