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中华肺部疾病杂志(电子版) ›› 2021, Vol. 14 ›› Issue (05) : 614 -616. doi: 10.3877/cma.j.issn.1674-6902.2021.05.017

临床研究

CT放射组学对NSCLC患者抗PD-L1疗效分析
任德标1, 周丽娟1, 林智刚1, 刘威宏1,()   
  1. 1. 363000 漳州,中国人民解放军联勤保障部队第九〇九医院医学影像科
  • 收稿日期:2021-04-03 出版日期:2021-10-25
  • 通信作者: 刘威宏

Effect of CT radiometrics on anti-PD-L1 in patients with non-small cell lung cancer

Debiao Ren1, Lijuan Zhou1, Zhigang Lin1   

  • Received:2021-04-03 Published:2021-10-25
引用本文:

任德标, 周丽娟, 林智刚, 刘威宏. CT放射组学对NSCLC患者抗PD-L1疗效分析[J]. 中华肺部疾病杂志(电子版), 2021, 14(05): 614-616.

Debiao Ren, Lijuan Zhou, Zhigang Lin. Effect of CT radiometrics on anti-PD-L1 in patients with non-small cell lung cancer[J]. Chinese Journal of Lung Diseases(Electronic Edition), 2021, 14(05): 614-616.

目的

分析CT放射组学对非小细胞肺癌(NSCLC)患者抗程序性死亡配体-1(PD-L1)疗效及预测意义。

方法

选择2018年10月至2019年1月于我院就诊的63例NSCLC患者为对象,所有受试者均接受诊断性增强胸部CT扫描,并接受2周3 mg/kg剂量或240 mg固定剂量的静脉注射纳武单抗治疗,随访4个治疗周期,于末次随访时评估抗PD-L1疗效。并根据患者抗PD-L1疗效,分为缓解组和进展组。采用Lasso-logistic回归方程筛选价值高的CT放射组学特征,通过绘制ROC曲线鉴别其对NSCLC患者治疗效果的预测价值。

结果

随访2年,截止末次随访时间2021年1月26日,共1例患者失访,5例患者死亡,57例患者完成随访,共38例患者疾病进展为进展组,19例患者疾病缓解为缓解组。采用Lasso-logistic回归方程共提取462个CT放射组学特征,通过Lasso-logistic回归模型选取出系数非零特征,绘制ROC曲线显示预测患者抗PD-L1疗效的AUC为0.991(95%CI 0.938~987),灵敏度为94.23%,特异度为96.43%。

结论

基于CT放射组学建立的预测模型对NSCLC患者抗PD-L1治疗疗效的较高,可作为预测及评估NSCLC患者抗PD-L1疗效。

表1 两组一般资料对比[(±s),n(%)]
图1 特征系数收敛图
图2 ROC曲线
20
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