双能量CT虚拟平扫结合影像组学在诊断肺鳞状细胞癌与肺腺癌中的价值

李想; 陈艾琪; 曹胜男; 李伟; 唐聪聪; 杜小萌; 马宜传

doi:10.13898/j.cnki.issn.1000-2200.2023.11.018

双能量CT虚拟平扫结合影像组学在诊断肺鳞状细胞癌与肺腺癌中的价值

Value of dual-energy CT virtual plain scanning combined with radiomics in the diagnosis of lung squamous cell carcinoma and lung adenocarcinoma

摘要

摘要:
目的探讨双能量CT虚拟平扫结合影像组学在术前诊断肺鳞状细胞癌与肺腺癌中的价值，指导临床制定个体化治疗方案。
方法回顾性分析经病理证实接受治疗的肺鳞癌与肺腺癌病人共162例。其中肺鳞癌54例，肺腺癌108例，按照3∶2随机分为训练组与测试组，采用达尔文智能科研平台（http://122.115.38.132:7043/manage/project-manage）分析术前双能量CT（管电压70 kVp及120 kVp）平扫图像，勾画感兴趣区，建立预测模型，通过受试者操作特性曲线验证预测模型，评价影像组学特征在预测肺鳞状细胞癌与肺腺癌中的价值。
结果训练组中，曲线下面积（AUC）值为0.77，准确率为71.13%，特异性为0.75，敏感性为0.69，95%置信区间（CI）为0.67；测试组中，AUC值为0.74，准确率为64.62%，特异性为0.59，敏感性为0.67~0.90，95%CI：0.53~0.93。
结论双能量CT虚拟平扫结合影像组学可以作为辅助手段鉴别肺鳞癌与肺腺癌，对于肺癌病人的临床治疗方案具有指导意义。

Abstract:
ObjectiveTo investigate the value of dual-energy CT virtual plain scanning combined with radiomics in the preoperative diagnosis of lung squamous cell carcinoma and lung adenocarcinoma, and guide the clinical development of individualized treatment plan.
MethodsThe clinical data of lung squamous cell carcinoma and lung adenocarcinoma 162 patients confirmed by pathology were retrospectively analyzed.Fifty-four patients with lung squamous carcinoma and 108 patients with lung adenocarcinoma were randomly divided into the training group and test group according to the ratio of 3:2.The preoperative dual-energy CT(tube voltage 70 kVp and 120 kVp) plain scannig images of two groups were analyzed using the Darwin Intelligent Research Platform(http://122.115.38.132:7043/manage/project-manage) to sketch the region of interest (ROI) and establish the prediction model.The prediction model was verified by receiver operating characteristic (ROC) curve, and the value of imaging features in the prediction of lung squamous cell carcinoma and lung adenocarcinoma was evaluated.
ResultsIn the training group, the area under curve(AUC) value was 0.77, the accuracy rate was 71.13%, the specificity was 0.75, the sensitivity was 0.69, and the 95% confidence interval(CI) was 0.67-0.90.In the test group, the AUC value was 0.74, the accuracy rate was 64.62%, the specificity was 0.59, the sensitivity was 0.67, and the 95%CI was 0.53-0.93.
ConclusionsDual-energy CT virtual plain scannig combined with radiomics can be used as an auxiliary means to differentiate lung squamous carcinoma from lung adenocarcinoma, which has guiding significance in the clinical treatment of lung cancer patients.

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