Radiomics approach for preoperative identification of stages Ⅰ-Ⅱand Ⅲ-Ⅳ of esophageal cancer

查看全文 作　　者：Lei [1,2]WU;Cong [3]Wang;Xianzheng [2]Tan;Zixuan [1,2]Cheng;Ke [1,2]Zhao;Lifen [2]Yan;Yanli [2]Liang;Zaiyi [2]Liu;Changhong [1,2]Liang

机构地区：[1]School of Medicine, South China University of Technology, Guangzhou 510006, China;[2]Department of Radiology, Guangdong General Hospital,Guangdong Academy of Medical Sciences, Guangzhou 510080, China;[3]School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China

出　　处：《Chinese Journal of Cancer Research》索引2018年第30卷第4期,共10页

基　　金：supported by the National Key R&D Program of China (No. 2017YFC1309100);National Natural Scientific Foundation of China (No. 81771912);Science and Technology Planning Project of Guangdong Province (No. 2017B020227012) 摘　　要：Objective: To predict preoperative staging using a radiomics approach based on computed tomography(CT)images of patients with esophageal squamous cell carcinoma(ESCC).Methods: This retrospective study included 154 patients(primary cohort: n=114; validation cohort: n=40) with pathologically confirmed ESCC. All patients underwent a preoperative CT scan from the neck to abdomen. High throughput and quantitative radiomics features were extracted from the CT images for each patient. A radiomics signature was constructed using the least absolute shrinkage and selection operator(Lasso). Associations between radiomics signature, tumor volume and ESCC staging were explored. Diagnostic performance of radiomics approach and tumor volume for discriminating between stages Ⅰ-Ⅱ and Ⅲ-Ⅳ was evaluated and compared using the receiver operating characteristics(ROC) curves and net reclassification improvement(NRI).Results: A total of 9,790 radiomics features were extracted. Ten features were selected to build a radiomics signature after feature dimension reduction. The radiomics signature was significantly associated with ESCC staging(P<0.001), and yielded a better performance for discrimination of early and advanced stage ESCC compared to tumor volume in both the primary [area under the receiver operating characteristic curve(AUC): 0.795 vs. 0.694,P=0.003; NRI=0.424)] and validation cohorts(AUC: 0.762 vs. 0.624, P=0.035; NRI=0.834).Conclusions: The quantitative approach has the potential to identify stage Ⅰ-Ⅱ and Ⅲ-Ⅳ ESCC before treatment. 关键词：Esophageal cancer tumor staging diagnostic imaging tumor volume

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Radiomics approach for preoperative identification of stages Ⅰ-Ⅱand Ⅲ-Ⅳ of esophageal cancer

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