Computed tomography-based radiomics for predicting lymphovascular invasion in rectal cancer

医学 淋巴血管侵犯 无线电技术 逻辑回归 接收机工作特性 回顾性队列研究 队列 放射科 核医学 结直肠癌 计算机断层摄影术 曲线下面积 癌症 外科 内科学 转移
作者
Mou Li,Yumei Jin,Rui Jun,Yongchang Zhang,Yali Zhao,Chencui Huang,Shengmei Liu,Bin Song
出处
期刊:European Journal of Radiology [Elsevier BV]
卷期号:146: 110065-110065 被引量:8
标识
DOI:10.1016/j.ejrad.2021.110065
摘要

To develop and externally validate a computed tomography (CT)-based radiomics model for predicting lymphovascular invasion (LVI) before treatment in patients with rectal cancer (RC).This retrospective study enrolled 351 patients with RC from three hospitals between March 2018 and March 2021. These patients were assigned to one of the following three groups: training set (n = 239, from hospital 1), internal validation set (n = 60, from hospital 1), and external validation set (n = 52, from hospitals 2 and 3). Large amounts of radiomics features were extracted from the intratumoral and peritumoral regions in the portal venous phase contrast-enhanced CT images. The score of radiomics features (Rad-score) was calculated by performing logistic regression analysis following the L1-based method. A combined model (Rad-score + clinical factors) was developed in the training cohort and validated internally and externally. The models were compared using the area under the receiver operating characteristic curve (AUC).Of the 351 patients, 106 (30.2%) had an LVI + tumor. Rad-score (comprised of 22 features) was significantly higher in the LVI + group than in the LVI- group (0.60 ± 0.17 vs. 0.42 ± 0.19, P = 0.001). The combined model obtained good predictive performance in the training cohort (AUC = 0.813 [95% CI: 0.758-0.861]), with robust results in internal and external validations (AUC = 0.843 [95% CI: 0.726-0.924] and 0.807 [95% CI: 0.674-0.903]).The proposed combined model demonstrated the potential to predict LVI preoperatively in patients with RC.
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