Nomogram For Preoperative Prediction Of Microvascular Invasion Risk In Hepatocellular Carcinoma

Guangtong Deng,1 Lei Yao,1 Furong Zeng,2 Liang Xiao,1,* Zhiming Wang1,* 1General Surgery Department, Xiangya Hospital, Central South University, Changsha, People’s Republic of China; 2Xiangya School of Medicine, Central South University, Changsha, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zhiming Wang; Liang XiaoGeneral Surgery Department, Xiangya Hospital, Central South University, Xiangya Road 87, Changsha 410008, People’s Republic of ChinaTel +8618773132682Email a846957007@163.com; xiaoliangrick@csu.edu.cnObjective: To preoperatively predict the microvascular invasion (MVI) risk in hepatocellular carcinoma (HCC) using nomogram.Methods: A retrospective cohort of 513 patients with HCC hospitalized at Xiangya Hospital between January 2014 and December 2018 was included in the study. Univariate and multivariate analysis was performed to identify the independent risk factors for MVI. Based on the independent risk factors, nomogram was established to preoperatively predict the MVI risk in HCC. The accuracy of nomogram was evaluated by using receiver operating characteristic (ROC) curve, calibration curve and decision curve analysis (DCA).Results: Tumor size (OR=1.17, 95% CI: 1.11–1.23, p