Scholay

学术搜索 · AI 审稿 · LaTeX 协作

NCV INDEX IS A POTENTIAL PREDICTOR OF MVI IN PATIENTS WITH HCC WHO UNDERGOING LIVER TRANSPLANTATION

作者:Jianhua Li, Ensi Ma, Xing Hao, Zhang Quanbao, MA Zhen-yu, Ruidong Li, Shen Conghuan, Tao Yifeng, Wang Zhengxin · 发表于:Transplantation · 年份:2020 · DOI:10.1097/01.tp.0000701320.47667.3b · 被引用次数:1 · 研究领域:Hepatocellular Carcinoma Treatment and Prognosis、Ferroptosis and cancer prognosis、Cholangiocarcinoma and Gallbladder Cancer Studies

Background: MVI is a potential screening indicator for liver cancer liver transplantation prognosis and neoadjuvant therapy. Currently, there is no effective way to accurately predict MVI before surgery. Objective: To construct a preoperative MVI model for liver cancer patients undergoing liver transplantation. Methods: We retrospectively analyzed the clinical and follow-up data of 168 patients with hepatocellular carcinoma treated in the Department of General Surgery, Huashan Hospital, Fudan University from June 25, 2014 to October 31, 2018. (Randomly divided into experimental group 112 cases, verified Group of 56 patients). Inclusion criteria: pathological diagnosis of hepatocellular carcinoma (HCC); exclusion criteria: (1) major blood vessel invasion; (2) extrahepatic lymph node metastasis; (3) distant metastasis; (4) death within one month after surgery. We used Logistic regression model to analyze the risk factors of MVI, and constructed a preoperative risk prediction model of MVI. The area under the receiver curve (ROC) was used to test the predictive power of the risk model, and a calibration analysis was used to test the accuracy of the predictive model. Finally, K-M analysis was used to analyze the relationship between high and low MVI risk scores and prognosis. Results: Two factors (number of tumors and cumulative tumor volume) were found to be independent risk factors for predicting MVI by multivariate logistic regression analysis. Based on this, they were included...