Novel model combining contrast-enhanced ultrasound with serology predicts hepatocellular carcinoma recurrence after hepatectomy

作     者：Hai-Bin Tu Li-Hong Chen Yu-Jie Huang Si-Yi Feng Jian-Ling Lin Yong-Yi Zeng 

作者机构：Department of UltrasoundMengchao Hepatobiliary Hospital of Fujian Medical UniversityFuzhou 350025Fujian ProvinceChina Department of Hepatobiliary SurgeryMengchao Hepatobiliary Hospital of Fujian Medical UniversityFuzhou 350025Fujian ProvinceChina 

出 版 物：《World Journal of Clinical Cases》 (世界临床病例杂志)

年 卷 期：2021年第9卷第24期

页      面：7009-7021页

核心收录：

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基　　金：Startup Fund for Scientific Research Fujian Medical University No.2019QH1302 

主　　题：Hepatocellular carcinoma Recurrence Prediction Contrast-enhanced ultrasound Liver imaging reporting and data system Alpha-fetoprotein 

摘      要：BACKGROUND Surgery is the primary curative option in patients with hepatocellular carcinoma(HCC).However,recurrence within 2 years is observed in 30%–50%of patients,being a major cause of *** To construct and verify a non-invasive prediction model combining contrastenhanced ultrasound(CEUS)with serology biomarkers to predict the early recurrence of *** Records of 744 consecutive patients undergoing first-line curative surgery for HCC in one institution from 2016–2018 were reviewed,and 292 local patients were selected for *** characteristics including gender and age,CEUS liver imaging reporting and data system(LIRADS)parameters including wash-in time,wash-in type,wash-out time,and wash-out type,and serology biomarkers including alanine aminotransferase,aspartate aminotransferase,platelets,and alpha-fetoprotein(AFP)were *** analysis and multivariate Cox proportional hazards regression model were used to evaluate the independent prognostic factors for tumor *** a nomogram called CEUS model was *** CEUS model was then used to predict recurrence at 6 mo,12 mo,and 24 mo,the cut-off value was calculate by X-tile,and each C-index was *** Kaplan-Meier curve was compared by logrank *** calibration curves of each time were *** A nomogram predicting early recurrence(ER),named CEUS model,was formulated based on the results of the multivariate Cox regression *** nomogram incorporated tumor diameter,preoperative AFP level,and LIRADS,and the hazard ratio was 1.123(95%confidence interval[CI]:1.041-1.211),1.547(95%CI:1.245-1.922),and 1.428(95%CI:1.059-1.925),*** cut-off value at 6 mo,12 mo,and 24 mo was 100,80,and 50,and the C-index was 0.748(95%CI:0.683-0.813),0.762(95%CI:0.704-0.820),and 0.762(95%CI:0.706-0.819),*** model showed satisfactory results,and the calibration at 6 mo was desirable;however,the calibration at 12 and 24 mo should be improv