The value of liver imaging reporting and data system version 2018 features in predicting microvascular invasion of hepatocellular carcinoma
10.3969/j.issn.1002-1671.2024.02.016
- VernacularTitle:肝脏影像报告和数据系统2018版征象在预测肝细胞癌微血管侵犯中的价值
- Author:
Zhiwei LU
1
;
Yuanbo ZHAO
;
Shaobin ZHANG
;
Lin ZHANG
Author Information
1. 核工业417医院放射科,陕西 西安 710600
- Keywords:
hepatocellular carcinoma;
microvascular invasion;
liver imaging reporting and data system
- From:
Journal of Practical Radiology
2024;40(2):244-248
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the value of liver imaging reporting and data system version 2018(LI-RADS v2018)features in predicting microvascular invasion(MVI)of hepatocellular carcinoma(HCC).Methods Ninety-two patients diagnosed as LR-5 and pathologically confirmed HCC were included and divided into MVI positive group and MVI negative group.The major and ancillary features of LI-RADS v2018 were compared between the two groups.Logistic univariate and multivariate regression analyses were used to obtain the independent risk factors for MVI,and the value of differential features in predicting MVI was also assessed using the receiver operating characteristic(ROC)curve.Results In the MVI positive group,the pathological grade of HCC was higher than that in the MVI negative group,with larger tumor diameter and higher incidence of mosaic architecture and corona enhancement.However,there was no difference in any other features.In logistic univariate analysis,tumor diameter,mosaic architecture and corona enhancement were independent risk factors for predicting the MVI,with area under the curve(AUC)values of 0.763 and 0.628 and 0.670 for the diagnosis of MVI,respectively.Conclusion In high-risk LR-5 population,tumor diameter,mosaic architecture and corona enhancement can help to predict the MVI.Accurate identification of LI-RADS v2018 features may facilitate personalized management of HCC patients.
