Diagnostic performance and association of liver imaging reporting and data system v2018 CT signs with hepatocellular carcinoma
10.3969/j.issn.1002-1671.2025.05.015
- VernacularTitle:肝脏影像报告和数据系统v2018 CT征象对肝细胞癌的诊断效能及其关联性
- Author:
Linwei ZHAO
1
;
Yong LI
1
;
Guoqing YANG
1
;
Min FENG
1
;
Gaowu YAN
1
;
Chengkun YIN
1
;
Jiajia WU
1
Author Information
1. 遂宁市中心医院放射影像科,四川 遂宁 629000
- Publication Type:Journal Article
- Keywords:
liver imaging reporting and data system;
hepato-cellular carcinoma;
computed tomography
- From:
Journal of Practical Radiology
2025;41(5):785-789
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the association and diagnostic performance of liver imaging reporting and data system(LI-RADS)CT signs with hepatocellular carcinoma(HCC)both in the LI-RADS target population and patients without LI-RADS-defined HCC risk factors.Methods A retrospective analysis was conducted on the data of 435 patients with 482 hepatic lesions confirmed by pathology.Of these,306 cases were assigned to the HCC group(327 HCC lesions),and other 129 cases were assigned to the non-HCC group(77 malignancies and 78 benign lesions).Receiver operating characteristic(ROC)curve analysis assessed the diagnostic performance of LI-RADS v2018 CT signs for HCC,and logistic regression analyses determined the association of CT signs with HCC.Results The asso-ciation of CT signs with all HCC lesions was statistically significant for non-peripheral washout[odds ratio(OR)15.1;95％ confi-dence interval(CI)5.6-40.4;P＜0.01]and non-rim arterial phase hyperenhancement(APHE)(OR 12.4;95％ CI 7.5-20.5;P＜0.01)higher than enhanced capsule(OR 9.9;95％ CI 2.8-34.8;P＜0.01;OR 2.4;95％ CI 1.4-3.8;P=0.01).The sensitivity,specificity,positive predictive value(PPV),and area under the curve(AUC)for diagnosing HCC were 85％,83％,91％,and 0.84,respectively for non-peripheral washout;82％,77％,88％ and 0.79,respectively for non-rim APHE;and 31％,98％,97％ and 0.65,respectively for enhanced capsule.Sensitivity(88％ vs 87％),specificity(83％ vs 82％),PPV(92％ vs 91％)and AUC(0.90 vs 0.87)were all slightly higher when non-peripheral washout,non-rim APHE,enhanced capsule,and ancillary features were combined for the diagnosis of HCC compared to combining the three major features.Enhanced capsule(OR 13.3;95％ CI 3.6-48.9;P＜0.01),blood products in mass(OR 20.3;95％ CI 2.4-171.4;P＜0.01),and mosaic appearance(OR 37.7;95％ CI 4.2-340.0;P＜0.01)were associations with HCC presenting with atypical imaging features and provided high specificity from 98％ to 99％.Conclusion In theLI-RADS target population and patients without LI-RADS-defined HCC risk factors,LI-RADS v2018 CT signs show excellent diag-nostic performance for HCC.Two ancillary features,blood products in mass and mosaic appearance,show good specificity for HCC with atypical imaging features.
