CT/MRI and CEUS LI-RADS Major Features Association with Hepatocellular Carcinoma: Individual Patient Data Meta-Analysis

医学 肝细胞癌 逻辑回归 优势比 放射科 荟萃分析 置信区间 科克伦图书馆 诊断优势比 梅德林 核医学 诊断准确性 内科学 政治学 法学
作者
Christian B. van der Pol,Matthew D. F. McInnes,Jean‐Paul Salameh,Brooke Levis,Victoria Chernyak,Claude B. Sirlin,Mustafa R. Bashir,Brian C. Allen,Lauren M. B. Burke,Jin‐Young Choi,Sang Hyun Choi,Alejandro Forner,Tyler J. Fraum,Alice Giamperoli,Hanyu Jiang,Ijin Joo,Zhen Kang,Andrea S. Kierans,Hyo‐Jin Kang,Gaurav Khatri,Jung Hoon Kim,Myeong‐Jin Kim,So Yeon Kim,Yeun‐Yoon Kim,Heejin Kwon,Jeong Min Lee,Sara Lewis,Katrina A. McGinty,Lorenzo Mulazzani,Mi‐Suk Park,Fabio Piscaglia,Joanna Podgórska,Caecilia S. Reiner,Maxime Ronot,Grzegorz Rosiak,Bin Song,Ji Soo Song,An Tang,Eleonora Terzi,Jin Wang,Wei Wang,Stephanie R. Wilson,Takeshi Yokoo
出处
期刊:Radiology [Radiological Society of North America]
卷期号:302 (2): 326-335 被引量:44
标识
DOI:10.1148/radiol.2021211244
摘要

Background The Liver Imaging Reporting and Data System (LI-RADS) assigns a risk category for hepatocellular carcinoma (HCC) to imaging observations. Establishing the contributions of major features can inform the diagnostic algorithm. Purpose To perform a systematic review and individual patient data meta-analysis to establish the probability of HCC for each LI-RADS major feature using CT/MRI and contrast-enhanced US (CEUS) LI-RADS in patients at high risk for HCC. Materials and Methods Multiple databases (MEDLINE, Embase, Cochrane Central Register of Controlled Trials, and Scopus) were searched for studies from January 2014 to September 2019 that evaluated the accuracy of CT, MRI, and CEUS for HCC detection using LI-RADS (CT/MRI LI-RADS, versions 2014, 2017, and 2018; CEUS LI-RADS, versions 2016 and 2017). Data were centralized. Clustering was addressed at the study and patient levels using mixed models. Adjusted odds ratios (ORs) with 95% CIs were determined for each major feature using multivariable stepwise logistic regression. Risk of bias was assessed using Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) (PROSPERO protocol: CRD42020164486). Results A total of 32 studies were included, with 1170 CT observations, 3341 MRI observations, and 853 CEUS observations. At multivariable analysis of CT/MRI LI-RADS, all major features were associated with HCC, except threshold growth (OR, 1.6; 95% CI: 0.7, 3.6; P = .07). Nonperipheral washout (OR, 13.2; 95% CI: 9.0, 19.2; P = .01) and nonrim arterial phase hyperenhancement (APHE) (OR, 10.3; 95% CI: 6.7, 15.6; P = .01) had stronger associations with HCC than enhancing capsule (OR, 2.4; 95% CI: 1.7, 3.5; P = .03). On CEUS images, APHE (OR, 7.3; 95% CI: 4.6, 11.5; P = .01), late and mild washout (OR, 4.1; 95% CI: 2.6, 6.6; P = .01), and size of at least 20 mm (OR, 1.6; 95% CI: 1.04, 2.5; P = .04) were associated with HCC. Twenty-five studies (78%) had high risk of bias due to reporting ambiguity or study design flaws. Conclusion Most Liver Imaging Reporting and Data System major features had different independent associations with hepatocellular carcinoma; for CT/MRI, arterial phase hyperenhancement and washout had the strongest associations, whereas threshold growth had no association. © RSNA, 2021 Online supplemental material is available for this article.
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