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CT and MRI Liver Imaging Reporting and Data System Version 2018 for Hepatocellular Carcinoma: A Systematic Review With Meta-Analysis

DC Field Value Language
dc.contributor.author김연윤-
dc.contributor.author노윤호-
dc.contributor.author신재승-
dc.contributor.author이선영-
dc.contributor.author정용은-
dc.contributor.author최진영-
dc.date.accessioned2020-12-11T07:58:16Z-
dc.date.available2020-12-11T07:58:16Z-
dc.date.issued2020-10-
dc.identifier.issn1546-1440-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/180728-
dc.description.abstractPurpose: The aim of this study was to determine the diagnostic performance of the LR-5 category for hepatocellular carcinoma (HCC) and the pooled proportion of HCC in each Liver Imaging Reporting and Data System (LI-RADS) category with CT and MRI, using LI-RADS version 2018. Methods: The MEDLINE, Embase, and Scopus databases were searched from inception to December 7, 2019, for studies reporting the diagnostic accuracy of LI-RADS version 2018 for HCC. Risk for bias and concerns regarding applicability were assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Random-effects models were used to determine the summary estimates of the diagnostic performance of LR-5 and the pooled proportion of HCC for each LI-RADS category. Results: Fourteen studies were included in the final analysis, consisting of 2,708 observations with 1,841 HCCs. The pooled per-observation sensitivity and specificity of the LR-5 category for diagnosing HCC were 70% (95% confidence interval [CI], 61%-78%) and 91% (95% CI, 89%-93%), respectively. No HCCs were reported for LR-1 and LR-2. The pooled proportions of HCC were 31% (95% CI, 12%-50%) for LR-3, 64% (95% CI, 47%-80%) for LR-4, 95% (95% CI, 93%-96%) for LR-5, 54% (95% CI, 30%-77%) for LR-TIV, and 33% (95% CI, 21%-46%) for LR-M. The proportions of HCC were significantly different among the LI-RADS categories (P = .022). Conclusions: The LR-5 category of LI-RADS version 2018 provided moderate sensitivity and high specificity for diagnosing HCC. Higher LI-RADS categories from LR-3 to LR-5 included greater proportions of HCC.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherElsevier-
dc.relation.isPartOfJOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleCT and MRI Liver Imaging Reporting and Data System Version 2018 for Hepatocellular Carcinoma: A Systematic Review With Meta-Analysis-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학교실)-
dc.contributor.googleauthorSunyoung Lee-
dc.contributor.googleauthorYeun-Yoon Kim-
dc.contributor.googleauthorJaeseung Shin-
dc.contributor.googleauthorShin Hye Hwang-
dc.contributor.googleauthorYun Ho Roh-
dc.contributor.googleauthorYong Eun Chung-
dc.contributor.googleauthorJin-Young Choi-
dc.identifier.doi10.1016/j.jacr.2020.06.005-
dc.contributor.localIdA04902-
dc.contributor.localIdA01287-
dc.contributor.localIdA05599-
dc.contributor.localIdA05659-
dc.contributor.localIdA03662-
dc.contributor.localIdA04200-
dc.relation.journalcodeJ03960-
dc.identifier.eissn1558-349X-
dc.identifier.pmid32640250-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S154614402030644X-
dc.subject.keywordLiver neoplasms-
dc.subject.keywordcomputed tomography-
dc.subject.keyworddiagnosis-
dc.subject.keywordmagnetic resonance imaging-
dc.subject.keywordsensitivity and specificity-
dc.contributor.alternativeNameKim, Yeun-Yoon-
dc.contributor.affiliatedAuthor김연윤-
dc.contributor.affiliatedAuthor노윤호-
dc.contributor.affiliatedAuthor신재승-
dc.contributor.affiliatedAuthor이선영-
dc.contributor.affiliatedAuthor정용은-
dc.contributor.affiliatedAuthor최진영-
dc.citation.volume17-
dc.citation.number10-
dc.citation.startPage1199-
dc.citation.endPage1206-
dc.identifier.bibliographicCitationJOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, Vol.17(10) : 1199-1206, 2020-10-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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