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MRI-diagnosis of category LR-M observations in the Liver Imaging Reporting and Data System v2018: a systematic review and meta-analysis

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dc.contributor.authorShin, Jaeseung-
dc.contributor.authorLee, Sun young-
dc.contributor.authorHwang, Jeong Ah-
dc.contributor.authorLee, Ji Eun-
dc.contributor.authorChung, Yong Eun-
dc.contributor.authorChoi, Jin Young-
dc.contributor.authorPark, Mi Suk-
dc.date.accessioned2022-07-08T03:24:45Z-
dc.date.available2022-07-08T03:24:45Z-
dc.date.created2022-07-27-
dc.date.issued2022-05-
dc.identifier.issn0938-7994-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/188837-
dc.description.abstractObjectives We performed a meta-analysis to determine the probability of hepatocellular carcinoma (HCC) and non-HCC malignancies in Liver Imaging Reporting and Data System (LI-RADS) category M (LR-M) observations and the frequency of defined LR-M imaging features on MRI using LI-RADS v2018. Methods We searched the MEDLINE and EMBASE databases to identify studies published from 1 January 2018 to 16 March 2021 reporting the probability of category LR-M in HCC and non-HCC malignancies on MRI. The pooled percentages of HCC and non-HCC malignancies in the LR-M observations were evaluated. Meta-regression analysis was performed to identify factors for study heterogeneity. The frequencies of defined LR-M imaging features were also calculated. Risk of bias and concerns regarding applicability were evaluated using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Results We identified 18 studies reporting the diagnostic performance of the LR-M category (3,812 observations in 3,615 patients), with nine studies reporting the frequencies of LR-M imaging features. The pooled percentages of HCC and non-HCC malignancies in the LR-M observations were 29% (95% confidence interval [CI], 21-38%) and 67% (95%CI, 57-77%), respectively. The study type and inclusion of benign lesions were significant factors for study heterogeneity. Of the 10 LR-M imaging features, rim arterial phase hyperenhancement (APHE) showed the highest frequency in non-HCC malignancies (68%; 95%CI, 61-75%). Conclusions The LR-M category was commonly used to characterize non-HCC malignancies, but also included 29% of HCC. The frequencies of the different LR-M imaging features were variable, with rim APHE showing the highest frequency in non-HCC malignancies.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherSpringer International-
dc.relation.isPartOfEuropean Radiology-
dc.relation.isPartOfEUROPEAN RADIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleMRI-diagnosis of category LR-M observations in the Liver Imaging Reporting and Data System v2018: a systematic review and meta-analysis-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학교실)-
dc.contributor.googleauthorShin, Jaeseung-
dc.contributor.googleauthorLee, Sun young-
dc.contributor.googleauthorHwang, Jeong Ah-
dc.contributor.googleauthorLee, Ji Eun-
dc.contributor.googleauthorChung, Yong Eun-
dc.contributor.googleauthorChoi, Jin Young-
dc.contributor.googleauthorPark, Mi Suk-
dc.identifier.doi10.1007/s00330-021-08382-y-
dc.relation.journalcodeJ00851-
dc.identifier.eissn1432-1084-
dc.subject.keywordDiagnosis-
dc.subject.keywordLiver neoplasms-
dc.subject.keywordMagnetic resonance imaging-
dc.subject.keywordMeta-analysis-
dc.subject.keywordSystematic review-
dc.contributor.alternativeNamePark, Mi Sook-
dc.contributor.affiliatedAuthorShin, Jaeseung-
dc.contributor.affiliatedAuthorLee, Sun young-
dc.contributor.affiliatedAuthorChung, Yong Eun-
dc.contributor.affiliatedAuthorChoi, Jin Young-
dc.contributor.affiliatedAuthorPark, Mi Suk-
dc.identifier.scopusid2-s2.0-85123123807-
dc.identifier.wosid000742615200001-
dc.citation.volume32-
dc.citation.number5-
dc.citation.startPage3319-
dc.citation.endPage3326-
dc.identifier.bibliographicCitationEuropean Radiology, Vol.32(5) : 3319-3326, 2022-05-
dc.identifier.rimsid75177-
dc.type.rimsART-
dc.description.journalClass1-
dc.description.journalClass1-
dc.subject.keywordAuthorDiagnosis-
dc.subject.keywordAuthorLiver neoplasms-
dc.subject.keywordAuthorMagnetic resonance imaging-
dc.subject.keywordAuthorMeta-analysis-
dc.subject.keywordAuthorSystematic review-
dc.subject.keywordPlusHEPATOCELLULAR-CARCINOMA-
dc.subject.keywordPlusCOMPUTED-TOMOGRAPHY-
dc.subject.keywordPlusGADOXETIC ACID-
dc.subject.keywordPlusLI-RADS-
dc.subject.keywordPlusACCURACY-
dc.type.docTypeReview-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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