0 257

Cited 11 times in

Percentages of Hepatocellular Carcinoma in LI-RADS Categories with CT and MRI: A Systematic Review and Meta-Analysis

DC Field Value Language
dc.contributor.author김연윤-
dc.contributor.author신재승-
dc.contributor.author이선영-
dc.contributor.author최진영-
dc.contributor.author노윤호-
dc.date.accessioned2023-05-31T05:35:59Z-
dc.date.available2023-05-31T05:35:59Z-
dc.date.issued2023-04-
dc.identifier.issn0033-8419-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/194218-
dc.description.abstractBackground The Liver Imaging Reporting and Data System (LI-RADS) CT and MRI algorithm applies equally to CT, MRI with extracellular contrast agents (ECA-MRI), and MRI with gadoxetate (Gx-MRI). Purpose To estimate pooled percentages of hepatocellular carcinoma (HCC) and overall malignancy for each LI-RADS category with CT and MRI. Materials and Methods MEDLINE and EMBASE databases were searched for research articles (January 2014-April 2021) reporting the percentages of observations in each LI-RADS category with use of versions 2014, 2017, or 2018. Study design, population characteristics, imaging modality, reference standard, and numbers of HCC and non-HCC malignancies in each category were recorded. A random-effects model evaluated the pooled percentage of HCC and overall malignancy for each category. Results There were 49 studies with 9620 patients and a total 11 562 observations, comprising 7921 HCCs, 1132 non-HCC malignancies, and 2509 benign entities. No HCC or non-HCC malignancies were reported with any modality in the LR-1 category. The pooled percentages of HCC for CT, ECA-MRI, and Gx-MRI, respectively, were 10%, 6%, and 1% for LR-2 (P = .16); 48%, 31%, and 38% for LR-3 (P = .42); 76%, 64%, and 77% for LR-4 (P = .62); 96%, 95%, and 96% for LR-5 (P = .76); 88%, 76%, and 78% for LR-5V or LR-TIV (tumor in vein) (P = .42); and 20%, 30%, and 35% for LR-M (P = .32). Most LR-M (93%-100%) and LR-5V or LR-TIV (99%-100%) observations were malignant, regardless of modality. Conclusion There was no difference in percentages of hepatocellular carcinoma and overall malignancy between CT, MRI with extracellular contrast agents, and MRI with gadoxetate for any Liver Imaging Reporting and Data System categories. © RSNA, 2023 Supplemental material is available for this article See also the editorial by Ronot in this issue.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherRadiological Society of North America-
dc.relation.isPartOfRADIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.subject.MESHCarcinoma, Hepatocellular* / diagnostic imaging-
dc.subject.MESHCarcinoma, Hepatocellular* / pathology-
dc.subject.MESHContrast Media-
dc.subject.MESHHumans-
dc.subject.MESHLiver Neoplasms* / diagnostic imaging-
dc.subject.MESHLiver Neoplasms* / pathology-
dc.subject.MESHMagnetic Resonance Imaging / methods-
dc.subject.MESHRetrospective Studies-
dc.subject.MESHSensitivity and Specificity-
dc.subject.MESHTomography, X-Ray Computed-
dc.titlePercentages of Hepatocellular Carcinoma in LI-RADS Categories with CT and MRI: A Systematic Review and 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.googleauthorWon Jeong Son-
dc.contributor.googleauthorYun Ho Roh-
dc.contributor.googleauthorJin-Young Choi-
dc.contributor.googleauthorClaude B Sirlin-
dc.contributor.googleauthorVictoria Chernyak-
dc.identifier.doi10.1148/radiol.220646-
dc.contributor.localIdA04902-
dc.contributor.localIdA05599-
dc.contributor.localIdA05659-
dc.contributor.localIdA04200-
dc.relation.journalcodeJ02596-
dc.identifier.eissn1527-1315-
dc.identifier.pmid36625748-
dc.identifier.urlhttps://pubs.rsna.org/doi/10.1148/radiol.220646-
dc.contributor.alternativeNameKim, Yeun-Yoon-
dc.contributor.affiliatedAuthor김연윤-
dc.contributor.affiliatedAuthor신재승-
dc.contributor.affiliatedAuthor이선영-
dc.contributor.affiliatedAuthor최진영-
dc.citation.volume307-
dc.citation.number1-
dc.citation.startPagee220646-
dc.identifier.bibliographicCitationRADIOLOGY, Vol.307(1) : e220646, 2023-04-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.