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Diagnostic Image Feature and Performance of CT and Gadoxetic Acid Disodium-Enhanced MRI in Distinction of Combined Hepatocellular-Cholangiocarcinoma from Hepatocellular Carcinoma

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dc.contributor.author김명진-
dc.contributor.author김승섭-
dc.contributor.author이명지-
dc.contributor.author이선영-
dc.date.accessioned2022-03-11T05:47:14Z-
dc.date.available2022-03-11T05:47:14Z-
dc.date.issued2021-12-
dc.identifier.issn2384-1095-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/187791-
dc.description.abstractPurpose: To find diagnostic image features, to compare diagnostic performance of multiphase CT versus gadoxetic acid disodium-enhanced MRI (GAD-MRI), and to evaluate the impact of analyzing Liver Imaging Reporting and Data System (LI-RADS) imaging features, for distinguishing combined hepatocellular-cholangiocarcinoma (CHC) from hepatocellular carcinoma (HCC). Materials and Methods: Ninety-six patients with pathologically proven CHC (n = 48) or HCC (n = 48), diagnosed June 2008 to May 2018 were retrospectively analyzed in random order by three radiologists with different experience levels. In the first analysis, the readers independently determined the probability of CHC based on their own knowledge and experiences. In the second analysis, they evaluated imaging features defined in LI-RADS 2018. Area under the curve (AUC) values for CHC diagnosis were compared between CT and MRI, and between the first and second analyses. Interobserver agreement was assessed using Cohen’s weighted κ values. Results: Targetoid LR-M image features showed better specificities and positive predictive values (PPV) than the others. Among them, rim arterial phase hyperenhancement had the highest specificity and PPV. Average sensitivity, specificity, and AUC values were higher for MRI than for CT in both the first (P = 0.008, 0.005, 0.002, respectively) and second (P = 0.017, 0.026, 0.036) analyses. Interobserver agreements were higher for MRI in both analyses (κ = 0.307 for CT, κ = 0.332 for MRI in the first analysis; κ = 0.467 for CT, κ = 0.531 for MRI in the second analysis), with greater agreement in the second analysis for both CT (P = 0.001) and MRI (P < 0.001). Conclusion: Rim arterial phase hyperenhancement on GAD-MRI can be a good indicator suggesting CHC more than HCC. GAD-MRI may provide greater accuracy than CT for distinguishing CHC from HCC. Interobserver agreement can be improved for both CT and MRI by analyzing LI-RADS imaging features.-
dc.description.statementOfResponsibilityopen-
dc.formatapplication/pdf-
dc.languageEnglish-
dc.publisherKorean Society of Magnetic Resonance in Medicine-
dc.relation.isPartOfInvestigative Magnetic Resonance Imaging-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleDiagnostic Image Feature and Performance of CT and Gadoxetic Acid Disodium-Enhanced MRI in Distinction of Combined Hepatocellular-Cholangiocarcinoma from Hepatocellular Carcinoma-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학교실)-
dc.contributor.googleauthorHyunghu Kim-
dc.contributor.googleauthorSeung-seob Kim-
dc.contributor.googleauthorSunyoung Lee-
dc.contributor.googleauthorMyeongjee Lee-
dc.contributor.googleauthorMyeong-Jin Kim-
dc.identifier.doi10.13104/imri.2021.25.4.313-
dc.contributor.localIdA00426-
dc.contributor.localIdA05097-
dc.contributor.localIdA05996-
dc.contributor.localIdA05659-
dc.relation.journalcodeJ01186-
dc.identifier.eissn2384-1109-
dc.subject.keywordLiver neoplasms-
dc.subject.keywordCombined hepatocellular-cholangiocarcinoma-
dc.subject.keywordDifferential diagnosis-
dc.subject.keywordSensitivity and specificity-
dc.subject.keywordContrast media-
dc.contributor.alternativeNameKim, Myeong Jin-
dc.contributor.affiliatedAuthor김명진-
dc.contributor.affiliatedAuthor김승섭-
dc.contributor.affiliatedAuthor이명지-
dc.contributor.affiliatedAuthor이선영-
dc.citation.volume25-
dc.citation.number4-
dc.citation.startPage313-
dc.citation.endPage322-
dc.identifier.bibliographicCitationInvestigative Magnetic Resonance Imaging, Vol.25(4) : 313-322, 2021-12-
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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