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Diagnostic accuracy of prospective application of the Liver Imaging Reporting and Data System (LI-RADS) in gadoxetate-enhanced MRI

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dc.contributor.author김명진-
dc.contributor.author김성원-
dc.contributor.author김연윤-
dc.contributor.author안찬식-
dc.date.accessioned2018-08-28T17:11:15Z-
dc.date.available2018-08-28T17:11:15Z-
dc.date.issued2018-
dc.identifier.issn0938-7994-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/162351-
dc.description.abstractOBJECTIVES: To evaluate the diagnostic performance of the LI-RADS (v2014) on gadoxetate-enhanced MRI prospectively applied in actual practice. METHODS: We retrospectively reviewed the prospectively written radiology reports of 143 treatment-naive at-risk patients who underwent gadoxetate-enhanced liver MRI from January to December 2014, and identified 202 hepatic observations categorized using the LI-RADS. The diagnostic performances of LI-RADS categories for hepatocellular carcinoma (HCC) and hepatic malignancy were calculated. RESULTS: Twenty (69.0 %) of 29 LR-4, 73 (97.3 %) of 75 LR-5, and all of five (100 %) LR-5V observations were HCCs. The remaining two (2.7 %) LR-5 observations were combined hepatocellular-cholangiocarcinomas, while 10 (76.9 %) of 13 LR-M observations were HCCs. The sensitivity and specificity of LR-5/5V for HCC were 60.5 % and 97.3 %, respectively. Including LR-M in the diagnostic criteria for HCC increased sensitivity (68.2 %, p = 0.002) but decreased specificity without statistical significance (93.2 %, p = 0.154). LR-5/5V/M yielded sensitivity of 68.9 % and specificity of 100.0 % for hepatic malignancy. CONCLUSIONS: LI-RADS v2014 was successfully applied on gadoxetate-enhanced MRI in clinical practice. LR-5/5V was the most specific diagnostic measure for HCC, but most LR-M observations were HCCs and a considerable portion of non-HCC malignancies were categorized as LR-4 or LR-5. KEY POINTS: * LR-5/5V provided a highly specific diagnosis for HCC. * Half of non-HCC malignancies were categorized as LR-4 or LR-5. * The majority of LR-M observations were finally diagnosed as HCCs. * More sensitive diagnosis of HCC was feasible with LR-5/5V/M on gadoxetate-enhanced MRI. * Observations in either LR-5/5V or LR-M categories were definitely malignant.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherSpringer International-
dc.relation.isPartOfEUROPEAN RADIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.titleDiagnostic accuracy of prospective application of the Liver Imaging Reporting and Data System (LI-RADS) in gadoxetate-enhanced MRI-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Radiology-
dc.contributor.googleauthorYeun-Yoon Kim-
dc.contributor.googleauthorChansik An-
dc.contributor.googleauthorSungwon Kim-
dc.contributor.googleauthorMyeong-Jin Kim-
dc.identifier.doi10.1007/s00330-017-5188-y-
dc.contributor.localIdA00426-
dc.contributor.localIdA05309-
dc.contributor.localIdA04902-
dc.contributor.localIdA02268-
dc.relation.journalcodeJ00851-
dc.identifier.eissn1432-1084-
dc.identifier.pmid29230525-
dc.identifier.urlhttps://link.springer.com/article/10.1007%2Fs00330-017-5188-y-
dc.subject.keywordDiagnosis-
dc.subject.keywordGadolinium DTPA disodium salt-
dc.subject.keywordLiver-
dc.subject.keywordMagnetic resonance imaging-
dc.subject.keywordSensitivity and Specificity-
dc.contributor.alternativeNameKim, Myeong Jin-
dc.contributor.alternativeNameKim, Sungwon-
dc.contributor.alternativeNameKim, Yeun Yoon-
dc.contributor.alternativeNameAn, Chan Sik-
dc.contributor.affiliatedAuthorKim, Myeong Jin-
dc.contributor.affiliatedAuthorKim, Sungwon-
dc.contributor.affiliatedAuthorKim, Yeun Yoon-
dc.contributor.affiliatedAuthorAn, Chan Sik-
dc.citation.volume28-
dc.citation.number5-
dc.citation.startPage2038-
dc.citation.endPage2046-
dc.identifier.bibliographicCitationEUROPEAN RADIOLOGY, Vol.28(5) : 2038-2046, 2018-
dc.identifier.rimsid59935-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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