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Optimal criteria for hepatocellular carcinoma diagnosis using CT in patients undergoing liver transplantation

DC FieldValueLanguage
dc.contributor.author김명수-
dc.contributor.author김명진-
dc.contributor.author김승업-
dc.contributor.author박미숙-
dc.contributor.author서니은-
dc.contributor.author안찬식-
dc.contributor.author주동진-
dc.contributor.author최진영-
dc.date.accessioned2019-07-11T03:02:21Z-
dc.date.available2019-07-11T03:02:21Z-
dc.date.issued2019-
dc.identifier.issn0938-7994-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/169822-
dc.description.abstractOBJECTIVE: To compare the diagnostic performance of various guidelines for hepatocellular carcinoma (HCC) diagnosis using computed tomography (CT) in patients undergoing liver transplantation (LT). METHODS: In total, 216 patients who underwent preoperative CT and subsequent LT were included. Two radiologists retrospectively evaluated focal hepatic lesions independently according to various guidelines and allocated patients according to the Milan criteria. The diagnostic performance of the guidelines was compared using alternative free-response receiver-operating characteristics (AFROC) analysis with bootstrapping. Comparisons of sensitivity, specificity, and accuracy of patient allocation based on the Milan criteria between guidelines were performed using logistic regression with generalized estimating equations (GEE). RESULTS: Fifty-two of 216 patients had 87 HCCs. The reader-averaged figure of merit obtained using AFROC analysis was 0.738 for the AASLD/EASL or KLCSG-NCC guidelines and 0.728 for the LI-RADS v2014 or OPTN/UNOS (bootstrapping, p = 0.005). The per-lesion sensitivity for HCCs (all and 1-2-cm lesions) was significantly higher with the AASLD/EASL (37.9-41.4% and 30.8-41.0%) than with LI-RADS (28.7% and 15.4-18.0%) (logistic regression with GEE, p = 0.008 and 0.030 for reader 1 and p = 0.005 for reader 2). The per-patient specificity (98.8-99.4%) was the same for all guidelines. The accuracy of the Milan criteria was 81.5-83.3% without significant differences among the four guidelines (logistic regression with GEE, p > 0.05). CONCLUSION: AASLD/EASL showed higher diagnostic performance and sensitivity, particularly for 1-2-cm HCCs, and the same specificity with LI-RADS. All guidelines are comparable for patient allocation based on the Milan criteria for LT. KEY POINTS: • The overall diagnostic performance of CT for HCC diagnosis was highest with AASLD/EASL. • AASLD/EASL showed higher sensitivity for diagnosis of 1-2-cm HCCs than LI-RADS. • The accuracy of the Milan criteria using CT was comparable among the four guidelines.-
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.subject.MESHAdult-
dc.subject.MESHAged-
dc.subject.MESHCarcinoma, Hepatocellular/diagnostic imaging*-
dc.subject.MESHCarcinoma, Hepatocellular/pathology-
dc.subject.MESHCarcinoma, Hepatocellular/surgery*-
dc.subject.MESHContrast Media-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHLiver Neoplasms/diagnostic imaging*-
dc.subject.MESHLiver Neoplasms/pathology-
dc.subject.MESHLiver Neoplasms/surgery*-
dc.subject.MESHLiver Transplantation*-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHPractice Guidelines as Topic*-
dc.subject.MESHPreoperative Care/methods-
dc.subject.MESHROC Curve-
dc.subject.MESHRetrospective Studies-
dc.subject.MESHSensitivity and Specificity-
dc.subject.MESHTomography, X-Ray Computed/methods-
dc.titleOptimal criteria for hepatocellular carcinoma diagnosis using CT in patients undergoing liver transplantation-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Surgery (외과학교실)-
dc.contributor.googleauthorNieun Seo-
dc.contributor.googleauthorMyoung Soo Kim-
dc.contributor.googleauthorMi-Suk Park-
dc.contributor.googleauthorJin-Young Choi-
dc.contributor.googleauthorChansik An-
dc.contributor.googleauthorKyunghwa Han-
dc.contributor.googleauthorSeung Up Kim-
dc.contributor.googleauthorDong Jin Joo-
dc.contributor.googleauthorMyeong-Jin Kim-
dc.identifier.doi10.1007/s00330-018-5557-1-
dc.contributor.localIdA00424-
dc.contributor.localIdA00426-
dc.contributor.localIdA00426-
dc.contributor.localIdA00654-
dc.contributor.localIdA00654-
dc.contributor.localIdA01463-
dc.contributor.localIdA01463-
dc.contributor.localIdA01874-
dc.contributor.localIdA01874-
dc.contributor.localIdA02268-
dc.contributor.localIdA02268-
dc.contributor.localIdA03948-
dc.contributor.localIdA03948-
dc.contributor.localIdA04200-
dc.contributor.localIdA04200-
dc.relation.journalcodeJ00851-
dc.identifier.eissn1432-1084-
dc.identifier.pmid29974221-
dc.identifier.urlhttps://link.springer.com/article/10.1007%2Fs00330-018-5557-1-
dc.subject.keywordCarcinoma, hepatocellular-
dc.subject.keywordLiver transplantation-
dc.subject.keywordROC curve-
dc.subject.keywordSensitivity and specificity-
dc.subject.keywordTomography, X-ray computed-
dc.contributor.alternativeNameKim, Myoung Soo-
dc.contributor.affiliatedAuthor김명수-
dc.contributor.affiliatedAuthor김명진-
dc.contributor.affiliatedAuthor김명진-
dc.contributor.affiliatedAuthor김승업-
dc.contributor.affiliatedAuthor김승업-
dc.contributor.affiliatedAuthor박미숙-
dc.contributor.affiliatedAuthor박미숙-
dc.contributor.affiliatedAuthor서니은-
dc.contributor.affiliatedAuthor서니은-
dc.contributor.affiliatedAuthor안찬식-
dc.contributor.affiliatedAuthor안찬식-
dc.contributor.affiliatedAuthor주동진-
dc.contributor.affiliatedAuthor주동진-
dc.contributor.affiliatedAuthor최진영-
dc.contributor.affiliatedAuthor최진영-
dc.citation.volume29-
dc.citation.number2-
dc.citation.startPage1022-
dc.citation.endPage1031-
dc.identifier.bibliographicCitationEUROPEAN RADIOLOGY, Vol.29(2) : 1022-1031, 2019-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers

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