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LI-RADS Classification and Prognosis of Primary Liver Cancers at Gadoxetic Acid-enhanced MRI

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dc.contributor.authorChoi, Sang Hyun-
dc.contributor.authorLee, Seung Soo-
dc.contributor.authorPark, So Hyun-
dc.contributor.authorKim, Kang Mo-
dc.contributor.authorYu, Eunsil-
dc.contributor.authorPark, Yangsoon-
dc.contributor.authorShin, Yong Moon-
dc.contributor.authorLee, Moon-Gyu-
dc.date.available2020-02-27T04:41:55Z-
dc.date.created2020-02-05-
dc.date.issued2019-02-
dc.identifier.issn0033-8419-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/1888-
dc.description.abstractPurpose: To (a) evaluate the postsurgical prognostic implication of the Liver Imaging Reporting and Data System (LI-RADS) categories of primary liver cancers and (b) determine the performance of LI-RADS version 2017 in differentiating hepatocellular carcinoma (HCC) from intrahepatic cholangiocarcinoma (IHCC) and combined hepatocellular-cholangiocarcinoma (cHCC-CC) at gadoxetic acid-enhanced MRI. Materials and Methods: In this retrospective study, 194 patients with cirrhosis and surgically proven single primary liver cancer (53 with cHCC-CC, 44 with IHCC, and 97 with HCC) were evaluated with gadoxetic acid-enhanced MRI between 2009 and 2014. The mean patient age was 57 years (age range, 30-83 years). There were 155 men with a mean age of 56 years (range, 30-81 years) and 39 women with a mean age of 58 years (range, 38-83 years). Two independent readers assigned an LI-RADS category for each nodule. Overall survival (OS), recurrence-free survival (RFS), and their associated factors were evaluated by using the Kaplan-Meier method, log-rank test, and Cox proportional hazard model. Results: In the multivariable analysis, the LI-RADS category was an independent factor for OS (hazard ratio, 4.2; P<.001) and RFS (hazard ratio, 2.6; P =.01). The LR-M category showed more correlation with poorer OS and RFS than did the LR-4 or LR-5 category for all primary liver cancers (P<.001 for both), HCCs (P =.01 and P<.001, respectively), and cHCC-CCs (P =.01 and P =.03, respectively). The LR-5 category had a sensitivity of 69% (67 of 97) and a specificity of 87% (84 of 97) in the diagnosis of HCC; most false-positive diagnoses (85%, 11 of 13) were the result of misclassification of cHCC-CCs. Conclusion: The Liver Imaging Reporting and Data System (LI-RADS) category was associated with postsurgical prognosis of primary liver cancers, independent of pathologic diagnosis. The LI-RADS enabled the correct classification of most hepatocellular carcinomas (HCCs) and intrahepatic cholangiocarcinomas, whereas differentiation of combined hepatocellular-cholangiocarcinoma from HCC was unreliable. (c) RSNA, 2018-
dc.language영어-
dc.language.isoen-
dc.publisherRADIOLOGICAL SOC NORTH AMERICA-
dc.relation.isPartOfRADIOLOGY-
dc.subjectCOMBINED HEPATOCELLULAR-CHOLANGIOCARCINOMA-
dc.subjectDATA SYSTEM V2014-
dc.subjectINTRAHEPATIC CHOLANGIOCARCINOMA-
dc.subjectIMAGING FEATURES-
dc.subjectCARCINOMA-
dc.subjectCT-
dc.subjectDIFFERENTIATION-
dc.subjectTRANSPLANTATION-
dc.subjectPATTERNS-
dc.titleLI-RADS Classification and Prognosis of Primary Liver Cancers at Gadoxetic Acid-enhanced MRI-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid000456444200021-
dc.identifier.doi10.1148/radiol.2018181290-
dc.identifier.bibliographicCitationRADIOLOGY, v.290, no.2, pp.388 - 397-
dc.identifier.scopusid2-s2.0-85060396859-
dc.citation.endPage397-
dc.citation.startPage388-
dc.citation.titleRADIOLOGY-
dc.citation.volume290-
dc.citation.number2-
dc.contributor.affiliatedAuthorPark, So Hyun-
dc.type.docTypeArticle-
dc.subject.keywordPlusCOMBINED HEPATOCELLULAR-CHOLANGIOCARCINOMA-
dc.subject.keywordPlusDATA SYSTEM V2014-
dc.subject.keywordPlusINTRAHEPATIC CHOLANGIOCARCINOMA-
dc.subject.keywordPlusIMAGING FEATURES-
dc.subject.keywordPlusCARCINOMA-
dc.subject.keywordPlusCT-
dc.subject.keywordPlusDIFFERENTIATION-
dc.subject.keywordPlusTRANSPLANTATION-
dc.subject.keywordPlusPATTERNS-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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