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MRE-based NASH score for diagnosis of nonalcoholic steatohepatitis in patients with nonalcoholic fatty liver disease

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dc.contributor.authorLee, Young-Sun-
dc.contributor.authorLee, Ji Eun-
dc.contributor.authorYi, Hyon-Seung-
dc.contributor.authorJung, Young Kul-
dc.contributor.authorJun, Dae Won-
dc.contributor.authorKim, Ji Hoon-
dc.contributor.authorSeo, Yeon Seok-
dc.contributor.authorYim, Hyung Joon-
dc.contributor.authorKim, Baek-hui-
dc.contributor.authorKim, Jeong Woo-
dc.contributor.authorLee, Chang Hee-
dc.contributor.authorYeon, Jong Eun-
dc.contributor.authorLee, Juneyoung-
dc.contributor.authorUm, Soon Ho-
dc.contributor.authorByun, Kwan Soo-
dc.date.accessioned2022-04-02T06:40:52Z-
dc.date.available2022-04-02T06:40:52Z-
dc.date.created2022-04-01-
dc.date.issued2022-04-
dc.identifier.issn1936-0533-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/139467-
dc.description.abstractBackground and aims As the prevalence of nonalcoholic fatty liver disease (NAFLD) is approximately 30% in the general population, it is important to develop a non-invasive biomarker for the diagnosis of nonalcoholic steatohepatitis (NASH). This prospective cross-sectional study aimed to develop a scoring system for NASH diagnosis through multiparametric magnetic resonance (MR) and clinical indicators. Methods Medical history, laboratory tests, and MR parameters of patients with NAFLD were assessed. A scoring system was developed using a logistic regression model. In total, 127 patients (58 with nonalcoholic fatty liver [NAFL] and 69 with NASH) were enrolled. After evaluating 23 clinical characteristics of the patients (4 categorical and 19 numeric variables) for the NASH diagnostic model, an equation for MR elastography (MRE)-based NASH score was obtained using 3 demographic factors, 2 laboratory variables, and MRE. Results The MRE-based NASH score showed a satisfactory accuracy for NASH diagnosis (c-statistics, 0.841; 95% CI 0.772-0.910). At a cut-off MRE-based NASH score of 0.68 for NASH diagnosis, its sensitivity was 0.68 and specificity was 0.91. When an MRE-based NASH score of 0.37 was used as a cut-off for NASH exclusion, the sensitivity was 0.91 and specificity was 0.55. Overall, 35% (44/127) of patients were in the gray zone (between 0.37 and 0.68). Internal validation via bootstrapping also indicated the satisfactory accuracy of NASH diagnosis (optimism-corrected statistics, 0.811). Conclusion MRE-based NASH score is a useful and accurate non-invasive biomarker for diagnosis of NASH in patients with NAFLD. [GRAHICS].-
dc.languageEnglish-
dc.language.isoen-
dc.publisherSPRINGER-
dc.subjectRISK-
dc.subjectASSOCIATION-
dc.subjectVALIDATION-
dc.subjectFIBROSIS-
dc.subjectBIOPSY-
dc.titleMRE-based NASH score for diagnosis of nonalcoholic steatohepatitis in patients with nonalcoholic fatty liver disease-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, Juneyoung-
dc.identifier.doi10.1007/s12072-022-10300-3-
dc.identifier.scopusid2-s2.0-85125698218-
dc.identifier.wosid000765700300001-
dc.identifier.bibliographicCitationHEPATOLOGY INTERNATIONAL, v.16, no.2, pp.316 - 324-
dc.relation.isPartOfHEPATOLOGY INTERNATIONAL-
dc.citation.titleHEPATOLOGY INTERNATIONAL-
dc.citation.volume16-
dc.citation.number2-
dc.citation.startPage316-
dc.citation.endPage324-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaGastroenterology & Hepatology-
dc.relation.journalWebOfScienceCategoryGastroenterology & Hepatology-
dc.subject.keywordPlusRISK-
dc.subject.keywordPlusASSOCIATION-
dc.subject.keywordPlusVALIDATION-
dc.subject.keywordPlusFIBROSIS-
dc.subject.keywordPlusBIOPSY-
dc.subject.keywordAuthorNonalcoholic fatty liver disease-
dc.subject.keywordAuthorNonalcoholic steatohepatitis-
dc.subject.keywordAuthorNonalcoholic fatty liver-
dc.subject.keywordAuthorNon-invasive diagnosis-
dc.subject.keywordAuthorMagnetic resonance imaging-
dc.subject.keywordAuthorElastography-
dc.subject.keywordAuthorFatty liver-
dc.subject.keywordAuthorScore-
dc.subject.keywordAuthorMRE-
dc.subject.keywordAuthorMRI-
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