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Multiparametric US for Identifying Patient with High-Risk NASH: A Derivation and Validation Study

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dc.contributor.authorSugimoto, Katsutoshi-
dc.contributor.authorLee, Dong Ho-
dc.contributor.authorLee, Jae Young-
dc.contributor.authorYu, Su Jong-
dc.contributor.authorMoriyasu, Fuminori-
dc.contributor.authorSakamaki, Kentaro-
dc.contributor.authorOshiro, Hisashi-
dc.contributor.authorTakahashi, Hiroshi-
dc.contributor.authorKakegawa, Tatsuya-
dc.contributor.authorTomita, Yusuke-
dc.contributor.authorAbe, Masakazu-
dc.contributor.authorYoshimasu, Yu-
dc.contributor.authorTakeuchi, Hirohito-
dc.contributor.authorChoi, Byung Ihn-
dc.contributor.authorItoi, Takao-
dc.date.accessioned2023-03-08T09:34:34Z-
dc.date.available2023-03-08T09:34:34Z-
dc.date.issued2021-12-
dc.identifier.issn0033-8419-
dc.identifier.issn1527-1315-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/61938-
dc.description.abstractBackground: Nonalcoholic fatty liver disease (NAFLD) is common in the general population but identifying patients with high-risk -nonalcoholic steatohepatitis (NASH) who are candidates for pharmacologic therapy remains a challenge. Purpose: To develop a score to identify patients with high-risk NASH, defined as NASH with an NAFLD activity score (NAS) of 4 or greater and clinically significant fibrosis (stage 2 [F2] or higher). Materials and Methods: This was a cross-sectional secondary analysis of data prospectively collected between April 2017 and March 2019 for a group of patients with NAFLD in Japan (Japan NAFLD, the derivation data set) with contemporaneous two-dimensional shear-wave elastography and biopsy-proven NAFLD (age range, 20-89 years). Three US markers (liver stiffness [LS, measured in kilopascals], attenuation coefficient [AC, measured in decibels per centimeter per megahertz], and dispersion slope [DS, measured in meters per second per kilohertz]) were determined, together with aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels and the AST-to-ALT ratio. The best-fit multivariate logistic regression model for identifying patients with high-risk NASH was determined. Diagnostic performance was assessed by using the area under the receiver operating characteristic curve (AUC). The findings were validated in an independent data set (Korea NAFLD; age range, 20-78 years). Results: The Japan NAFLD data set included 111 patients (mean age, 53 years. 18 [standard deviation]; 57 men), 84 (76%) with NASH. The Korea NAFLD data set included 102 patients (mean age, 48 years. 18; 43 men), 55 (36%) with NASH. The most predictive model (LAD NASH score) combined LS, AC, and DS. Performance was satisfactory in both the derivation sample (AUC, 0.86; 95% CI: 0.79, 0.93) and the validation sample (AUC, 0.88; 95% CI: 0.80, 0.95). The LAD NASH score showed a positive predictive value of 86.5% and a negative predictive value of 87.5% for high-risk NASH in the derivation sample. Conclusion: A score combining three US markers may be useful for noninvasive identification of patients with high-risk nonalcoholic steatohepatitis for inclusion in clinical trials and pharmacologic therapy. (C) RSNA, 2021-
dc.format.extent10-
dc.language영어-
dc.language.isoENG-
dc.publisherRADIOLOGICAL SOC NORTH AMERICA (RSNA)-
dc.titleMultiparametric US for Identifying Patient with High-Risk NASH: A Derivation and Validation Study-
dc.typeArticle-
dc.identifier.doi10.1148/radiol.2021210046-
dc.identifier.bibliographicCitationRADIOLOGY, v.301, no.3, pp 625 - 634-
dc.description.isOpenAccessN-
dc.identifier.wosid000755721700032-
dc.identifier.scopusid2-s2.0-85120078640-
dc.citation.endPage634-
dc.citation.number3-
dc.citation.startPage625-
dc.citation.titleRADIOLOGY-
dc.citation.volume301-
dc.type.docTypeArticle-
dc.publisher.location미국-
dc.subject.keywordPlusFATTY LIVER-DISEASE-
dc.subject.keywordPlusFIBROSIS STAGE-
dc.subject.keywordPlusSCORING SYSTEM-
dc.subject.keywordPlusELASTOGRAPHY-
dc.subject.keywordPlusSTEATOSIS-
dc.subject.keywordPlusULTRASOUND-
dc.subject.keywordPlusALGORITHM-
dc.subject.keywordPlusMORTALITY-
dc.subject.keywordPlusNAFLD-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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