Multiparametric US for Identifying Patient with High-Risk NASH: A Derivation and Validation Study
DC Field | Value | Language |
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dc.contributor.author | Sugimoto, Katsutoshi | - |
dc.contributor.author | Lee, Dong Ho | - |
dc.contributor.author | Lee, Jae Young | - |
dc.contributor.author | Yu, Su Jong | - |
dc.contributor.author | Moriyasu, Fuminori | - |
dc.contributor.author | Sakamaki, Kentaro | - |
dc.contributor.author | Oshiro, Hisashi | - |
dc.contributor.author | Takahashi, Hiroshi | - |
dc.contributor.author | Kakegawa, Tatsuya | - |
dc.contributor.author | Tomita, Yusuke | - |
dc.contributor.author | Abe, Masakazu | - |
dc.contributor.author | Yoshimasu, Yu | - |
dc.contributor.author | Takeuchi, Hirohito | - |
dc.contributor.author | Choi, Byung Ihn | - |
dc.contributor.author | Itoi, Takao | - |
dc.date.accessioned | 2023-03-08T09:34:34Z | - |
dc.date.available | 2023-03-08T09:34:34Z | - |
dc.date.issued | 2021-12 | - |
dc.identifier.issn | 0033-8419 | - |
dc.identifier.issn | 1527-1315 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/61938 | - |
dc.description.abstract | Background: 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.extent | 10 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | RADIOLOGICAL SOC NORTH AMERICA (RSNA) | - |
dc.title | Multiparametric US for Identifying Patient with High-Risk NASH: A Derivation and Validation Study | - |
dc.type | Article | - |
dc.identifier.doi | 10.1148/radiol.2021210046 | - |
dc.identifier.bibliographicCitation | RADIOLOGY, v.301, no.3, pp 625 - 634 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000755721700032 | - |
dc.identifier.scopusid | 2-s2.0-85120078640 | - |
dc.citation.endPage | 634 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 625 | - |
dc.citation.title | RADIOLOGY | - |
dc.citation.volume | 301 | - |
dc.type.docType | Article | - |
dc.publisher.location | 미국 | - |
dc.subject.keywordPlus | FATTY LIVER-DISEASE | - |
dc.subject.keywordPlus | FIBROSIS STAGE | - |
dc.subject.keywordPlus | SCORING SYSTEM | - |
dc.subject.keywordPlus | ELASTOGRAPHY | - |
dc.subject.keywordPlus | STEATOSIS | - |
dc.subject.keywordPlus | ULTRASOUND | - |
dc.subject.keywordPlus | ALGORITHM | - |
dc.subject.keywordPlus | MORTALITY | - |
dc.subject.keywordPlus | NAFLD | - |
dc.relation.journalResearchArea | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.relation.journalWebOfScienceCategory | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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