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Comparative Assessment and External Validation of Hepatic Steatosis Formulae in a Community-Based Settingopen access

Authors
Jung, Tae YangKim, Myung SubHong, Hyun PyoKang, Kyung A.Jun, Dae Won
Issue Date
Sep-2020
Publisher
MDPI
Keywords
non-alcoholic fatty liver disease; fatty liver; validation study; population groups; magnetic resonance imaging
Citation
JOURNAL OF CLINICAL MEDICINE, v.9, no.9, pp.1 - 11
Indexed
SCIE
SCOPUS
Journal Title
JOURNAL OF CLINICAL MEDICINE
Volume
9
Number
9
Start Page
1
End Page
11
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/8957
DOI
10.3390/jcm9092851
Abstract
Several hepatic steatosis formulae have been validated in various cohorts using ultrasonography. However, none of these studies has been validated in a community-based setting using the gold standard method. Thus, the aim of this study was to externally validate hepatic steatosis formulae in community-based settings using magnetic resonance imaging (MRI). A total of 1301 community-based health checkup subjects who underwent liver fat quantification with MRI were enrolled in this study. Diagnostic performance was assessed using the area under the receiver operating characteristic curve (AUROC). Non-alcoholic fatty liver disease (NAFLD) liver fat score showed the highest diagnostic performance with an AUROC of 0.72, followed by Framingham steatosis index (0.70), hepatic steatosis index (HSI, 0.69), ZJU index (0.69), and fatty liver index (FLI, 0.68). There were considerable gray zones in three fatty liver prediction models using two cutoffs (FLI, 28.9%; HSI, 48.9%; and ZJU index, 53.6%). The diagnostic performance of NAFLD liver fat score for detecting steatosis was comparable to that of ultrasonography. The diagnostic agreement was 72.7% between NAFLD liver fat score and 70.9% between ultrasound and MRI. In conclusion, the NAFLD liver fat score showed the best diagnostic performance for detecting hepatic steatosis. Its diagnostic performance was comparable to that of ultrasonography in a community-based setting.
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