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Diagnostic performance of magnetic resonance technology in detecting steatosis or fibrosis in patients with nonalcoholic fatty liver disease: A meta-analysis

BACKGROUND: The aim of this study was to evaluate the diagnostic accuracy of magnetic resonance (MR) imaging-based methods for detecting steatosis and fibrosis in nonalcoholic fatty liver disease (NAFLD). METHODS: Data were extracted from research articles obtained after a literature search from mul...

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Autores principales: Wang, Xiao-min, Zhang, Xiao-jing, Ma, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6392510/
https://www.ncbi.nlm.nih.gov/pubmed/29794735
http://dx.doi.org/10.1097/MD.0000000000010605
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author Wang, Xiao-min
Zhang, Xiao-jing
Ma, Lin
author_facet Wang, Xiao-min
Zhang, Xiao-jing
Ma, Lin
author_sort Wang, Xiao-min
collection PubMed
description BACKGROUND: The aim of this study was to evaluate the diagnostic accuracy of magnetic resonance (MR) imaging-based methods for detecting steatosis and fibrosis in nonalcoholic fatty liver disease (NAFLD). METHODS: Data were extracted from research articles obtained after a literature search from multiple electronic databases. Random-effects meta-analyses were performed to obtain overall effect size of the area of operator receiver curve (AUROC), sensitivity and specificity of MR imaging, MR elastography, and MR spectroscopy in detecting or grading steatosis/fibrosis. Meta-analysis of correlation coefficients was performed to have an overall effect size of correlation between MR-based diagnosis and histological diagnosis. RESULTS: Twenty-one studies (1658 subjects; 45.32 years [95% CI: 35.94, 54.71] of age, 53.67% [45.39, 61.95] males, and 29.98 kg/m(2) [21.93, 38.04] BMI) were included in the meta-analysis. Pooled analyses of the AUROC, specificity, and sensitivity values reported in the individual studies revealed an overall effect sizes of 0.90 (0.88, 0.92), 82.27% (77.74, 86.80), and 86.94% (84.18, 95.28) in the use of any MR-based technique for the diagnosis of NAFLD or its severity. The correlation coefficient between MR-based detection of liver steatosis and histologically measured steatosis was 0.748 (0.706, 0.789) (P < .00001). CONCLUSION: MRI-based diagnostic methods are valuable additions in detecting NAFLD or determining the severity of the NAFLD.
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spelling pubmed-63925102019-03-15 Diagnostic performance of magnetic resonance technology in detecting steatosis or fibrosis in patients with nonalcoholic fatty liver disease: A meta-analysis Wang, Xiao-min Zhang, Xiao-jing Ma, Lin Medicine (Baltimore) Research Article BACKGROUND: The aim of this study was to evaluate the diagnostic accuracy of magnetic resonance (MR) imaging-based methods for detecting steatosis and fibrosis in nonalcoholic fatty liver disease (NAFLD). METHODS: Data were extracted from research articles obtained after a literature search from multiple electronic databases. Random-effects meta-analyses were performed to obtain overall effect size of the area of operator receiver curve (AUROC), sensitivity and specificity of MR imaging, MR elastography, and MR spectroscopy in detecting or grading steatosis/fibrosis. Meta-analysis of correlation coefficients was performed to have an overall effect size of correlation between MR-based diagnosis and histological diagnosis. RESULTS: Twenty-one studies (1658 subjects; 45.32 years [95% CI: 35.94, 54.71] of age, 53.67% [45.39, 61.95] males, and 29.98 kg/m(2) [21.93, 38.04] BMI) were included in the meta-analysis. Pooled analyses of the AUROC, specificity, and sensitivity values reported in the individual studies revealed an overall effect sizes of 0.90 (0.88, 0.92), 82.27% (77.74, 86.80), and 86.94% (84.18, 95.28) in the use of any MR-based technique for the diagnosis of NAFLD or its severity. The correlation coefficient between MR-based detection of liver steatosis and histologically measured steatosis was 0.748 (0.706, 0.789) (P < .00001). CONCLUSION: MRI-based diagnostic methods are valuable additions in detecting NAFLD or determining the severity of the NAFLD. Wolters Kluwer Health 2018-05-25 /pmc/articles/PMC6392510/ /pubmed/29794735 http://dx.doi.org/10.1097/MD.0000000000010605 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle Research Article
Wang, Xiao-min
Zhang, Xiao-jing
Ma, Lin
Diagnostic performance of magnetic resonance technology in detecting steatosis or fibrosis in patients with nonalcoholic fatty liver disease: A meta-analysis
title Diagnostic performance of magnetic resonance technology in detecting steatosis or fibrosis in patients with nonalcoholic fatty liver disease: A meta-analysis
title_full Diagnostic performance of magnetic resonance technology in detecting steatosis or fibrosis in patients with nonalcoholic fatty liver disease: A meta-analysis
title_fullStr Diagnostic performance of magnetic resonance technology in detecting steatosis or fibrosis in patients with nonalcoholic fatty liver disease: A meta-analysis
title_full_unstemmed Diagnostic performance of magnetic resonance technology in detecting steatosis or fibrosis in patients with nonalcoholic fatty liver disease: A meta-analysis
title_short Diagnostic performance of magnetic resonance technology in detecting steatosis or fibrosis in patients with nonalcoholic fatty liver disease: A meta-analysis
title_sort diagnostic performance of magnetic resonance technology in detecting steatosis or fibrosis in patients with nonalcoholic fatty liver disease: a meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6392510/
https://www.ncbi.nlm.nih.gov/pubmed/29794735
http://dx.doi.org/10.1097/MD.0000000000010605
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