Diagnostic accuracy of hepatic proton density fat fraction measured by magnetic resonance imaging for the evaluation of liver steatosis with histology as reference standard: a meta-analysis.

Objectives: The aim of this meta-analysis was to evaluate the diagnostic accuracy of hepatic magnetic resonance imaging-proton density fat fraction (MRI-PDFF) for the assessment of liver steatosis (LS) with histology as reference standard.Methods: A systematic literature search was performed to iden...

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Published in:European Radiology Vol. 29; no. 10; pp. 5180 - 5190
Main Authors: Qu, Yali, Li, Mou, Hamilton, Gavin, Zhang, Yingzhen N., Song, Bin
Format: research Journal Article
Published: Springer Nature Oct2019
Online Access:View this record in EBSCOhost
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      dt: Oct2019
      vid: 29
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      pub: Springer Nature
      place: New York, New York
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        138395926
        10.1007/s00330-019-06071-5
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        atl: Diagnostic accuracy of hepatic proton density fat fraction measured by magnetic resonance imaging for the evaluation of liver steatosis with histology as reference standard: a meta-analysis.
      aug:
        au:
          Qu, Yali
          Li, Mou
          Hamilton, Gavin
          Zhang, Yingzhen N.
          Song, Bin
        affil: Department of Radiology, West China Hospital of Sichuan University, No. 37 Guoxue Xiang, 610041, Chengdu, Sichuan, China
      sug:
        subj:
          Biopsy Methods
          Nonalcoholic Fatty Liver Disease Diagnosis
          Magnetic Resonance Imaging Methods
          Liver Pathology
          Human
          ROC Curve
          Reproducibility of Results
          Meta Analysis
          Ferrans and Powers Quality of Life Index
          Scales
          Funding Source
      ab: Objectives: The aim of this meta-analysis was to evaluate the diagnostic accuracy of hepatic magnetic resonance imaging-proton density fat fraction (MRI-PDFF) for the assessment of liver steatosis (LS) with histology as reference standard.Methods: A systematic literature search was performed to identify pertinent studies. Quality analyses were conducted by Quality Assessment of Diagnostic Accuracy Studies-2. Diagnostic data were extracted and inconsistency index was calculated for LS≥G1, LS≥G2, and LS=G3, respectively. The area under summary receiver operating characteristic curve (AUC) served as the indicator of diagnostic accuracy. The pooled sensitivity and specificity were calculated if threshold effect was absent.Results: Thirteen studies containing 1100 subjects were included. There was significant threshold effect for LS≥G1. The AUCs for LS≥G1, LS≥G2, and LS=G3 were 0.98 (95% confidence interval (CI) 0.76, 1.00), 0.91 (95% CI 0.89, 0.94), and 0.92 (95% CI 0.89, 0.94), respectively. The pooled sensitivities for LS≥G2 and LS=G3 were 0.83 (95% CI 0.75, 0.88) and 0.79 (95% CI 0.63, 0.90), respectively; the pooled specificities for LS≥G2 and LS=G3 were 0.89 (95% CI 0.84, 0.92) and 0.89 (95% CI 0.84, 0.92), respectively.Conclusions: MRI-PDFF has high diagnostic accuracy at detecting and grading LS with histology as reference standard, suggesting that MRI-PDFF is able to provide an accurate quantification of LS in clinical trials and patient care.Key Point: • MRI-PDFF is able to provide an accurate quantification of LS in clinical trials and patient care.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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