Diagnostic value of magnetic resonance elastography for detecting and staging of hepatic fibrosis: a meta-analysis.

Abstract

AIM:

A meta-analysis was performed to evaluate the diagnostic value of magnetic resonance elastography (MRE) in detecting and staging hepatic fibrosis.

MATERIALS AND METHODS:

A systematic search of PubMed, EMBASE, Web of Science, and Cochrane Library Database up to October 2013 was undertaken to find studies on the evaluation of MRE in patients suspected of hepatic fibrosis. Data from the articles were analysed using Meta-disc 1.4 and Stata 12.0 software. The sensitivity, specificity, and area under the summary receiver operating characteristic (ROC) curve (AUROC) were pooled for all stages of hepatic fibrosis (F ≥ 1, F ≥ 2, F ≥ 3, and F = 4). Publication bias was assessed through the Deeks' funnel plot asymmetry tests.

RESULTS:

Thirteen studies comprising 989 patients met the inclusion criteria. The pooled sensitivity and specificity for F ≥ 1, F ≥ 2, F ≥ 3, and F = 4 were 0.87 (95% CI = 0.84-0.89) and 0.92 (95% CI = 0.87-0.96), 0.87 (95% CI = 0.84-0.90) and 0.92 (95% CI = 0.89-0.95), 0.88 (95% CI = 0.85-0.91) and 0.91 (95% CI = 0.88-0.93), 0.91 (95% CI = 0.87-0.94) and 0.92 (95% CI = 0.89-0.94), respectively. The pooled AUROC for F ≥ 1, F ≥ 2, F ≥ 3, and F = 4 were 0.9502, 0.9663, 0.9644, and 0.9768, respectively. The non-significant slope of Deeks' funnel plot asymmetry tests indicated that no significant bias was found.

CONCLUSIONS:

MRE has a high diagnostic accuracy for the quantitative detection and staging of hepatic fibrosis.

• Authors: L-N Su, S-L Guo, B-X Li, P Yang
• Journal: Clinical radiology (Clin Radiol) Vol. 69 Issue 12 Pg. e545-52 (Dec 2014) ISSN: 1365-229X [Electronic] England
• PMID: 25300557 (Publication Type: Journal Article, Meta-Analysis, Review)
• Copyright: Copyright © 2014 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

Topics

• Elasticity Imaging Techniques (methods)
• Humans
• Liver Cirrhosis (pathology)
• Magnetic Resonance Imaging (methods)
• Neoplasm Staging
• ROC Curve
• Reproducibility of Results
• Sensitivity and Specificity