Diagnostic Accuracy of 2D-Shear Wave Elastography for Liver Fibrosis Severity: A Meta-Analysis.
meta_analysis · Level I
Where this comes from
- Record sourced from PubMed, PMID 27300569.
- Also identified by DOI 10.1371/journal.pone.0157219 and PMC identifier 4907490.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
PURPOSE: To evaluate the accuracy of shear wave elastography (SWE) in the quantitative diagnosis of liver fibrosis severity. METHODS: The published literatures were systematically retrieved from PubMed, Embase, Web of science and Scopus up to May 13th, 2016. Included studies reported the pooled sensitivity, specificity, positive and negative predictive values, as well as the diagnostic odds ratio of SWE in populations with liver fibrosis. A bivariate mixed-effects regression model was used, which was estimated by the I2 statistics. The quality of articles was evaluated by quality assessment of diagnostic accuracy studies (QUADAS). RESULTS: Thirteen articles including 2303 patients were qualified for the study. The pooled sensitivity and specificity of SWE for the diagnosis of liver fibrosis are as follows: ≥F1 0.76 (p<0.001, 95% CI, 0.71-0.81, I2 = 75.33%), 0.92 (p<0.001, 95% CI, 0.80-0.97, I2 = 79.36%); ≥F2 0.84 (p = 0.35, 95% CI, 0.81-0.86, I2 = 9.55%), 0.83 (p<0.001, 95% CI, 0.77-0.88, I2 = 86.56%); ≥F3 0.89 (p = 0.56, 95% CI, 0.86-0.92, I2 = 0%), 0.86 (p<0.001, 95% CI, 0.82-0.90, I2 = 75.73%); F4 0.89 (p = 0.24, 95% CI, 0.84-0.92, I2 = 20.56%), 0.88 (p<0.001, 95% CI, 0.84-0.92, I2 = 82.75%), respectively. Sensitivity analysis showed no significant changes if any one of the studies was excluded. Publication bias was not detected in this meta-analysis. CONCLUSIONS: Our study suggests that SWE is a helpful method to appraise liver fibrosis severity. Future studies that validate these findings would be appropriate.
Medical subject headings
- Elasticity Imaging Techniques
- Liver
- Liver Cirrhosis