OBJECTIVES: The purpose of this study was to assess the performance of SuperSonic shear imaging (SuperSonic Imagine SA, Aix-en-Provence, France) for diagnosis of @entity1575 . METHODS: Literature databases were searched to identify relevant studies from inception to February 28, 2015. Sensitivity, specificity, and other information were extracted from the studies. Pooled data were calculated by a bivariate mixed-effects binary regression model. Subgroup and sensitivity analyses were performed. Publication bias was tested by funnel plots. RESULTS: Twelve studies were included in this meta-analysis and reported on 1635 @entity1 . The pooled sensitivity and specificity were 0.78 (95% confidence interval [CI], 0.69-0.85) and 0.95 (95% CI, 0.75-0.99), respectively, for @entity82 stages F>= 1, 0.84 (95% CI, 0.81-0.86) and 0.81 (95% CI, 0.74-0.87) for F>= 2, 0.89 (95% CI, 0.85-0.93) and 0.84 (95% CI, 0.77-0.89) for F>= 3, and 0.88 (95% CI, 0.82-0.91) and 0.86 (95% CI, 0.81-0.90) for F=4. The areas under the summary receiver operating characteristic curves were 0.87 (95% CI, 0.84-0.90) for F>= 1, 0.85 (95% CI, 0.81-0.88) for F>= 2, 0.93 (95% CI, 0.91-0.95) for F>= 3, and 0.93 (95% CI, 0.90-0.95) for F=4. No significant publication bias was found. CONCLUSIONS: SuperSonic shear imaging could be used for staging of @entity1575 . Especially, it has high diagnostic accuracy for severe @entity82 and @entity82 .

Diagnostic Accuracy of SuperSonic Shear Imaging for Staging of XXXX : A Meta-analysis.

@entity1575 :: ('MESH:D008103', 'Disease') :: ['liver fibrosis'] @entity1 :: ('9606', 'Species') :: ['patients'] @entity82 :: ('MESH:D005355', 'Disease') :: ['cirrhosis', 'fibrosis']
@entity1575 :: (MESH:D008103,Disease) :: ['Liver Fibrosis']
