The diagnostic accuracy of acetabular labral tears using magnetic resonance imaging and magnetic resonance arthrography: a meta-analysis

Eur Radiol. 2011 Apr;21(4):863-74. doi: 10.1007/s00330-010-1956-7. Epub 2010 Sep 22.

Abstract

Objectives: Magnetic resonance imaging (MRI) and magnetic resonance arthrography (MRA) have been advocated for the diagnosis of acetabular labral tears. The purpose of this study was to determine the sensitivity and specificity of MRI and MRA in diagnosing acetabular labral tears using meta-analysis.

Methods: Pertinent published and unpublished literature databases were reviewed. A two-by-two table was constructed to calculate the sensitivity and specificity of MRI or MRA investigations against surgical outcomes. Pooled sensitivity and specificity and Receiver Operating Characteristic curve (ROC) evaluations were performed. Methodological quality of each study was assessed using the QUADAS (Quality Assessment of Diagnostic Accuracy Studies) tool.

Results: Nineteen papers assessing 881 hips were reviewed. Conventional MRI was assessed in 13 studies and MRA was assessed in 16 studies. Whilst both MRI (0.5-3T) and MRA (0.5-3T) presented with a moderate sensitivity and specificity (sensitivity 66%, 87%; specificity 79%, 64%), diagnostic accuracy of MRA appeared to be superior to MRI in detecting acetabular labral tears on ROC curve interpretation. The literature poorly described population characteristics, assessor blinding, with limited sample sizes.

Conclusions: MRI and MRA may be useful adjuncts in the diagnosis of acetabular labral tears in adults. MRA appears to be superior to conventional MRI.

Publication types

  • Meta-Analysis

MeSH terms

  • Acetabulum / injuries
  • Acetabulum / pathology*
  • Acetabulum / surgery
  • Adult
  • Arthrography / methods*
  • Arthroscopy / methods*
  • Cartilage, Articular / pathology*
  • Female
  • Hip Injuries / pathology*
  • Hip Injuries / surgery
  • Hip Joint / pathology
  • Humans
  • Magnetic Resonance Imaging / methods*
  • Male
  • Predictive Value of Tests
  • Quality Control
  • Sensitivity and Specificity
  • Treatment Outcome