Diagnostic performance of CT and MRI on the detection of symptomatic intracranial dural arteriovenous fistula: a meta-analysis with indirect comparison

Neuroradiology. 2016 Aug;58(8):753-63. doi: 10.1007/s00234-016-1696-8. Epub 2016 May 16.

Abstract

Introduction: This study aims to review the diagnostic performance of computed tomography (CT) and magnetic resonance imaging (MRI) in symptomatic dural arteriovenous fistula (DAVF).

Methods: EMBASE, PubMed, and Cochrane Library were searched until April 2015 for studies which compared CT, MRI, or both with angiography for the detection of DAVF. The diagnostic performances of MRI and CT were indirectly compared using modality as a covariate in the analysis.

Results: Thirteen studies met our inclusion criteria. MRI had a sensitivity of 0.90 (95 % confidence interval (CI) = 0.83-0.94) and specificity of 0.94 (95 % CI = 0.90-0.96). CT had a sensitivity of 0.80 (95 % CI = 0.62-0.90) and specificity of 0.87 (95 % CI = 0.74-0.94). MRI showed better diagnostic performance than CT (p = 0.02). Contrast medium use and time-resolved MR angiography did not improve MRI diagnostic performance (p = 0.31 and 0.44, respectively).

Conclusion: Both CT and MRI had good diagnostic performance. MRI was better than CT on the detection of symptomatic intracranial dural arteriovenous fistula in the indirect comparison.

Keywords: Arteriovenous fistula; CT; Diagnosis; MR; Meta-analysis.

Publication types

  • Comparative Study
  • Evaluation Study
  • Meta-Analysis
  • Review

MeSH terms

  • Cerebral Angiography / methods*
  • Cerebral Angiography / statistics & numerical data
  • Computed Tomography Angiography / methods*
  • Computed Tomography Angiography / statistics & numerical data
  • Female
  • Humans
  • Intracranial Arteriovenous Malformations / diagnostic imaging*
  • Intracranial Arteriovenous Malformations / epidemiology
  • Magnetic Resonance Angiography / methods*
  • Magnetic Resonance Angiography / statistics & numerical data
  • Male
  • Middle Aged
  • Observer Variation
  • Prevalence
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Symptom Assessment