Three-dimensional color Doppler sonography in carotid artery stenosis

AJNR Am J Neuroradiol. 2003 Aug;24(7):1294-9.

Abstract

Background and purpose: Color Doppler sonography (CDS) suffers from such disadvantages as high interobserver variability and problems with data presentation and storage. We therefore performed a prospective trial to assess the role of three-dimensional CDS (3D-CDS) in the evaluation of internal carotid artery stenosis (ICAS).

Methods: We included 32 consecutive patients with sonographically verified ICAS (30-99%) and 16 asymptomatic volunteers. All underwent CDS and 3D-CDS, and 23 patients also underwent intraarterial angiography. The sensitivity, specificity, positive predictive value, and negative predictive value for the detection of high-grade ICAS were analyzed by three blinded readers, who also graded the percentage of ICAS.

Results: CDS revealed 14 patients with mild to moderate ICAS and 18 patients with high-grade ICAS. Mean sensitivity of 3D-CDS was 81.5%, mean specificity was 98.9%, mean positive predictive value was 97.9%, and mean negative predictive value was 89.9%. 3D-CDS correlated significantly with CDS (mean r=0.85; P<.001) and angiography (mean r=0.57; P=.01).

Conclusion: 3D-CDS findings correlate with those obtained by CDS and angiography; 3D-CDS also offers excellent interobserver correlation, positive predictive value, and specificity, approaching 100% for the detection of high-grade ICAS.

Publication types

  • Comparative Study
  • Evaluation Study

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Angiography, Digital Subtraction
  • Blood Flow Velocity / physiology
  • Carotid Artery, Internal / diagnostic imaging*
  • Carotid Artery, Internal / physiopathology
  • Carotid Stenosis / diagnosis*
  • Carotid Stenosis / epidemiology
  • Carotid Stenosis / physiopathology
  • Female
  • Humans
  • Imaging, Three-Dimensional*
  • Male
  • Middle Aged
  • Observer Variation
  • Predictive Value of Tests
  • Prospective Studies
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Severity of Illness Index
  • Statistics as Topic
  • Ultrasonography, Doppler, Color*