Carotid near-occlusion is often overlooked when CT angiography is assessed in routine practice

Eur Radiol. 2020 May;30(5):2543-2551. doi: 10.1007/s00330-019-06636-4. Epub 2020 Jan 31.

Abstract

Objective: Assess the sensitivity and specificity of computed tomography angiography (CTA) for carotid near-occlusion diagnosis interpreted in clinical practice against expert assessment.

Methods: CTAs were graded by two expert interpreters for near-occlusion. Findings were compared with clinical reports in 383 consecutive cases with symptomatic ≥ 50% carotid stenosis. In addition, 14 selected CTA exams (8 near-occlusions and 6 controls) were analyzed in a national effort by 13 radiologists experienced with carotid CTA.

Results: In clinical practice, imaging reports were 20% (95% CI 12-28%) sensitive for near-occlusion, ranging 0-58% between different radiologists; specificity was 99%. Among the 13 radiologists reviewing the same 8 near-occlusions, the average sensitivity was 8%, ranging 0-75%; specificity was 100%.

Conclusions: Carotid near-occlusion is systematically under-reported in clinical routine practice, caused by limited application of grading criteria when assessing CTA.

Key points: • Carotid near-occlusion is severe stenosis with distal artery collapse; this collapse is often subtle. • A fifth of near-occlusions were detected in routine practice. Many readers mistake near-occlusion for stenosis without distal artery collapse, either by not actively searching for subtle collapses or by not interpreting the collapse correctly when noticed. • On the other hand, the novice diagnostician should be cautioned to not over-diagnose near-occlusion; other causes of extracranial ICA asymmetry also exist such as distal disease and Circle of Willis anatomical variants.

Keywords: Carotid stenosis; Computed tomography angiography; Stroke.

MeSH terms

  • Aged
  • Carotid Artery, Internal / diagnostic imaging*
  • Carotid Stenosis / diagnosis*
  • Computed Tomography Angiography / methods*
  • Female
  • Humans
  • Male
  • ROC Curve