Diagnostic performance of coronary CT angiography to diagnose acute spontaneous coronary artery dissection

Lukas J Moser1, Tristan T Demmert1, Konstantin Klambauer1

  • 1Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Insights

Coronary CT angiography (coronary CTA) shows low sensitivity for diagnosing spontaneous coronary artery dissection (SCAD), but high specificity. This imaging may help defer invasive coronary angiography in select SCAD cases.

Area of Science:

  • Cardiovascular Imaging
  • Diagnostic Performance
  • Interventional Cardiology

Background:

  • Spontaneous coronary artery dissection (SCAD) diagnosis relies on invasive coronary angiography (ICA).
  • Limited data exists on coronary CT angiography (coronary CTA) diagnostic performance for SCAD.
  • This study aimed to assess coronary CTA's accuracy in diagnosing acute SCAD.

Purpose of the Study:

  • Evaluate the diagnostic performance of coronary CTA in identifying acute SCAD.
  • Compare coronary CTA findings with ICA as the gold standard.
  • Analyze factors influencing diagnostic accuracy, including lesion location and myocardial hypodensity.

Main Methods:

  • Prospective single-center study of 52 SCAD patients and 70 controls.
  • Coronary CTA performed on all participants; ICA used as reference standard.
  • Two blinded readers assessed coronary CTA for SCAD, calculating sensitivity, specificity, and accuracy.

Main Results:

  • Coronary CTA demonstrated low patient-level sensitivity (52-58%) but high specificity (97%) for SCAD diagnosis.
  • Accuracy was higher for proximal SCAD (93-94%) compared to distal SCAD (76-80%).
  • Myocardial hypodensity improved sensitivity but decreased specificity.

Conclusions:

  • Coronary CTA exhibits poor sensitivity but high specificity for SCAD diagnosis, regardless of lesion location.
  • Coronary CTA may assist in deferring invasive coronary angiography in specific SCAD cases, particularly when conservative management is planned.
Abstract

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