Interplay of CT Coronary Plaque Characteristics and Ischemia to Predict Adverse Outcomes

Adinan Kanda1, Pratik S Velangi1, Barrett Kenny1

  • 1Department of Medicine (A.K., P.S.V.) and Cardiovascular Division, Department of Medicine (B.K., S.D., P.S.N.), University of Minnesota Medical School, 420 Delaware St SE, MMC 508, Minneapolis, MN 55455.

Insights

High-risk plaque features on CT scans and significant coronary artery stenosis work together to predict adverse events in patients with stable coronary artery disease.

Area of Science:

  • Cardiology
  • Radiology
  • Medical Imaging

Background:

  • Stable coronary artery disease (CAD) management relies on assessing plaque burden and functional significance.
  • Current risk stratification may not fully capture combined plaque and hemodynamic information.

Purpose of the Study:

  • To investigate the synergistic role of high-risk plaque features on computed tomography (CT) angiography and invasive or non-invasive measures of physiologic stenosis in predicting adverse outcomes in stable CAD patients.

Main Methods:

  • Retrospective analysis of 134 patients with stable CAD undergoing CT angiography and assessment of coronary stenosis.
  • Coronary CT angiography was analyzed for high-risk plaque features (e.g., low attenuation plaque, positive remodeling, external vascular compression).
  • Physiologic stenosis was assessed using fractional flow reserve (FFR) or non-invasive equivalents.

Main Results:

  • High-risk plaque features and significant physiologic stenosis independently predicted adverse outcomes.
  • A synergistic interaction was observed, where the combination of both factors significantly increased the risk of adverse events compared to either factor alone.
  • Patients with both high-risk plaque and significant stenosis had the highest event rates.

Conclusions:

  • The combination of high-risk plaque features on CT angiography and significant physiologic stenosis provides a powerful, synergistic approach to risk stratification in stable CAD.
  • Integrating imaging-based plaque characteristics with functional stenosis assessment can improve prediction of adverse outcomes.

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