Coronary artery disease reporting and data system (CAD-RADSTM): Inter-observer agreement for assessment categories

Christopher D Maroules1, Christian Hamilton-Craig2, Kelley Branch3

  • 1Department of Radiology, Naval Medical Center, Portsmouth, VA, United States; Miami Cardiac and Vascular Institute, Baptist Health South Florida, Miami, FL, United States.

Insights

The Coronary Artery Disease Reporting and Data System (CAD-RADS) shows excellent inter-observer agreement for reporting coronary CT angiography, suggesting feasibility for clinical use. Agreement is slightly better with expert readers and high image quality, though fair for high-risk plaque.

Area of Science:

  • Cardiovascular Imaging
  • Radiology Reporting Systems

Background:

  • The Coronary Artery Disease Reporting and Data System (CAD-RADS) standardizes reporting for coronary CT angiography.
  • Standardized reporting systems are crucial for consistent interpretation of complex imaging data.

Purpose of the Study:

  • To evaluate the inter-observer agreement of the CAD-RADS lexicon among cardiac imaging readers.
  • To assess the impact of reader experience and image quality on CAD-RADS agreement.

Main Methods:

  • Four early career and four expert readers independently evaluated 50 coronary CT angiography cases using CAD-RADS.
  • Image quality was assessed on a Likert scale; agreement was measured using intra-class correlation (ICC) and Fleiss' Kappa (κ).
  • Reader experience and image quality effects on agreement were analyzed.

Main Results:

  • Excellent inter-observer agreement was found for CAD-RADS assessment categories (ICC 0.958).
  • Agreement was marginally stronger in expert readers and with high image quality.
  • Excellent agreement was observed for stent (S) and bypass graft (G) modifiers, but only fair agreement for high-risk plaque (V) (κ=0.40).

Conclusions:

  • CAD-RADS demonstrates excellent inter-observer reproducibility for assessment categories and most modifiers.
  • Modifier V (high-risk plaque) showed only fair agreement, warranting further attention.
  • The findings support the clinical feasibility of implementing CAD-RADS.
Abstract

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