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Published on: August 9, 2024
Interobserver Reliability of the Coronary Artery Disease Reporting and Data System in Clinical Practice
Jiun-Yiing Hu1, Peter J Bergquist2, Rydhwana Hossain1,3
1University of Maryland School of Medicine.
Insights
Cardiothoracic radiologists showed moderate to good interobserver reproducibility using Coronary Artery Disease Reporting and Data System (CAD-RADS) for coronary computed tomography angiography. Agreement was higher among fellows than attending radiologists.
Area of Science:
- Cardiovascular Imaging
- Radiology
- Medical Informatics
Background:
- Coronary computed tomography angiography (CCTA) is crucial for assessing coronary artery disease (CAD).
- Standardized reporting systems like Coronary Artery Disease Reporting and Data System (CAD-RADS) aim to improve consistency in CCTA interpretation.
- Evaluating interobserver reproducibility is essential for the clinical adoption and reliability of reporting standards.
Purpose of the Study:
- To assess the interobserver reproducibility of the CAD-RADS lexicon among cardiothoracic radiologists.
- To evaluate the application of CAD-RADS in describing atherosclerotic burden on CCTA.
- To compare reproducibility between attending and fellowship-trained cardiothoracic radiologists.
Main Methods:
- Retrospective analysis of 40 CCTA cases evaluated by 5 cardiothoracic radiologists (3 attending, 2 fellows).
- Independent interpretation using the CAD-RADS lexicon after standardized training.
- Interobserver reproducibility assessed using intraclass correlation (ICC) and percent agreement, with analysis of CAD-RADS scores and management categories.
Main Results:
- Overall moderate to good interobserver reproducibility for CAD-RADS (ICC: 0.748).
- Higher agreement observed among fellowship-trained radiologists (ICC: 0.853) compared to attending radiologists (ICC: 0.711).
- Reduced agreement for clinical management categories (ICC: 0.692) and in the presence of modifiers.
Conclusions:
- The CAD-RADS terminology demonstrates moderate to good interobserver reliability in clinical practice for CCTA interpretation.
- Fellowship-trained radiologists exhibit higher agreement than attending radiologists.
- Further research is needed to address causes of disagreement, particularly concerning management recommendations.
Purpose:
This study aimed to evaluate interobserver reproducibility between cardiothoracic radiologists applying the Coronary Artery Disease Reporting and Data System (CAD-RADS) to describe atherosclerotic burden on coronary computed tomography angiography.
Methods:
Forty clinical computed tomography angiography cases were retrospectively and independently evaluated by 3 attending and 2 fellowship-trained cardiothoracic radiologists using the CAD-RADS lexicon. Radiologists were blinded to patient history and underwent initial training using a practice set of 10 subjects. Interobserver reproducibility was assessed using an intraclass correlation (ICC) on the basis of single-observer scores, absolute agreement, and a 2-way random-effects model. Nondiagnostic studies were excluded. ICC was also performed for CAD-RADS scores grouped by management recommendations for absent (0), nonobstructive (1 to 2), and potentially obstructive (3 to 5) CAD.
Results:
Interobserver reproducibility was moderate to good (ICC: 0.748, 95% confidence interval [CI]: 0.639-0.842, P<0.0001), with higher agreement among cardiothoracic radiology fellows (ICC: 0.853, 95% CI: 0.730-0.922, P<0.0001) than attending radiologists (ICC: 0.711, 95% CI: 0.568-0.824, P<0.0001). Interobserver reproducibility for clinical management categories was marginally decreased (ICC: 0.692, 95% CI: 0.570-0.802, P<0.0001). The average percent agreement between pairs of radiologists was 84.74%. Percent observer agreement was significantly reduced in the presence (M=62.22%, SD=15.17%) versus the absence (M=80.91%, SD=17.97%) of modifiers, t(37.95)=3.566, P=0.001.
Conclusions:
Interobserver reliability and agreement with the CAD-RADS terminology are moderate to good in clinical practice. However, further investigations are needed to characterize the causes of interobserver disagreement that may lead to differences in management recommendations.
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