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THE ASSOCIATION BETWEEN CORONARY ARTERY CALCIUM SCORES AND CAD-RADS CATEGORIES ON COMPUTED TOMOGRAPHY
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Abstract
Objectives: To assess the value of a predictive model for CAD – RADS categories based on coronary artery calcium (CAC) scores. Subjects and methods: A retrospective cross – sectional descriptive study was conducted on 809 patients who underwent coronary computed tomography angiography at the University Medical Center in Ho Chi Minh City from November 2020 to October 2022. Result: Among the four CAC scores examined (Agatston unit, the number of calcified regions of interest (ROIs), volume, and mass), the number of calcified ROIs demonstrated significant differences between each pair of CAD – RADS categories, while the other CAC scores did not show significant differences between CAD – RADS 4 and 5. Coronary artery disease (CAD) was categorized into two groups: non-significant (i.e., CAD – RADS 1 and 2) and significant (i.e., CAD – RADS 3 to 5). All CAC scores were significantly different between the two groups, with the determined cut – off values for Agatston unit, the number of calcified ROIs, volume, and mass were 58.8, 4, 12.2 mg, and 58.1mm3, respectively. Based on the best five fitted models using BMA method, the numbers of calcified ROIs and mass were significantly associated with significant CAD (accuracy: 73%) and the most probable CAD – RADS category (accuracy: 46.9%). Conclusion: The study findings suggest that the number of calcified ROIs and mass hold value in predicting significant CAD, but accurate prediction of CAD – RADS categories remains challenging. The determined cut – off values and the developed predictive model can serve as valuable reference for cases where coronary computed tomography angiography is not feasible
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Keywords
CAD – RADS, Coronary artery calcium scores, Coronary computed tomography angiography.
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