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Nongated coronary artery calcium (CAC) scoring from routine chest CT scans can predict cardiovascular events as reliably as standard gated CAC scans, offering widespread opportunities for risk stratification and preventive care.
This study assesses how coronary artery calcium (CAC) scoring refines statin eligibility using the new PREVENT risk calculator, emphasizing its value in borderline risk patients and cautioning against withholding statins solely for CAC 0 in
A large-scale multicohort study demonstrates that while elevated Lipoprotein(a) increases cardiovascular risk, Coronary Artery Calcium (CAC) scoring remains a powerful independent predictor of events, even in patients with high Lp(a) levels
A large multicohort study involving 11,319 participants confirms that Coronary Artery Calcium (CAC) scoring effectively stratifies cardiovascular risk even in individuals with high Lipoprotein(a), providing clinical clarity for personalized
AI-driven analysis of routine chest CTs reveals that coronary artery calcium is highly prevalent and strongly predictive of MACE and mortality in patients with IMIDs, identifying a critical treatment gap in this high-risk population.
In a Swedish cohort of 24,791 adults aged 50–64, adding CCTA-derived measures of coronary atherosclerosis to pooled cohort equations and coronary artery calcium score modestly improved prediction of first coronary events over ~8 years.
AI-CAC enables automated, accurate coronary artery calcium scoring from routine chest CTs, offering scalable, opportunistic cardiovascular risk stratification across diverse populations.
