Publications by authors named "Kyle C Atlas"
Article Synopsis
- AI-CAC automated left atrial volumetry offers more actionable insights compared to traditional methods like the Agatston coronary artery calcium score, predicting atrial fibrillation (AF) as early as one year.
- The study evaluated the effectiveness of AI-CAC against human-measured left atrial volumes using cardiac magnetic resonance imaging (CMRI) in predicting AF and stroke, alongside established risk scores and biomarkers.
- Results showed that AI-CAC and CMRI provided similar predictive capabilities for AF and stroke over a 15-year period, indicating potential for AI-CAC in clinical settings, but further research is needed to confirm its utility.
AI-enabled Left Atrial Volumetry in Cardiac CT Scans Improves CHARGE-AF and Outperforms NT-ProBNP for Prediction of Atrial Fibrillation in Asymptomatic Individuals: Multi-Ethnic Study of Atherosclerosis.
Morteza Naghavi David Yankelevitz Anthony P Reeves Matthew J Budoff Dong Li Kyle C Atlas Thomas L Atlas
medRxiv
January 2024
Background: Coronary artery calcium (CAC) scans contain actionable information beyond CAC scores that is not currently reported.
Methods: We have applied artificial intelligence-enabled automated cardiac chambers volumetry to CAC scans (AI-CAC), taking on average 21 seconds per CAC scan, to 5535 asymptomatic individuals (52.2% women, ages 45-84) that were previously obtained for CAC scoring in the baseline examination (2000-2002) of the Multi-Ethnic Study of Atherosclerosis (MESA).