Deep Learning CAC from routine Noncardiac CT Scans may predict cardiovascular risk: JACC
USA: Incidental findings of coronary artery calcium (CAC), detected using artificial intelligence (AI) algorithms during non-cardiac computed tomography (CT) scans, are prevalent and associated with an increased risk of death, according to recent research.
The study published in the Journal Of The American College Of Cardiology by Allison W. Peng and colleagues emphasises the importance of recognizing CAC in non-gated chest CT scans, which are often performed for noncardiac reasons, as it could lead to early prevention strategies.
The study examined data from 5,678 adults without known heart disease or metastatic cancer who underwent non-contrast, non-ECG-gated chest CT scans between 2014 and 2019.
The key findings include:
Approximately 52% of participants had CAC greater than zero as detected by an AI-enabled algorithm.
Among those with CAC, 33.4% had a CAC score of 100 or higher.
Individuals with a CAC score of 100 or higher were older, more likely to be male, and had a higher estimated 10-year atherosclerotic cardiovascular disease (ASCVD) risk.
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