AI-CVD Summary
Coronary Calcification
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Aortic Calcification
Epicardial Fat
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Cardiac Chambers
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Aorta & PA Size
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Lung LAI
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Lung HAI
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Liver Fat
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Muscle & Visceral Fat
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Bone Density
AI-CVD Bundle
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Thoracic Aortic Calcification (TAC): Stroke and CVD Prediction
Thoracic Aortic Calcification (TAC) predicts stroke and CVD mortality with greater precision when combined with traditional risk factors. TAC, an often-overlooked finding in CAC scans, predicts stroke and CVD mortality with greater precision when combined with traditional risk factors. As a marker of systemic atherosclerosis, TAC enhances risk stratification for cerebrovascular events, broadening the utility of CAC scans.
Enhanced Risk Stratification with AI-CVD®
The integration of TAC with traditional risk factors, such as hypertension, diabetes, and cholesterol levels, enhances the predictive accuracy for stroke and CVD mortality. HeartLung's AI-CVD® leverages advanced AI algorithms to combine TAC data with these risk factors, providing a comprehensive evaluation of a patient's cardiovascular risk profile. This approach facilitates early intervention and targeted treatment strategies, helping to identify high-risk individuals who may benefit from more aggressive management.
Clinical Implications of TAC
Thoracic Aortic Calcification (TAC) is a significant marker of systemic atherosclerosis, providing valuable insights into cardiovascular health. Its presence in CAC scans can indicate advanced atherosclerotic disease, which is associated with an increased risk of stroke and cardiovascular disease (CVD) mortality.
By incorporating TAC into HeartLung's AI-CVD® assessments, healthcare professionals can achieve more precise stratification of patients at risk for cerebrovascular events.
