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Coronary artery calcium (CAC) is a marker of overall coronary atherosclerotic burden. As such, it is an important tool in cardiovascular risk stratification and preventive treatment of asymptomatic patients with unclear cardiovascular disease risk. aview CAC is a new AI assistant for coronary artery segmentation and labeling. It detects and analyzes calcium in the coronary arteries using CT scans of the chest by measuring the Agatston score. Patients with a high Agatston score are at increased risk of a heart attack.
Taking your age and gender into account, aview CAC can be used to calculate how high your risk of a heart attack is. If coronary artery calcium is detected, coronary disease is more likely, regardless of whether you feel symptoms or not. It also means that possible follow-up examinations (CT angiography of the coronary arteries or MRI of the heart) allow conclusions to be drawn about the development of the disease and the effectiveness of therapy.
Non-enhanced chest CT studies of any CT scanner; 120 Kvp; axial reformations; slice thickness and interval 2.5-3 mm each; soft tissue reconstruction kernel
Non-enhanced chest CT of a 76-year-old patient; 120 Kvp; axial reformation; soft tissue reconstruction kernel. aview CAC segments all cardiac structures and detects coronary artery calcium in all coronary arteries, calculates an Agatston score of 2448, a visually estimated score of 1902, the total area of calcifications of 676.6 mm² and the equivalent amount of calcium of 545.9 mg. The score according to the CAC-DRS scoring system is 2448/N4 and represents a high risk of a heart attack.
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