Aortic Valve Calcification (AVC): Identifying Aortic Stenosis Risk
The AI-CVD™ initiative includes advanced AVC scoring, emphasizing the critical role of early detection in managing cardiovascular health. By identifying AVC in coronary artery calcification (CAC) scans, AI-CVD™ provides valuable insights into the risks of aortic stenosis and associated cardiovascular outcomes, fostering proactive healthcare approaches.
Correlation with Aortic Stenosis and Cardiovascular Outcomes
AVC is closely linked to aortic stenosis, a progressive condition that significantly impacts heart function and increases the risk of cardiovascular diseases. Studies have shown that patients with AVC have a higher prevalence of adverse cardiovascular outcomes, including heart failure and arrhythmias. The presence of AVC can exacerbate systemic inflammation and oxidative stress, contributing to the development and progression of these conditions.
Aortic stenosis is a condition where the aortic valve narrows, restricting blood flow from the heart to the rest of the body. This can lead to symptoms such as chest pain, shortness of breath, and fainting. Early identification and management of AVC are crucial in preventing severe complications and improving patient outcomes.
AVC Scoring in AI-CVD™
Aortic Valve Calcification (AVC) is a condition characterized by the accumulation of calcium deposits on the aortic valve, leading to its stiffening and impaired function.
Aortic Valve Calcification (AVC), visible in CAC scans, predicts aortic stenosis and its associated cardiovascular outcomes. Early identification of AVC facilitates closer monitoring and timely surgical or medical interventions, reducing morbidity and mortality from valve-related complications.
AI-CVD™ utilizes advanced imaging algorithms to quantify AVC in CAC scans, providing a detailed assessment of valve health. This quantification is achieved by measuring the extent of calcification, which is indicative of the severity of aortic stenosis.
