View clinical trials related to Plaque, Atherosclerotic.
Filter by:The present clinical study aims to identify transcriptomic patterns derived from whole blood samples related to coronary atherotic burden. Additionally, as a secondary analysis, the research team will explore the algorithm's ability to detect the presence of aortic disease and pro-inflammatory cardiometabolic alterations, such as hepatic steatosis and surrogate markers of coronary inflammation.
The goal of this observational study is to develop an automatic whole-process AI model to detect, quantify, and characterize plaques using coronary CT angiography in coronary artery disease patients. The main questions it aims to answer are: 1. Whether the AI model enables to detect and quantify coronary plaques compared with intravascular ultrasound or expert readers; 2. Whether the AI model enables to identify vulnerable plaques using intravascular ultrasound or optical coherence tomography as the reference standard. 3. Whether the AI model enables to predict future adverse cardiac events in a large cohort of 10,000 patients with non-obstructive CAD.
This proposed follow-up study aims to recruit participants from the original BioImage cohort for a one-time follow-up examination. The repeat ultrasound scan of the carotid arteries will provide information on the natural history of carotid atherosclerosis and factors that contribute to plaque progression. Renewal of the HIPAA authorization will also be sought for 5 years to continue to monitor claims and other information for major cardiovascular events, other outcomes and healthcare utilization.