Coronary Artery Disease Clinical Trial
Official title:
Prediction of Atherosclerotic Plaque Burden Progression With Sequential Coronary CT-angiography and Biomarkers
Currently, cardiac computed tomography angiography (CCTA) is a well-implemented non-invasive diagnostic imaging modality in patients with stable chest pain. Besides conventional CT-reading, CCTA is also capable to identify several morphologic and geometric characteristics of atherosclerotic plaques. Recently, the investigators showed that the use of semi-automated plaque quantification algorithm identified parameters predictive for acute coronary syndrome on top of clinical risk profiling and conventional CT-reading. In addition, several atherotrombosis biomarkers, like high-sensitivity cardiac troponins, are described as related to coronary artery disease and cardiovascular events. Prospective data with sequential analysis of atherosclerotic plaques combined with different atherothrombosis biomarkers are currently lacking, but will provide important clues about the pathophysiology of plaque progression and atherothrombosis.
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