In recent years еpicardial adipose tissue has been reported to be an independent predictor of coronary risk, along with the already well established coronary calcium score. In our study we look for a corellation between these two markers in patients with long-term diabetes mellitus type 1 and healthy controls. Epicardial fat volume is quantified by semiautomatically and manually segmenting images acquired with computed tomography and magnetic resonance tomography. The two types of images demonstrate excellent correlation between them. A mild to moderate correlation between epicardial fat volume and coronary calcium score is found, regardless of which type of image the fat is calculated from.
Cardiac magnetic resonance imaging is a relatively novel method, which has recently vastly expanded its applications and usefulness. It is a non-ionizing method, with very few contraindications, allowing for characterization of the full spectrum of cardiac diseases. This is done by means of performing a multitude of specially-tailored pulse sequences, each of which images different aspects of morphology and pathology. When putting together all the data, acquired from the separate sequences, a skilled radiologist can provide a comprehensive and insightful interpretation to great clinical benefit. There are morphological, functional, quantitative, and contrastbased imaging sequences, but not all of them are performed on every patient -due to time constraints every imaging protocol is individually calibrated to suit the corresponding clinical query.
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