The objective of this dissertation was to establish the value of QCT to further enhance the clinical applicability and accuracy of coronary CTA. The automatic characterization of coronary... Show more The objective of this dissertation was to establish the value of QCT to further enhance the clinical applicability and accuracy of coronary CTA. The automatic characterization of coronary atherosclerosis with QCT is feasible and correlates well with IVUS VH. Secondly, novel CTA risk score was created incorporating detailed information on the location, severity and composition of atherosclerosis as assessed with QCT. This CTA risk score allows accurate risk stratification of patients with suspected CAD. A drawback of coronary CTA is the fact that the hemodynamic significance of a lesion cannot be evaluated. In this thesis it was demonstrated that QCT provided better correlation with the presence of myocardial ischemia on SPECT MPI as compared to current visual assessment of coronary CTA. With regards to the specific setting of high risk diabetic patients without chest pain syndrome several conclusion can be derived from this thesis. First, if treated with optimal medical therapy, very few patients present with progression of myocardial ischemia. Second, the prognosis of these patients is good; the overall long-term event-rate is limited. Especially diabetic patients without CAD on coronary CTA have an excellent prognosis. Show less
Cardiovascular risk assessment in patients with diabetes mellitus (DM) remains challenging. Risk scores to predict cardiovascular risk are widely used, but are developed in the general population... Show moreCardiovascular risk assessment in patients with diabetes mellitus (DM) remains challenging. Risk scores to predict cardiovascular risk are widely used, but are developed in the general population and tend to underestimate the cardiovascular risk of DM patients. Risk scores developed in diabetic populations to estimate cardiovascular risk have demonstrated good calibration and discriminations indices. However, external validation is still needed. A recent meta-analysis showed that the predictive ability of these scores developed in diabetic populations is not superior to those scores developed in general population. Accordingly, the additional use of other biomarkers or imaging tools seems a good alternative to better risk stratify diabetic patients. This thesis evaluates the application and performance of non-invasive cardiac imaging tests for cardiovascular risk assessment and management of DM patients. Identification of new markers of CAD derived from non-invasive cardiac imaging might result in a broader applicability of cardiovascular risk assessment. Non-invasive cardiac imaging tests might evaluate target organ damage as well as the presence, severity and extent of subclinical atherosclerosis preceding overt clinical CAD. Thus, high-risk patients for CAD can be identified and further decision making of each DM patient can be tailored in order to improve the clinical outcomes at long-term follow-up Show less
