|ESCR 2016 / P-0040||
|Quantification of myocardial perfusion using dynamic CT perfusion analysis on third generation dual source CT in an ex-vivo porcine heart model|
Coronary artery disease (CAD) can be ruled out with high sensitivity and negative predictive value by using Computed tomography angiography (CTA). However, in case of an intermediate stenosis, it is often difficult to determine hemodynamic significance, reflected in the lower specificity and positive predictive value of CTA.(1) Therefore, functional testing of hemodynamic significance is often required (2, 3). Myocardial perfusion reduction is typically the first sign in the ischaemic cascade. Quantification of myocardial perfusion defects could lead to faster and more accurate diagnosis of CAD.
Quantitative CT myocardial perfusion imaging has shown to increase diagnostic performance in several recent studies (7-13). However, there is as of yet limited information about the relationship between stenosis grade and CT myocardial perfusion parameters. The use of a controllable porcine heart model allows for determining the performance of CT myocardial perfusion imaging at investigator-controlled stenosis grades. The purpose of this study was to evaluate the relationship between fractional flow reserve (FFR)-controlled coronary artery stenosis grades and myocardial perfusion parameters derived from dynamic CT myocardial perfusion imaging in an ex-vivo porcine heart model, in order to develop a CT imaging biomarker for myocardial perfusion.
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