Our hypothesis is that quantitative 3D analysis of cardiac CT images obtained during
vasodilator stress can accurately identify patients presenting at the emergency department
with acute chest pain due to underlying hemodynamically significant coronary stenosis, aid in
the identification of individuals most likely to benefit from revascularization, and thus
improve the ability to predict patient outcomes.
Our goals are:
1. to test the above hypothesis by comparing stress MDCT perfusion data with invasive
fractional flow reserve (FFR) data in patients with significant stenosis who undergo
ICA;
2. to determine the added value of MDCT perfusion as an adjunct to CTCA for predicting
patient outcomes.