Abstract
Methods Forty-seven patients had 1.5T steady state free precession, regadenoson stress perfusion CMR and either a ≤ 30% coronary narrowing by CT angiography (CTA) or a ≥70% stenosis by invasive coronary angiography (ICA). CMR perfusion pixel maps were generated by a modelconstrained deconvolution with and without the myocardial segmentation. The two independent observers were blinded to clinical information.
Highlights
In this study we evaluate the diagnostic accuracy of myocardial perfusion pixel maps for detecting coronary artery disease (CAD)
We compare the performance of perfusion pixel maps with and without myocardial segmentation
CMR perfusion pixel maps were generated by a modelconstrained deconvolution with and without the myocardial segmentation
Summary
In this study we evaluate the diagnostic accuracy of myocardial perfusion pixel maps for detecting coronary artery disease (CAD). Feasibility and preliminary diagnostic results of pixel-wise quantification of regadenoson first pass cardiac magnetic resonance perfusion imaging Allison D Ta1,2*, Li-Yueh Hsu1, Christopher A Miller1, Anders M Greve1, Hannah Conn1, Susanne Winkler1, Peter Kellman1, Kim-Lien Nguyen1, Sujata M Shanbhag1, Marcus Y Chen1, W Patricia Bandettini1, Andrew E Arai1 From 17th Annual SCMR Scientific Sessions New Orleans, LA, USA.
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