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European Journal of Echocardiography 2006 7(3):217-225; doi:10.1016/j.euje.2005.07.012
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Copyright © 2005, The European Society of Cardiology

Quantitative diagnosis of stress-induced myocardial ischemia using analysis of contrast echocardiographic parametric perfusion images*

Eran Toledo, Lawrence D. Jacobs, Joseph A. Lodato, Jeanne M. DeCara, Patrick Coon, Victor Mor-Avi* and Roberto M. Lang

Noninvasive Cardiac Imaging Laboratory, Department of Medicine, Section of Cardiology, University of Chicago, MC5084, 5841 S. Maryland Avenue, Chicago, IL 60637, USA

Received 9 May 2005; received in revised form 12 July 2005; accepted after revision 28 July 2005.

rlang{at}medicine.bsd.uchicago.edu

* Corresponding author. Tel.: +1 773 702 1842; fax: +1 773 702 1034. vmoravi{at}medicine.bsd.uchicago.edu


   Abstract

Aims Parametric imaging of myocardial perfusion provides useful visual information for the diagnosis of coronary artery disease (CAD). We developed a technique for automated detection of perfusion defects based on quantitative analysis of parametric perfusion images and validated it against coronary angiography.

Methods and results Contrast-enhanced, apical 2-, 3- and 4-chamber images were obtained at rest and with dipyridamole in 34 patients with suspected CAD. Images were analyzed to generate parametric perfusion images of the standard contrast-replenishment model parameters A, β and A·β. Each parametric image was divided into six segments, and mean parameter value (MPV) was calculated for each segment. Segmental MPV ratio between stress and rest was defined as a flow reserve index (FRI). Receiver operating characteristics (ROC) analysis was used in a Study group (N=17) to optimize FRI threshold and the minimal number of abnormal segments per vascular territory (LAD and non-LAD), required for automated detection of stress-induced perfusion defects. The optimized detection algorithm was then tested prospectively in the remaining 17 patients (Test group). LAD and non-LAD stenosis >70% was found in 19 and 17 patients, respectively. In the Study group, FRI threshold was: LAD=0.95 and non-LAD=0.68, minimal number of abnormal segments was four and two, correspondingly. Sensitivity, specificity and accuracy in the Test group were: 75%, 67% and 71% in the LAD, and 75%, 75% and 75% in the non-LAD territories.

Conclusion Automated quantitative analysis of contrast echocardiographic parametric perfusion images is feasible and may aid in the objective detection of CAD.

Keywords: Ultrasound imaging; Contrast media; Myocardial blood flow


* This work has been supported by research grant from Bristol–Myers Squibb and a Grant-in-Aid from the American Heart Association (VMA).


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