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J Am Coll Cardiol, 2007; 50:1343-1353, doi:10.1016/j.jacc.2007.06.030 (Published online 14 September 2007).
© 2007 by the American College of Cardiology Foundation
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Diagnostic Performance of Stress Cardiac Magnetic Resonance Imaging in the Detection of Coronary Artery Disease

A Meta-Analysis

Kiran R. Nandalur, MD*,*, Ben A. Dwamena, MD*,{dagger}, Asim F. Choudhri, MD{ddagger}, Mohan R. Nandalur, MD§ and Ruth C. Carlos, MD, MS*

* Department of Radiology, University of Michigan Health System, Ann Arbor, Michigan
{dagger} Department of Nuclear Medicine, Veterans Affairs, Ann Arbor Health Care System, Ann Arbor, Michigan
{ddagger} Department of Radiology, University of Virginia Health System, Charlottesville, Virginia
§ Department of Cardiovascular Medicine, Georgetown University/Washington Hospital Center, Washington, DC.


Figure 1
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Figure 1 Flow Diagram of Review Process

Process of identification and selection of studies for inclusion in meta-analysis.

 

Figure 2
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Figure 2 Forest Plot of Sensitivity and Specificity

(A, B) Forest plot of patient-level sensitivity and specificity of stress perfusion imaging compared with coronary angiography. (C, D) Forest plot of patient level sensitivity and specificity of stress-induced wall motion abnormalities imaging compared with coronary angiography. Solid squares = point estimate of each study (area indicates relative contribution of the study to meta-analysis); horizontal lines = 95% confidence interval (CI).

 

Figure 3
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Figure 3 Plot of Conditional Probabilities for PI and IWMA

Post-test probabilities are shown as a function of pretest probability for patients with positive results on perfusion imaging (PI), positive results on wall motion abnormalities imaging (IWMA), negative results on PI, and negative results on IWMA.

 




 
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