(Circulation. 2005;112:2821-2825.)
© 2005 American Heart Association, Inc.
Imaging |
From Johns Hopkins Hospital, Departments of Medicine/Cardiology (S.N., D.A.B., A.C.L., M.M.Z., S.P.W., T.L.D., G.R.M., A.R., H.C., G.F.T., R.G.W., R.D.B., J.A.C.L., H.R.H.), Radiology (D.A.B, J.A.C.L., H.R.H.), Biomedical Engineering (A.C.L., H.R.H.), and Surgery (A.C.L.), Baltimore, Md.
Correspondence to Saman Nazarian, Division of Cardiology, Johns Hopkins Hospital, Carnegie 568, 600 N Wolfe St, Baltimore, MD 21287. E-mail snazari1{at}jhmi.edu
Received March 22, 2005; revision received August 2, 2005; accepted August 8, 2005.
Background Patients with left ventricular dysfunction have an elevated risk of sudden cardiac death. However, the substrate for ventricular arrhythmia in patients with nonischemic cardiomyopathy remains poorly understood. We hypothesized that the distribution of scar identified by MRI is predictive of inducible ventricular tachycardia.
Methods and Results Short-axis cine steady-state free-precession and postcontrast inversion-recovery gradient-echo MRI sequences were obtained before electrophysiological study in 26 patients with nonischemic cardiomyopathy. Left ventricular ejection fraction was measured from end-diastolic and end-systolic cine images. The transmural extent of scar as a percentage of wall thickness (percent scar transmurality) in each of 12 radial sectors per slice was calculated in all myocardial slices. The percentages of sectors with 1% to 25%, 26% to 50%, 51% to 75%, and 76% to 100% scar transmurality were determined for each patient. Predominance of scar distribution involving 26% to 75% of wall thickness was significantly predictive of inducible ventricular tachycardia and remained independently predictive in the multivariable model after adjustment for left ventricular ejection fraction (odds ratio, 9.125; P=0.020).
Conclusions MR assessment of scar distribution can identify the substrate for inducible ventricular tachycardia and may identify high-risk patients with nonischemic cardiomyopathy currently missed by ejection fraction criteria.
Key Words: electrophysiology magnetic resonance imaging tachyarrhythmias
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