Infarct Tissue Heterogeneity by Magnetic Resonance Imaging Identifies Enhanced Cardiac Arrhythmia Susceptibility in Patients With Left Ventricular Dysfunction | Zendy

André Schmidt | Zendy; Clerio F. Azevedo | Zendy; Alan Cheng | Zendy; Sandeep Gupta | Zendy; David A. Bluemke | Zendy; Thomas Foo | Zendy; Gary Gerstenblith | Zendy; Robert G. Weiss | Zendy; Eduardo Marbán | Zendy; Gordon F. Tomaselli | Zendy; João A.C. Lima | Zendy; Kathérine C. Wu | Zendy

Open Access

Infarct Tissue Heterogeneity by Magnetic Resonance Imaging Identifies Enhanced Cardiac Arrhythmia Susceptibility in Patients With Left Ventricular Dysfunction

Author(s) -

André Schmidt,

Clerio F. Azevedo,

Alan Cheng,

Sandeep Gupta,

David A. Bluemke,

Thomas Foo,

Gary Gerstenblith,

Robert G. Weiss,

Eduardo Marbán,

Gordon F. Tomaselli,

João A.C. Lima,

Kathérine C. Wu

Publication year - 2007

Publication title -

circulation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 7.795

H-Index - 607

eISSN - 1524-4539

pISSN - 0009-7322

DOI - 10.1161/circulationaha.106.653568

Subject(s) - medicine , cardiology , magnetic resonance imaging , cardiac magnetic resonance , cardiac magnetic resonance imaging , cardiac dysfunction , cardiac arrhythmia , radiology , atrial fibrillation , heart failure

The extent of the peri-infarct zone by magnetic resonance imaging (MRI) has been related to all-cause mortality in patients with coronary artery disease. This relationship may result from arrhythmogenesis in the infarct border. However, the relationship between tissue heterogeneity in the infarct periphery and arrhythmic substrate has not been investigated. In the present study, we quantify myocardial infarct heterogeneity by contrast-enhanced MRI and relate it to an electrophysiological marker of arrhythmic substrate in patients with left ventricular (LV) systolic dysfunction undergoing prophylactic implantable cardioverter defibrillator placement.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research