Prediction of cardiac events with non‐contrast magnetic resonance feature tracking in patients with ischaemic cardiomyopathy

Author:

Overhoff Daniel12ORCID,Ansari Uzair34,Hohneck Anna34,Tülümen Erol3,Rudic Boris3,Kuschyk Jürgen3,Lossnitzer Dirk34,Baumann Stefan34,Froelich Matthias F.1,Waldeck Stephan2,Akin Ibrahim34,Borggrefe Martin34,Schoenberg Stefan O.1,Papavassiliu Theano34

Affiliation:

1. Department of Radiology and Nuclear Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim Heidelberg University Heidelberg Germany

2. Department of Radiology and Neuroradiology German Federal Armed Forces Central Hospital Koblenz Germany

3. 1st Department of Medicine, University Medical Centre Mannheim, Medical Faculty Mannheim Heidelberg University Theodor‐Kutzer‐Ufer 1‐3 Heidelberg D‐68167 Germany

4. DZHK (German Centre for Cardiovascular Research) partner site Mannheim Mannheim Germany

Publisher

Wiley

Subject

Cardiology and Cardiovascular Medicine

Reference41 articles.

1. 2015 ESC guidelines for the management of patients with ventricular arrhythmias and the prevention of sudden cardiac death: theTask Force for the Management of Patients with Ventricular Arrhythmias and the Prevention of Sudden Cardiac Death of the European Society of Cardiology (ESC) Endorsed by: Association for European Paediatric and Congenital Cardiology (AEPC);Priori SG;Europace,2015

2. Prediction of Ventricular Arrhythmias With Left Ventricular Mechanical Dispersion

3. Assessment of myocardial deformation with cardiac magnetic resonance strain imaging improves risk stratification in patients with dilated cardiomyopathy

4. Cardiac Magnetic Resonance Myocardial Feature Tracking for Optimized Prediction of Cardiovascular Events Following Myocardial Infarction

5. Feature-Tracking Global Longitudinal Strain Predicts Death in a Multicenter Population of Patients With Ischemic and Nonischemic Dilated Cardiomyopathy Incremental to Ejection Fraction and Late Gadolinium Enhancement

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