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Updated: Mar 14, 2026

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
Published on: April 11, 2025
Combined Analysis of Cardiac Repolarization Entropy and Magnetic Resonance Imaging Enhances Risk Stratification of
Tanmay A Gokhale1, Swati Dey2, Worawan B Limpitikul3
1Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA; Global Engineering Network for Intelligent Unified Healthcare Solutions, McGowan Institute for Regenerative Medicine and Carnegie Mellon University, Pittsburgh, Pennsylvania, USA; Division of Cardiology, Department of Internal Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA; Section of Cardiac Electrophysiology, Division of Cardiology, Department of Internal Medicine, Veterans Affairs Pittsburgh Health System, Pittsburgh, Pennsylvania, USA; Veterans Health Foundation, Pittsburgh, Pennsylvania, USA.
Background:
Accurate selection of patients who will benefit from a primary-prevention implantable cardioverter-defibrillator (ICD) remains a challenge. Cardiac magnetic resonance imaging (CMR) of myocardial tissue heterogeneity and EntropyXQT, a nonlinear electrocardiographic (ECG) measure of cardiac repolarization dynamics, predict ventricular tachyarrhythmias (VTs) and sudden cardiac arrest.
Objectives:
Because CMR and EntropyXQT are fundamentally distinct structural and electrical measures, we hypothesized that they add major independent prognostic value to conventional clinical predictors of sudden cardiac arrest.
Methods:
In 230 consecutive patients with a left ventricular ejection fraction ≤35% in sinus rhythm, baseline exposures before primary prevention ICD implantation included demographics, history, medications, laboratory results, conventional ECG indices of heart rate and QT variability, CMR myocardial tissue characterization, and EntropyXQT. The primary endpoint was ICD shock for VT, and secondary endpoints included all-cause events, including mortality.
Results:
Over 6.1 ± 3.3 years of follow-up, 62 patients (27%) received appropriate ICD shocks. In multivariable analyses, EntropyXQT and CMR gray zone mass yielded adjusted hazard ratios (per SD change) of 1.8 (95% CI: 1.4-2.3) and 1.5 (95% CI: 1.2-1.8), respectively, and improved Harrell's C-statistic from 0.59 to 0.73 in a model composed of conventional clinical predictors, left ventricular end-systolic volume (LVESV) and prescribed diuretics. EntropyXQT was the strongest predictor in years 1-3, whereas CMR and LVESV were stronger in years >3. Moreover, EntropyXQT independently predicted the secondary endpoints.
Conclusions:
EntropyXQT and CMR gray zone mass complement each other and conventional risk factors, improving risk stratification for appropriate ICD shock and mortality, and together may enhance the selection of primary prevention ICD recipients. (Prospective Observational Study of the ICD in Sudden Cardiac Death Prevention (PROSe-ICD; NCT00733590).
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