Introduction:
Ventricular arrhythmias have been a major threat to human health in developed countries. Each year, more than 300,000 sudden cardiac death cases have been reported in the U.S. alone. The aim of this study is to evaluate a novel Cardiac Electrical Sparse Imaging technique (CESI) for noninvasive mapping and localizing the origin of ventricular arrhythmias in patients undergoing cardiac catheter ablation.
Method:
Pre-surgical ECG mapping and CT scans were performed in patients (n=13) with symptomatic Premature Ventricular Contraction (PVC, >10,000 beats /24h). Data analysis was performed upon the ectopic beats (n=130) to image the foci and propagation pattern. The imaged activation patterns were compared with the Local Activation Time (LAT) determined from CARTO 3 system and the CESI imaged initiation sites were compared with the last ablation sites.
Results:
Good correlation was obtained between the CESI imaged activation and the measured LAT with an averaged Correlation Coefficient of 0.79±0.04 and Relative Error of 0.23±0.05 over 130 beats analyzed. The Relative Temporal Shrinkage was as low as 0.01±0.01, indicating 99% of the temporal resolution was preserved. PVCs were found to originate from RV, RVOT and LV. The focal mechanism was well captured with the foci localized 8±0.9 mm away from the last successful ablation sites. In each individual patient, the activation sequence could be imaged with only one beat and the propagation pattern remained stable among all recorded beats.
Conclusion:
The present results indicate that CESI is feasible to image the activation pattern and localize the ectopic foci in both RV and LV. The imaged activation patterns are in good agreement with the intra-cardiac measured ones over the endocardial surface, and the localized initiators showed concordance with the real ablation outcome. The present promising results suggest the CESI technique can potentially assist clinical management of ventricular arrhythmias.
B-PO02-025 NON-INVASIVE ELECTRICAL IMAGING OF REPOLARIZATION ABNORMALITIES TO PREDICT ARRHYTHMIC RISK
