Comparative spatial resolution of 12-lead electrocardiography and an automated algorithm.

Area of Science:

• Electrophysiology
• Cardiac Mapping
• Medical Device Technology

Background:

• The precise spatial resolution of cardiac pacemapping techniques, including 12-lead electrocardiography (ECG) and specialized software like PaSo, remains largely undetermined.
• Accurate localization of arrhythmia origins is critical for successful catheter ablation procedures.

Purpose of the Study:

• To quantitatively assess and compare the spatial resolution of traditional ECG pacemapping with that of pacemapping utilizing PaSo coefficients.
• To establish a benchmark for the diagnostic accuracy of these pacemapping modalities.

Main Methods:

• Seventeen patients undergoing ablation for supraventricular tachycardias or atrioventricular node reentrant tachycardia were enrolled.
• Post-ablation, detailed cardiac geometry was reconstructed using Carto 3, with pacing performed from various points to simulate arrhythmia origins.
• The spatial resolution was determined by correlating the distance from the simulated origin with the outputs of traditional ECG pacemapping and PaSo coefficients, analyzed using three distinct computational methods.

Main Results:

• A decrease in PaSo coefficient correlated with increased distances (Cartesian, geodesic) and convex hull volume from the pacing origin, indicating higher resolution.
• Traditional ECG pacemapping also showed a correlation between decreased lead match and increased distances/volume, but to a lesser extent than PaSo.
• Both methods demonstrated a significant inverse linear correlation with distance from the origin, with PaSo exhibiting superior performance.

Conclusions:

• Pacemapping utilizing PaSo software demonstrates a significantly better spatial resolution than traditional 12-lead ECG pacemapping.
• The findings suggest that PaSo software can provide more precise localization of cardiac electrical activation origins, potentially improving ablation outcomes.