Optimal pacing sites in cardiac resynchronization by left ventricular activation front analysis

Area of Science:

• Computational modeling
• Cardiac electrophysiology
• Heart failure treatment

Background:

• Cardiac resynchronization therapy (CRT) improves heart failure outcomes but lacks efficacy in ~30% of patients.
• Suboptimal left ventricular (LV) activation due to electrical heterogeneity contributes to CRT non-response.
• Predicting optimal pacing sites remains a clinical challenge.

Purpose of the Study:

• To evaluate a novel computational method for analyzing electrical wavefront propagation.
• To assess the performance of the maximum activation front (MAF) method in predicting optimal CRT pacing sites.
• To compare simulation results with clinical data for validation.

Main Methods:

• Developed computational heart models based on patient-specific cardiac MR images, including myocardial scar.
• Simulated electrical propagation and calculated MAF in the LV under various pacing scenarios (RV apex, 12 LV sites, multi-site).
• Compared MAF-derived optimal pacing sites with clinical benchmarks and latest activated regions.

Main Results:

• For single LV pacing, the site with the largest MAF accurately identified regions of latest activation during right ventricular (RV) pacing.
• The MAF method successfully predicted optimal electrode placements in complex models with scar tissue.
• Demonstrated utility in multi-site LV pacing scenarios.

Conclusions:

• The MAF analysis is a promising computational tool for understanding electrical propagation in the heart.
• This method shows potential for improving the prediction of optimal lead placement in CRT.
• Computational simulations can aid in personalized CRT planning and enhance patient outcomes.