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Updated: Nov 25, 2025

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
Published on: July 20, 2022
Right Atrial Complexity Evolves With Stepwise Left-Sided Persistent Atrial Fibrillation Substrate Ablation and
Nicolas Johner1, Mehdi Namdar1, Dipen C Shah1
1Cardiology Division, University Hospital of Geneva, Geneva, Switzerland.
Electrogram complexity gradients in the right atrium and coronary sinus can predict atrial fibrillation ablation outcomes. These findings help guide substrate modification strategies for persistent AF.
Area of Science:
- Electrophysiology
- Cardiac Arrhythmias
- Medical Device Technology
Background:
- Identifying patients with persistent atrial fibrillation (AF) who benefit from limited versus extensive ablation is challenging.
- Substrate modification aims to improve ablation success rates in persistent AF.
- Dynamic electrogram characteristics may offer insights into ablation outcomes.
Purpose of the Study:
- To investigate the relationship between modified stepwise AF substrate ablation outcomes and dynamic electrogram characteristics.
- To assess the predictive value of electrogram complexity gradients for AF ablation success.
- To guide ablation strategies by monitoring electrogram changes during the procedure.
Main Methods:
- Seventy patients with persistent AF undergoing ablation were studied.
- Electrograms from the right atrium (RA) and coronary sinus (CS) were recorded during AF.
- Dominant frequency (DF) and sample entropy (SampEn) were measured at baseline and post-ablation steps.
Main Results:
- Lower RA SampEn and CS DF at baseline predicted successful ablation (sABL).
- A positive RA-to-CS SampEn gradient predicted ablation failure.
- A negative RA-to-CS SampEn gradient at baseline correlated with freedom from AF at 24 months.
Conclusions:
- Electrogram complexity gradients (RA vs. CS) are associated with AF ablation outcomes.
- These gradients can monitor ablation effectiveness and inform decisions on additional substrate modification.
- Utilizing electrogram gradients may optimize treatment for persistent AF patients.
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