Key result
Automatic localization of stable HDF areas yields effective ablation outcomes in ~72% of PeAF patients.
Why the study?
Atrial electrical activity in persistent AF is complex, making the identification of optimal ablation targets beyond pulmonary veins a significant challenge.
Does automatic localization of stable highest dominant frequency areas based on spatial aggregation identify effective ablation targets in patients with persistent atrial fibrillation?
Observational (n=43)
Does automatic localization of stable highest dominant frequency areas based on spatial aggregation identify effective ablation targets in patients with persistent atrial fibrillation?
Automatic localization of stable highest dominant frequency areas using spatial aggregation provides a reliable method for identifying personalized ablation targets beyond pulmonary veins in patients with persistent atrial fibrillation.
Background: Atrial electrical activity in patients with persistent atrial fibrillation (PeAF) is extremely complex, and identifying optimal ablation targets during ablation procedures remains a significant challenge. This manuscript aims to identify spatiotemporally stable highest dominant frequency (HDF) in the left atrium to provide a reliable basis for Electrophysiologists to locate ablation targets beyond pulmonary veins. Methods: Filtering and spectral estimation were performed on the left atrial intracardiac electrogram (LA-EGM) of PeAF patients to recognize the dominant frequency (DF). Spatiotemporally stable DF features within the left atrium were extracted using spatial aggregation and others to construct a 3D DF distribution model. HDF areas were automatically identified based on personalized thresholds derived from the patient’s DF distribution. Results: Data analysis of 43 PeAF patients demonstrated that spatial aggregation with 2 mm voxel size accurately constructs spatiotemporally stable DF distribution models. The proposed DF model enables the automatic identification of stable HDF areas in PeAF patients. In retrospective clinical cases, 72.1% of patients underwent ablation at these identified sites with effective therapeutic outcomes. Conclusion: Recurring HDF areas during PeAF serve as potential ablation targets. The results of this study provide a reliable basis for determining personalized ablation targets for PeAF patients.
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Huang et al. (2026) conducted an observational in persistent atrial fibrillation (PeAF) (n=43). Automatic localization of stable highest dominant frequency (HDF) areas using spatial aggregation was evaluated on Effective therapeutic outcomes after ablation at identified HDF sites. Automatic identification of stable highest dominant frequency areas using spatial aggregation identified ablation targets that yielded effective therapeutic outcomes in 72.1% of patients with PeAF.
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