Personalized ablation vs. conventional ablation strategies to terminate atrial fibrillation and prevent recurrence.

ABSTRACT:

Aims

The long-term success rate of ablation therapy is still sub-optimal in patients with persistent atrial fibrillation (AF), mostly due to arrhythmia recurrence originating from arrhythmogenic sites outside the pulmonary veins. Computational modelling provides a framework to integrate and augment clinical data, potentially enabling the patient-specific identification of AF mechanisms and of the optimal ablation sites. We developed a technology to tailor ablations in anatomical and functional digital atrial twins of patients with persistent AF aiming to identify the most successful ablation strategy.

Methods and results

Twenty-nine patient-specific computational models integrating clinical information from tomographic imaging and electro-anatomical activation time and volta

SUBMITTER: Azzolin L 

PROVIDER: S-EPMC9907752 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature