Cargando…
Personalized ablation vs. conventional ablation strategies to terminate atrial fibrillation and prevent recurrence
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...
Autores principales: | Azzolin, Luca, Eichenlaub, Martin, Nagel, Claudia, Nairn, Deborah, Sanchez, Jorge, Unger, Laura, Dössel, Olaf, Jadidi, Amir, Loewe, Axel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9907752/ https://www.ncbi.nlm.nih.gov/pubmed/35943361 http://dx.doi.org/10.1093/europace/euac116 |
Ejemplares similares
-
Commentary: Virtual In-Silico Modeling Guided Catheter Ablation Predicts Effective Linear Ablation Lesion Set for Longstanding Persistent Atrial Fibrillation: Multicenter Prospective Randomized Study
por: Loewe, Axel, et al.
Publicado: (2017) -
Comparison of Unipolar and Bipolar Voltage Mapping for Localization of Left Atrial Arrhythmogenic Substrate in Patients With Atrial Fibrillation
por: Nairn, Deborah, et al.
Publicado: (2020) -
A Computational Framework to Benchmark Basket Catheter Guided Ablation in Atrial Fibrillation
por: Alessandrini, Martino, et al.
Publicado: (2018) -
Differences in atrial substrate localization using late gadolinium enhancement-magnetic resonance imaging, electrogram voltage, and conduction velocity: a cohort study using a consistent anatomical reference frame in patients with persistent atrial fibrillation
por: Nairn, Deborah, et al.
Publicado: (2023) -
Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG
por: Luongo, Giorgio, et al.
Publicado: (2021)