The Clinical Application of the Deep Learning Technique for Predicting Trigger Origins in Patients With Paroxysmal Atrial Fibrillation With Catheter Ablation.
Journal:
Circulation. Arrhythmia and electrophysiology
Published Date:
Nov 1, 2020
Abstract
BACKGROUND: Non-pulmonary vein (NPV) trigger has been reported as an important predictor of recurrence post-atrial fibrillation ablation. Elimination of NPV triggers can reduce the recurrence of postablation atrial fibrillation. Deep learning was applied to preablation pulmonary vein computed tomography geometric slices to create a prediction model for NPV triggers in patients with paroxysmal atrial fibrillation.
Authors
Keywords
Action Potentials
Adult
Aged
Atrial Fibrillation
Catheter Ablation
Computed Tomography Angiography
Deep Learning
Female
Heart Rate
Humans
Male
Middle Aged
Phlebography
Predictive Value of Tests
Pulmonary Veins
Radiographic Image Interpretation, Computer-Assisted
Recurrence
Reproducibility of Results
Retrospective Studies
Risk Assessment
Risk Factors
Time Factors
Treatment Outcome