Predicting arrhythmia recurrence post-ablation in atrial fibrillation using explainable machine learning: Atrial meshes

This repository contains computational meshes of human left atria segmented from late gadolinium enhanced cardiac magnetic resonance imaging (LGE-MRI) for patients receiving a catheter ablation for atrial fibrillation. There are two models per patient (pre-ablation with patterns of fibrotic remodeling, post-ablation with scar created by the procedure) for 82 individuals. These meshes support the replication of our findings while protecting confidential patient information., This study retrospectively included patients from University of Washington (UW) Medical Center with documented persistent atrial fibrillation (AFib) or paroxysmal AFib who had already received both pre- and post-procedural LGE-MRI scans and underwent either cryoballoon or radiofrequency (RF) ablation. Cardiac late gadolinium enhanced magnetic resonance images (LGE-MRI) were obtained using previously described protocols for all participants within 90 days prior to their ablation procedure and again 3-6 months post-ablation to quantify the extent of LA fibrosis and scar, respectively. Exclusion criteria for AFib patients included those who had a prior catheter ablation, patients with cardiac implantable electronic devices, severe claustrophobia, renal dysfunction, and contraindications to MRI or gadolinium-based contrast. Scans were performed on the Philips Ingenia system, 15–25 min after contrast injection, using a three-dimensional inversion-recovery, respiration-navigated, ECG-gated, g..., # Predicting arrhythmia recurrence post-ablation in atrial fibrillation using explainable machine learning: Atrial meshes

Dataset DOI: [10.5061/dryad.kkwh70sg0](10.5061/dryad.kkwh70sg0)

These meshes are linked to an accepted paper which will be published around mid-August 2025. Once the paper is published and the embargo period has ended, a link will be added to this repository. If you use these models, please cite this repository our paper.

## Description of the data and file structure

This repository contains computational meshes of human left atria segmented from late gadolinium enhanced cardiac magnetic resonance imaging (LGE-MRI) for patients receiving a catheter ablation for atrial fibrillation. There are two models per patient (pre-ablation with patterns of fibrotic remodeling, post-ablation with scar created by the procedure) for 82 individuals. These meshes support the replication of our findings while protecting confidential patient information.

### Files and variables

C..., This repository contains computational meshes of human left atria segmented from late gadolinium enhanced cardiac magnetic resonance imaging. These meshes support the replication of our findings while protecting confidential patient information. This study was approved by the University of Washington Institutional Review Board. All participants provided written informed consent.