Key result
Automated tracking algorithm locates AF reentries with ~87% accuracy in an in-silico model.
Why the study?
In some persistent AF patients, localized drivers may sustain AF and represent possible ablation targets, prompting this in silico test of locating AF drivers from high-density electrode grid catheter mapping.
Does tracking propagation patterns from high-density electrode grid mapping accurately locate AF drivers in an in-silico model?
Population
Volumetric 3D atrial model simulating 8 AF episodes (5 LA, 3 RA)
Design
In-silico simulation study
Authors
Loading...
Hypothesis-generating for propagation-based AF mapping algorithms; validation in vivo required before clinical testing.
Does tracking propagation patterns from high-density electrode grid mapping accurately locate AF drivers in an in-silico model?
An in-silico algorithm using propagation patterns from high-density mapping can track localized AF drivers with high accuracy but low sensitivity.
Marques et al. (2022) studied Atrial Fibrillation (n=8). Sequential mapping with high-density electrode grid and tracking algorithm was evaluated on Accuracy of detecting reentries. An automated tracking algorithm based on propagation patterns correctly located atrial fibrillation reentries with an accuracy of 87.2% in an in-silico model.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: