dc.contributor.author |
Rodrigo Bort, Miguel |
|
dc.contributor.author |
Waddell, Kian |
|
dc.contributor.author |
Magee, Sarah |
|
dc.contributor.author |
Rogers, A. J. |
|
dc.contributor.author |
Alhusseini, Mahmood I. |
|
dc.contributor.author |
Hernández-Romero, Ismael |
|
dc.contributor.author |
Costoya-Sánchez, Alejandro |
|
dc.contributor.author |
Liberos, Alejandro |
|
dc.contributor.author |
Narayan, Sanjiv M. |
|
dc.date.accessioned |
2022-05-13T14:31:33Z |
|
dc.date.available |
2022-05-13T14:31:33Z |
|
dc.date.issued |
2021 |
|
dc.identifier.uri |
https://hdl.handle.net/10550/82769 |
|
dc.description.abstract |
Introduction: Regional differences in activation rates may contribute to the electrical substrates that maintain atrial fibrillation (AF), and estimating them non-invasively may help guide ablation or select anti-arrhythmic medications. We tested whether non-invasive assessment of regional AF rate accurately represents intracardiac recordings. Methods: In 47 patients with AF (27 persistent, age 63 ± 13 years) we performed 57-lead non-invasive Electrocardiographic Imaging (ECGI) in AF, simultaneously with 64-pole intracardiac signals of both atria. ECGI was reconstructed by Tikhonov regularization. We constructed personalized 3D AF rate distribution maps by Dominant Frequency (DF) analysis from intracardiac and non-invasive recordings. Results: Raw intracardiac and non-invasive DF differed substantially, by 0.54 Hz [0.13 - 1.37] across bi-atrial regions (R2 = 0.11). Filtering by high spectral organization reduced this difference to 0.10 Hz (cycle length difference of 1 - 11 ms) [0.03 - 0.42] for patient-level comparisons (R2 = 0.62), and 0.19 Hz [0.03 - 0.59] and 0.20 Hz [0.04 - 0.61] for median and highest DF, respectively. Non-invasive and highest DF predicted acute ablation success (p = 0.04). Conclusion: Non-invasive estimation of atrial activation rates is feasible and, when filtered by high spectral organization, provide a moderate estimate of intracardiac recording rates in AF. Non-invasive technology could be an effective tool to identify patients who may respond to AF ablation for personalized therapy. |
|
dc.language.iso |
eng |
|
dc.relation.ispartof |
Frontiers In Physiology, 2021, vol. 11, num. 611266 |
|
dc.source |
Rodrigo Bort, Miguel Waddell, Kian Magee, Sarah Rogers, A. J. Alhusseini, Mahmood I. Hernández-Romero, Ismael Costoya-Sánchez, Alejandro Liberos, Alejandro Narayan, Sanjiv M. 2021 Non-invasive Spatial Mapping of Frequencies in Atrial Fibrillation: Correlation With Contact Mapping Frontiers In Physiology 11 611266 |
|
dc.subject |
Imatges tridimensionals en medicina |
|
dc.subject |
Enginyeria biomèdica |
|
dc.title |
Non-invasive Spatial Mapping of Frequencies in Atrial Fibrillation: Correlation With Contact Mapping |
|
dc.type |
journal article |
es_ES |
dc.date.updated |
2022-05-13T14:31:33Z |
|
dc.identifier.doi |
https://doi.org/10.3389/fphys.2020.611266 |
|
dc.identifier.idgrec |
152895 |
|
dc.rights.accessRights |
open access |
es_ES |