Non-invasive Spatial Mapping of Frequencies in Atrial Fibrillation: Correlation With Contact Mapping
Autor: | Miguel Rodrigo, Kian Waddell, Sarah Magee, Albert J. Rogers, Mahmood Alhusseini, Ismael Hernandez-Romero, Alejandro Costoya-Sánchez, Alejandro Liberos, Sanjiv M. Narayan |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
medicine.medical_specialty
Physiology medicine.medical_treatment Driver Basket mapping 030204 cardiovascular system & hematology Intracardiac injection lcsh:Physiology Correlation TECNOLOGIA ELECTRONICA 03 medical and health sciences 0302 clinical medicine Internal medicine Physiology (medical) medicine Original Research Imatges tridimensionals en medicina lcsh:QP1-981 Dominant frequency business.industry Non invasive Spatial mapping Electrocardiographic imaging Atrial fibrillation Ablation medicine.disease Non-invasive mapping Cardiology Enginyeria biomèdica business 030217 neurology & neurosurgery |
Zdroj: | Frontiers in Physiology 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 RODERIC. Repositorio Institucional de la Universitat de Valéncia instname Frontiers in Physiology, Vol 11 (2021) RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia Kian Waddell |
DOI: | 10.3389/fphys.2020.611266 |
Popis: | [EN] 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 (R-2 = 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 (R-2 = 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. This work was supported in part by: Generalitat Valenciana Grants (APOSTD/2017 and APOSTD/2018) and projects (GVA/2018/103); the National Institutes of Health (R01 HL85537; R01 HL149134). |
Databáze: | OpenAIRE |
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