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Left atrial enhancement correlates with myocardial conduction velocity in patients with persistent atrial fibrillation
File | Description | Size | Format | |
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fphys-11-570203.pdf | Published version | 4.09 MB | Adobe PDF | View/Open |
Title: | Left atrial enhancement correlates with myocardial conduction velocity in patients with persistent atrial fibrillation |
Authors: | Ali, R Qureshi, N Liverani, S Roney, C Kim, S Lim, P Tweedy, J Cantwell, C Peters, N |
Item Type: | Journal Article |
Abstract: | Background: Conduction velocity (CV) heterogeneity and myocardial fibrosis both promote re-entry, but the relationship between fibrosis as determined by left atrial (LA) late-gadolinium enhanced cardiac magnetic resonance imaging (LGE-CMRI) and CV remains uncertain. Objective: Although average CV has been shown to correlate with regional LGE-CMRI in patients with persistent AF, we test the hypothesis that a localized relationship exists to underpin LGE-CMRI as a minimally invasive tool to map myocardial conduction properties for risk stratification and treatment guidance. Method: 3D LA electroanatomic maps during LA pacing were acquired from eight patients with persistent AF following electrical cardioversion. Local CVs were computed using triads of concurrently acquired electrograms and were co-registered to allow correlation with LA wall intensities obtained from LGE-CMRI, quantified using normalized intensity (NI) and image intensity ratio (IIR). Association was evaluated using multilevel linear regression. Results: An association between CV and LGE-CMRI intensity was observed at scales comparable to the size of a mapping electrode: −0.11 m/s per unit increase in NI (P < 0.001) and −0.96 m/s per unit increase in IIR (P < 0.001). The magnitude of this change decreased with larger measurement area. Reproducibility of the association was observed with NI, but not with IIR. Conclusion: At clinically relevant spatial scales, comparable to area of a mapping catheter electrode, LGE-CMRI correlates with CV. Measurement scale is important in accurately quantifying the association of CV and LGE-CMRI intensity. Importantly, NI, but not IIR, accounts for changes in the dynamic range of CMRI and enables quantitative reproducibility of the association. |
Issue Date: | 12-Nov-2020 |
Date of Acceptance: | 16-Oct-2020 |
URI: | http://hdl.handle.net/10044/1/84860 |
DOI: | 10.3389/fphys.2020.570203 |
ISSN: | 1664-042X |
Publisher: | Frontiers Media |
Journal / Book Title: | Frontiers in Physiology |
Volume: | 11 |
Copyright Statement: | © 2020 Ali, Qureshi, Liverani, Roney, Kim, Lim, Tweedy, Cantwell and Peters. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
Keywords: | 0606 Physiology 1116 Medical Physiology 1701 Psychology |
Publication Status: | Published |
Article Number: | ARTN 570203 |
Appears in Collections: | Bioengineering Aeronautics |
This item is licensed under a Creative Commons License