Left Atrial Enhancement Correlates With Myocardial Conduction Velocity in Patients With Persistent Atrial Fibrillation

被引:5
|
作者
Ali, Rheeda L. [1 ,2 ,3 ,8 ]
Qureshi, Norman A. [1 ,2 ]
Liverani, Silvia [4 ]
Roney, Caroline H. [1 ,2 ,3 ,7 ]
Kim, Steven [5 ]
Lim, P. Boon [1 ,2 ]
Tweedy, Jennifer H. [1 ,3 ]
Cantwell, Chris D. [1 ,6 ]
Peters, Nicholas S. [1 ,2 ]
机构
[1] Imperial Coll London, Electrocardiomaths Programme, Imperial Ctr Cardiac Engn, London, England
[2] Imperial Coll London, Natl Heart & Lung Inst, London, England
[3] Imperial Coll London, Dept Bioengn, London, England
[4] Queen Mary Univ London, Sch Math Sci, London, England
[5] Abbot Med, St Paul, MN USA
[6] Imperial Coll London, Dept Aeronaut, London, England
[7] Kings Coll London, Sch Biomed Engn & Imaging Sci, London, England
[8] Johns Hopkins Univ, Baltimore, MD 21218 USA
来源
FRONTIERS IN PHYSIOLOGY | 2020年 / 11卷
关键词
LGE-MRI; image segmentation; fibrosis; electro anatomical mapping; conduction velocities; Atrial fibrillation; left atrium; RESONANCE; HEART; REGISTRATION; ACTIVATION; AGE;
D O I
10.3389/fphys.2020.570203
中图分类号
Q4 [生理学];
学科分类号
071003 ;
摘要
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.
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页数:9
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