Abstract

Background Atrial fibrillation (AF) is a common cardiac arrhythmia, affecting 33.5 million patients worldwide. The most serious complication is stroke, which is generally attributed to embolism of thrombus from the left atrium (LA). Studies utilizing transesophageal echocardiography (TEE) have shown that decreased blood flow velocities in the LA are risk factors for stroke in AF. However, TEE requires esophageal intubation and cannot fully assess the complex 3D pattern of flow in the LA. In addition, a systematic analysis of the impact of beat-to-beat variations on LA flow characteristics and thus thromboembolic risk is lacking, particularly in the presence of arrhythmia. To better elucidate the role of beat-to-beat flow variations in

Highlights

  • Atrial fibrillation (AF) is a common cardiac arrhythmia, affecting 33.5 million patients worldwide

  • To achieve sufficiently high frame rates needed for realtime flow acquisitions (45-50ms), the 2D flow imaging pulse sequence combines an echo planar imaging (EPI) readout module and with parallel acceleration in the temporal direction (T-PAT) and a novel reconstruction algorithm, shared velocity encoding3

  • Quantification of average and beat-to-beat variability of mean left atrium (LA) flow, peak mean LA velocities, and maximum LA through plane velocities (Fig 1C, D) clearly demonstrated elevated beat-to-beat variability in arrhythmia compared to sinus rhythm for all analyzed LA flow measures

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Summary

Background

Atrial fibrillation (AF) is a common cardiac arrhythmia, affecting 33.5 million patients worldwide. Studies utilizing transesophageal echocardiography (TEE) have shown that decreased blood flow velocities in the LA are risk factors for stroke in AF1,2. C: Beat-to-beat variability of mean LA flow and peak mean LA velocity for all 7 patients included in the study. Different AF phenotypes (arrhythmia vs sinus) we utilize a recently introduced real-time 2D flow imaging method which has shown promising results. Different AF phenotypes (arrhythmia vs sinus) we utilize a recently introduced real-time 2D flow imaging method which has shown promising results3 The goal of this feasibility study was to investigate different measures of LA flow to better understand the impact of different AF phenotypes on LA hemodynamics

Methods
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