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电描记血流图在心房颤动中的应用:理论基础与初步观察。

Electrographic flow mapping for atrial fibrillation: theoretical basis and preliminary observations.

机构信息

Department of Cardiovascular Medicine, Beaumont Hospital, Oakland University William Beaumont School of Medicine, 3601 West 13 Mile Rd., Royal Oaks, MI, 48973, USA.

Ablacon Inc., Wheat Ridge, CO, USA.

出版信息

J Interv Card Electrophysiol. 2023 Jun;66(4):1015-1028. doi: 10.1007/s10840-022-01308-8. Epub 2022 Aug 15.

DOI:10.1007/s10840-022-01308-8
PMID:35969338
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10172240/
Abstract

Ablation strategies remain poorly defined for persistent atrial fibrillation (AF) patients with recurrence despite intact pulmonary vein isolation (PVI). As the ability to perform durable PVI improves, the need for advanced mapping to identify extra-PV sources of AF becomes increasingly evident. Multiple mapping technologies attempt to localize these self-sustained triggers and/or drivers responsible for initiating and/or maintaining AF; however, current approaches suffer from technical limitations. Electrographic flow (EGF) mapping is a novel mapping method based on well-established principles of optical flow and fluid dynamics. It enables the full spatiotemporal reconstruction of organized wavefront propagation within the otherwise chaotic and disorganized electrical conduction of AF. Given the novelty of EGF mapping and relative unfamiliarity of most clinical electrophysiologists with the mathematical principles powering the EGF algorithm, this paper provides an in-depth explanation of the technical/mathematical foundations of EGF mapping and demonstrates clinical applications of EGF mapping data and analyses. Starting with a 64-electrode basket catheter, unipolar EGMs are recorded and processed using an algorithm to visualize the electrographic flow and highlight the location of high prevalence AF "source" activity. The AF sources are agnostic to the specific mechanisms of source signal generation.

摘要

对于持续性心房颤动 (AF) 患者,尽管肺静脉隔离 (PVI) 完整,但仍存在复发的情况,消融策略仍未明确定义。随着进行持久 PVI 的能力的提高,识别 AF 的额外肺静脉源的高级映射的需求变得越来越明显。多种映射技术试图定位这些自我维持的触发因素和/或驱动因素,这些触发因素和/或驱动因素负责发起和/或维持 AF;然而,目前的方法存在技术限制。电图流量 (EGF) 映射是一种基于成熟的光流和流体动力学原理的新型映射方法。它能够完整地重建在 otherwise chaotic 和 disorganized 电传导中的有序波前传播的时空结构。鉴于 EGF 映射的新颖性以及大多数临床电生理学家对为 EGF 算法提供动力的数学原理相对不熟悉,本文深入解释了 EGF 映射的技术/数学基础,并演示了 EGF 映射数据和分析的临床应用。从 64 电极篮导管开始,使用算法记录和处理单极电图,并可视化电图流量并突出显示高流行 AF“源”活动的位置。AF 源与源信号产生的特定机制无关。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2402/10172240/c391528e16d3/10840_2022_1308_Fig7_HTML.jpg
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Europace. 2022 Feb 2;24(2):313-330. doi: 10.1093/europace/euab254.
2
First-in-human demonstration of 18-month spatiotemporal stability of active atrial fibrillation source detected by electrographic flow mapping in persistent atrial fibrillation.通过心电图血流图检测到的持续性心房颤动中活跃房颤源的18个月时空稳定性的首次人体验证。
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J Clin Med. 2025 Jan 22;14(3):693. doi: 10.3390/jcm14030693.
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