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Frontiers in Non-invasive Cardiac Mapping: Rotors in Atrial Fibrillation-Body Surface Frequency-Phase Mapping

机译:非侵入性心脏定位的前沿领域:心房颤动-体表频率-相位定位中的转子

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摘要

Experimental and clinical data demonstrate that atrial fibrillation (AF) maintenance in animals and groups of patients depends on localized reentrant sources localized primarily to the pulmonary veins (PVs) and the left atrium(LA) posterior wall in paroxysmal AF but elsewhere, including the right atrium (RA), in persistent AF. Moreover, AF can be eliminated by directly ablating AF-driving sources or “rotors,” that exhibit high-frequency, periodic activity. The RADAR-AF randomized trial demonstrated that an ablation procedure based on a more target-specific strategy aimed at eliminating high frequency sites responsible for AF maintenance is as efficacious as and safer than empirically isolating all the PVs.In contrast to the standard ECG, global atrial noninvasive frequency analysis allows non-invasive identification of high-frequency sources before the arrival at the electrophysiology laboratory for ablation. Body surface potential map (BSPM) replicates the endocardial distribution of DFs with localization of the highest DF (HDF) and can identify small areas containing the high-frequency sources. Overall, BSPM had a sensitivity of 75% and specificity of 100% for capturing intracardiac EGMs as having LARA DF gradient. However, raw BSPM data analysis of AF patterns of activity showed incomplete and instable reentrant patterns of activation. Thus, we developed an analysis approach whereby a narrow band-pass filtering allowed selecting the electrical activity projected on the torso at the HDF, which stabilized the projection of rotors that potentially drive AF on the surface. Consequently, driving reentrant patterns (“rotors”) with spatiotemporal stability during >70% of the AF time could be observed noninvasibly after HDF-filtering. Moreover, computer simulations found that the combination of BSPM phase mapping with DF analysis enabled the discrimination of true rotational patterns even during the most complex AF. Altogether, these studies show that the combination of DF analysis with phase maps of HDF-filtered surface ECG recordings allows noninvasive localization of atrial reentries during AF and further a physiologically-based rationale for personalized diagnosis and treatment of patients with AF.
机译:实验和临床数据表明,动物和患者组的房颤(AF)维持取决于局部折返源,该折返源主要位于阵发性AF中的肺静脉(PVs)和左心房(LA)后壁,但在其他位置,包括右侧心房(RA),持续房颤。此外,可以通过直接消融表现出高频周期性活动的AF驱动源或“转子”来消除AF。 RADAR-AF随机试验表明,基于经验的,针对特定目标的消融程序旨在消除导致AF维持的高频部位,与根据经验隔离所有PV一样有效和安全。心房无创频率分析可以在到达电生理实验室进行消融之前,无创地识别高频源。体表电位图(BSPM)复制了DF的心内膜分布,并定位了最高DF(HDF),并可以识别出包含高频源的小区域。总体而言,BSPM捕获具有LARA DF梯度的心脏内EGM的敏感性为75%,特异性为100%。但是,对活动性AF模式的原始BSPM数据分析显示,激活的折返模式不完整且不稳定。因此,我们开发了一种分析方法,其中窄带通滤波允许选择HDF上投射在躯干上的电活动,从而稳定了可能驱动表面AF的转子的投射。因此,在HDF过滤后,可以无创地观察到在AF时间> 70%的时间内具有时空稳定性的驱动折返模式(“转子”)。此外,计算机模拟发现,即使在最复杂的自动对焦期间,BSPM相图与DF分析的结合也可以区分真实的旋转模式。总而言之,这些研究表明,将DF分析与HDF过滤的表面ECG记录的相图相结合,可以在AF期间对心房折返进行无创定位,并进一步为AF患者的个性化诊断和治疗提供基于生理的原理。

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