首页> 外文期刊>JACC. Clinical electrophysiology. >The Evolution of Ventricular Scar Substrate Assessment by Using High-Resolution Mapping Platforms: Ongoing Quest for “Ground Truth”*
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The Evolution of Ventricular Scar Substrate Assessment by Using High-Resolution Mapping Platforms: Ongoing Quest for “Ground Truth”*

机译:心室疤痕衬底的进化评估通过使用高分辨率的映射平台:持续的追求“真理”*

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摘要

Substrate identification facilitated by electroa-natomic mapping (EAM) technologies has emerged as the foundation of catheter ablation for ventricular tachycardia (VT) in structural heart disease (1). Because re-entry is typically the mechanism of scar-related VT, substrate mapping techniques focus on: 1) differentiating normal versus abnormal areas of myocardial tissue; and 2) identifying the underlying arrhythmogenic pathophysiological substrate, typically within areas of scar, that contribute to the formation of re-entrant VT circuits. Evaluation of intracardiac bipolar electrogram (EGM) recordings is the basis of substrate mapping and has been used for decades. The development of specific criteria to identify ventricular scar tissue and arrhythmogenic substrate has largely been based on bipolar voltage amplitude and duration cutoff values along with identification of specific morphological characteristics such as fractionated, split, and late potentials (2). The goal is to accurately identify signal characteristics indicative of abnormal myocardial tissue. In this context, histological data are representative of “ground truth,” with all other modalities from the 12-lead electrocardiogram to more complex techniques such as advanced cardiac imaging and high-resolution EAM providing reasonable inferences that can be used clinically to identify abnormal areas of interest.
机译:底物识别了electroa-natomic映射(像)技术成为导管消融的基础室性心动过速(VT)的结构心脏病(1)。因为重返一般scar-related VT的机理,衬底映射技术关注:1)区分心肌的正常与异常区域组织;arrhythmogenic病理生理基质,通常在疤痕、贡献形成的凹角VT电路。评价心脏内的双极电图(临时)录音衬底的基础映射和已使用了几十年。开发特定的标准来确定心室arrhythmogenic和伤疤基质主要是基于双相电压幅值和持续时间截止值除了特定的识别形态特征等分馏分裂,(2)和晚期势。目标是准确地识别信号特征的心肌异常的说明组织。代表“地面实况”,与所有其他从12导心电图模式更复杂的技术,如先进的心脏成像和高分辨率像她们提供合理的推论,可以用于临床识别异常的感兴趣的领域。

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