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Noninvasive electroanatomic mapping of human ventricular arrhythmias with electrocardiographic imaging.


ABSTRACT: The rapid heartbeat of ventricular tachycardia (VT) can lead to sudden cardiac death and is a major health issue worldwide. Efforts to identify patients at risk, determine mechanisms of VT, and effectively prevent and treat VT through a mechanism-based approach would all be facilitated by continuous, noninvasive imaging of the arrhythmia over the entire heart. Here, we present noninvasive real-time images of human ventricular arrhythmias using electrocardiographic imaging (ECGI). Our results reveal diverse activation patterns, mechanisms, and sites of initiation of human VT. The spatial resolution of ECGI is superior to that of the routinely used 12-lead electrocardiogram, which provides only global information, and ECGI has distinct advantages over the currently used method of mapping with invasive catheter-applied electrodes. The spatial resolution of this method and its ability to image electrical activation sequences over the entire ventricular surfaces in a single heartbeat allowed us to determine VT initiation sites and continuation pathways, as well as VT relationships to ventricular substrates, including anatomical scars and abnormal electrophysiological substrate. Thus, ECGI can map the VT activation sequence and identify the location and depth of VT origin in individual patients, allowing personalized treatment of patients with ventricular arrhythmias.

SUBMITTER: Wang Y 

PROVIDER: S-EPMC3182467 | biostudies-literature | 2011 Aug

REPOSITORIES: biostudies-literature

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Noninvasive electroanatomic mapping of human ventricular arrhythmias with electrocardiographic imaging.

Wang Yong Y   Cuculich Phillip S PS   Zhang Junjie J   Desouza Kavit A KA   Vijayakumar Ramya R   Chen Jane J   Faddis Mitchell N MN   Lindsay Bruce D BD   Smith Timothy W TW   Rudy Yoram Y  

Science translational medicine 20110801 98


The rapid heartbeat of ventricular tachycardia (VT) can lead to sudden cardiac death and is a major health issue worldwide. Efforts to identify patients at risk, determine mechanisms of VT, and effectively prevent and treat VT through a mechanism-based approach would all be facilitated by continuous, noninvasive imaging of the arrhythmia over the entire heart. Here, we present noninvasive real-time images of human ventricular arrhythmias using electrocardiographic imaging (ECGI). Our results rev  ...[more]

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