EDEN (Electrocardiographic Radial Depth Navigation)

地质学 大地测量学 人工智能 计算机科学
作者
Christopher G. Bruce,D. Korel Yildirim,Aravindan Kolandaivelu,Jaffar Khan,Toby Rogers,Dogangun Uzun,Andrea E. Jaimes,Rim Halaby,Daniel A. Herzka,Vasilis Babaliaros,Adam Greenbaum,Robert J. Lederman
出处
期刊:JACC: Clinical Electrophysiology [Elsevier BV]
卷期号:9 (8): 1741-1754
标识
DOI:10.1016/j.jacep.2023.04.016
摘要

Intramyocardial guidewire navigation is a novel technique that allows free transcatheter movement within ventricular muscle. Guidewire radial depth, between endocardial and epicardial surfaces, is ambiguous by x-ray and echocardiography. The aim of this study was to develop a simple tool, EDEN (Electrocardiographic Radial Depth Navigation), to indicate radial depth during intramyocardial guidewire navigation. Combined with routine imaging, EDEN facilitates a new family of intramyocardial catheter procedures to slice, reshape, pace, and ablate the heart. We mapped intramyocardial electrograms of left and right ventricular walls and septum during open- and closed-chest swine procedures (N = 53), including MIRTH (Myocardial Intramural Remodeling by Transvenous Tether) ventriculoplasty. We identified radial depth–dependent features on unipolar electrograms. We developed a machine learning–based classifier to indicate categorical position, and modeled the findings in silico to test understanding of the physiology. EDEN signatures distinguished 5 depth zones throughout left and right ventricular free walls and interventricular septum. Relative ST-segment elevation magnitude best discriminated position and was maximum (40.1 ± 6.5 mV) in the midmyocardium. Subendocardial positions exhibited dominant Q waves with lower-amplitude ST segments (16.8 ± 5.8 mV), whereas subepicardial positions exhibited dominant R waves with lower-amplitude ST segments (15.7 ± 4.8 mV). EDEN was unaffected by pacing-induced left bundle branch block. ST-segment elevation declined over minutes and reappeared after submillimeter guidewire manipulation. Modeling recapitulated EDEN features. The machine learning–based classifier was 97% accurate. EDEN successfully guided MIRTH ventriculoplasty. EDEN provides a simple and reproducible real-time reflection of categorical guidewire-tip radial depth during intramyocardial guidewire navigation. Used in tandem with x-ray, EDEN enables novel, transcatheter, intramyocardial therapies such as MIRTH, SESAME (Septal Surfing Along Midline Endocardium), and cerclage ventriculoplasty.
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