Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA; Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, Maryland, USA.
Division of Cardiology, Department of Medicine, Queen Elizabeth II Health Sciences Centre, Halifax, Nova Scotia, Canada.
JACC Clin Electrophysiol. 2021 Mar;7(3):395-407. doi: 10.1016/j.jacep.2020.09.009. Epub 2020 Nov 25.
The objective of this study was to present a new system, the Automatic Arrhythmia Origin Localization (AAOL) system, which used incomplete electroanatomic mapping (EAM) for localization of idiopathic ventricular arrhythmia (IVA) origin on the patient-specific geometry of left ventricular, right ventricular, and neighboring vessels. The study assessed the accuracy of the system in localizing IVA source sites on cardiac structures where pace mapping is challenging.
An intraprocedural automated site of origin localization system was previously developed to identify the origin of early left ventricular activation by using 12-lead electrocardiograms (ECGs). However, it has limitations, as it could not identify the site of origin in the right ventricle and relied on acquiring a complete EAM.
Twenty patients undergoing IVA catheter ablation had a 12-lead ECG recorded during clinical arrhythmia and during pacing at various locations identified on EAM geometries. The new system combined 3-lead (III, V, and V) 120-ms QRS integrals and patient-specific EAM geometry with pace mapping to predict the site of earliest ventricular activation. The predicted site was projected onto EAM geometry.
Twenty-three IVA origin sites were clinically identified by activation mapping and/or pace mapping (8, right ventricle; 15, left ventricle, including 8 from the posteromedial papillary muscle, 2 from the aortic root, and 1 from the distal coronary sinus). The new system achieved a mean localization accuracy of 3.6 mm for the 23 mapped IVAs.
The new intraprocedural AAOL system achieved accurate localization of IVA origin in ventricles and neighboring vessels, which could facilitate ablation procedures for patients with IVAs.
本研究旨在介绍一种新系统,即自动心律失常起源定位(AAOL)系统,该系统使用不完全的电解剖图(EAM)对左心室、右心室和邻近血管的特定患者几何形状的特发性室性心律失常(IVA)起源进行定位。该研究评估了该系统在起搏标测具有挑战性的心脏结构中定位 IVA 源部位的准确性。
先前开发了一种术中自动起源定位系统,通过使用 12 导联心电图(ECG)来识别左心室早期激活的起源。然而,它存在局限性,因为它无法识别右心室的起源,并且依赖于获取完整的 EAM。
20 名接受 IVA 导管消融的患者在临床心律失常期间和在 EAM 几何形状上的各个位置起搏时记录 12 导联 ECG。新系统结合了 3 导联(III、V 和 V)120-ms QRS 积分和患者特定的 EAM 几何形状与起搏标测相结合,以预测最早心室激活的部位。预测的部位被投影到 EAM 几何形状上。
通过激活标测和/或起搏标测在临床上识别出 23 个 IVA 起源部位(8 个位于右心室,15 个位于左心室,包括 8 个来自后内侧乳头肌,2 个来自主动脉根部,1 个来自远端冠状窦)。新系统对 23 个标测的 IVA 实现了平均 3.6mm 的定位精度。
新的术中 AAOL 系统实现了对心室和邻近血管的 IVA 起源的精确定位,这可能有助于 IVA 患者的消融手术。