Assessment of Intraprocedural Automated Arrhythmia Origin Localization System for Localizing Pacing Sites in 3D Space

IF 7.7 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS JACC. Clinical electrophysiology Pub Date : 2025-05-01 Epub Date: 2025-01-29 DOI:10.1016/j.jacep.2024.12.003
Shijie Zhou PhD , John Whitaker MD , Stanislav Goldberg BSc , Amir AbdelWahab MD , William H. Sauer MD , Jonathan Chrispin MD , Ronald D. Berger MD, PhD , Harikrishna Tandri MD , Natalia A. Trayanova PhD , Usha B. Tedrow MD , John L. Sapp MD
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Abstract

Background

The Automated Arrhythmia Origin Localization (AAOL) algorithm was developed for real-time prediction of early ventricular activation origins on a patient-specific electroanatomic (EAM) surface using a 3-lead electrocardiogram (AAOL-Surface). It has not been evaluated in 3-dimensional (3D) space (AAOL-3D), however, which may be important for predicting the arrhythmia origin from intramural or intracavity sites.

Objectives

This study sought to assess the accuracy of AAOL for localizing earliest ventricular activation in 3D space.

Methods

This was a retrospective study of 3 datasets (BWH [Brigham and Women’s Hospital], JHH [Johns Hopkins Hospital], and QEII [Queen Elizabeth II Health Sciences Centre]) involving 47 patients and 48 procedures, with an average of 19 ± 10 pacing sites each. In each patient, individual pacing sites were identified as target sites; the remaining pacing sites served as a training set (including QRS integrals from leads III, V2, and V6 with associated 3D coordinates). The AAOL-3D was then used to predict 3D coordinates of the pacing site. Localization error was assessed as the distance between known and predicted site coordinates, considering different EAM resolutions.

Results

The AAOL-3D achieved a localization accuracy of 7.2 ± 3.1 mm, outperforming the AAOL-Surface (7.2 vs 7.8 mm; P < 0.05), with greater localization error for epicardial than endocardial pacing sites (8.7 vs 7.1 mm; P < 0.05). Cohort-specific analysis consistently favored AAOL-3D over AAOL-Surface in terms of accuracy. Exploration of AAOL-Surface accuracy across varying EAM resolutions showed optimal performance at the original and 75% resolution, with performance declining as resolution decreased.

Conclusions

The AAOL approach accurately identifies early ventricular activation origins in 3D and on EAM surfaces, potentially useful for identifying intramural arrhythmia origins.
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术中自动心律失常起源定位系统在三维空间中定位起搏部位的评估。
背景:利用3导联心电图(AAOL- surface),开发了心律失常起源自动定位(AAOL)算法,用于实时预测患者特异性电解剖(EAM)表面上的早期心室激活起源。然而,它尚未在三维空间(aol -3D)中进行评估,这对于预测室内外或腔内部位的心律失常起源可能很重要。目的:本研究旨在评估AAOL在三维空间定位最早心室活动的准确性。方法:回顾性研究3个数据集(BWH[布莱根妇女医院],JHH[约翰霍普金斯医院]和QEII[伊丽莎白女王二世健康科学中心]),涉及47例患者和48个手术,平均每个19±10个起搏点。在每个患者中,单个起搏部位被确定为靶部位;其余起搏部位作为训练集(包括导联III、V2和V6的QRS积分以及相关的3D坐标)。然后使用aol -3D预测起搏部位的3D坐标。考虑到不同的EAM分辨率,定位误差评估为已知位置坐标与预测位置坐标之间的距离。结果:aol - 3d的定位精度为7.2±3.1 mm,优于aol - surface (7.2 vs 7.8 mm;P < 0.05),心外膜起搏部位定位误差大于心内膜起搏部位(8.7 vs 7.1 mm;P < 0.05)。在准确性方面,群体特异性分析一致支持aol - 3d优于aol - surface。对不同EAM分辨率下的aol -表面精度的探索表明,在原始分辨率和75%分辨率下性能最佳,随着分辨率的降低,性能下降。结论:AAOL方法在3D和EAM表面上准确地识别出早期心室激活的起源,可能有助于识别室性心律失常的起源。
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来源期刊
JACC. Clinical electrophysiology
JACC. Clinical electrophysiology CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
10.30
自引率
5.70%
发文量
250
期刊介绍: JACC: Clinical Electrophysiology is one of a family of specialist journals launched by the renowned Journal of the American College of Cardiology (JACC). It encompasses all aspects of the epidemiology, pathogenesis, diagnosis and treatment of cardiac arrhythmias. Submissions of original research and state-of-the-art reviews from cardiology, cardiovascular surgery, neurology, outcomes research, and related fields are encouraged. Experimental and preclinical work that directly relates to diagnostic or therapeutic interventions are also encouraged. In general, case reports will not be considered for publication.
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