Assessment of an ECG-Based System for Localizing Ventricular Arrhythmias in Patients With Structural Heart Disease

被引:6
|
作者
Zhou, Shijie [1 ]
AbdelWahab, Amir [2 ]
Sapp, John L. [2 ,4 ]
Sung, Eric [1 ,6 ]
Aronis, Konstantinos N. [3 ,6 ]
Warren, James W. [4 ]
MacInnis, Paul J. [4 ]
Shah, Rushil [3 ]
Horacek, B. Milan [5 ]
Berger, Ronald [1 ,3 ]
Tandri, Harikrishna [1 ,3 ]
Trayanova, Natalia A. [1 ,6 ]
Chrispin, Jonathan [1 ,3 ]
机构
[1] Johns Hopkins Univ, Alliance Cardiovasc Diagnost & Treatment Innovat, Hackerman Hall,Suite 218,3400 North Charles St, Baltimore, MD 21218 USA
[2] Queen Elizabeth 2 Hlth Sci Ctr, Dept Med, Halifax, NS, Canada
[3] Johns Hopkins Univ Hosp, Dept Med, Div Cardiol, Sect Cardiac Electrophysiol, Baltimore, MD 21287 USA
[4] Dalhousie Univ, Dept Physiol & Biophys, Halifax, NS, Canada
[5] Dalhousie Univ, Sch Biomed Engn, Halifax, NS, Canada
[6] Johns Hopkins Univ, Dept Biomed Engn, Baltimore, MD 21218 USA
来源
基金
美国国家卫生研究院;
关键词
ECG; pace-mapping; premature ventricular contraction (PVC); radiofrequency (RF) ablation; structural heart disease (SHD); ventricular tachycardia (VT); 12-LEAD ELECTROCARDIOGRAM; CATHETER ABLATION; TACHYCARDIA; ACCESS; SITE;
D O I
10.1161/JAHA.121.022217
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background We have previously developed an intraprocedural automatic arrhythmia-origin localization (AAOL) system to identify idiopathic ventricular arrhythmia origins in real time using a 3-lead ECG. The objective was to assess the localization accuracy of ventricular tachycardia (VT) exit and premature ventricular contraction (PVC) origin sites in patients with structural heart disease using the AAOL system. Methods and Results In retrospective and prospective case series studies, a total of 42 patients who underwent VT/PVC ablation in the setting of structural heart disease were recruited at 2 different centers. The AAOL system combines 120-ms QRS integrals of 3 leads (III, V2, V6) with pace mapping to predict VT exit/PVC origin site and projects that site onto the patient-specific electroanatomic mapping surface. VT exit/PVC origin sites were clinically identified by activation mapping and/or pace mapping. The localization error of the VT exit/PVC origin site was assessed by the distance between the clinically identified site and the estimated site. In the retrospective study of 19 patients with structural heart disease, the AAOL system achieved a mean localization accuracy of 6.5 +/- 2.6 mm for 25 induced VTs. In the prospective study with 23 patients, mean localization accuracy was 5.9 +/- 2.6 mm for 26 VT exit and PVC origin sites. There was no difference in mean localization error in epicardial sites compared with endocardial sites using the AAOL system (6.0 versus 5.8 mm, P=0.895). Conclusions The AAOL system achieved accurate localization of VT exit/PVC origin sites in patients with structural heart disease; its performance is superior to current systems, and thus, it promises to have potential clinical utility.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Antiarrhythmic effects of renal sympathetic denervation in patients with refractory ventricular arrhythmias and structural heart disease
    Elvan, Arif
    HEART RHYTHM, 2020, 17 (02) : 228 - 229
  • [32] The predictive value and correlation analysis on structural heart disease in patients with ventricular arrhythmias by studying of heart rate variability
    Ge, Yuzhi
    Wu, Zhiting
    Xiong, Lijuan
    Wang, Yunxia
    Liu, Yanyang
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2015, 66 (16) : C64 - C64
  • [33] Detection of abnormal left ventricular geometry in patients without cardiovascular disease through machine learning: An ECG-based approach
    Angelaki, Eleni
    Marketou, Maria E.
    Barmparis, Georgios D.
    Patrianakos, Alexandros
    Vardas, Panos E.
    Parthenakis, Fragiskos
    Tsironis, Giorgos P.
    JOURNAL OF CLINICAL HYPERTENSION, 2021, 23 (05): : 935 - 945
  • [34] Interpretable Machine Learning Techniques in ECG-Based Heart Disease Classification: A Systematic Review
    Ayano, Yehualashet Megersa
    Schwenker, Friedhelm
    Dufera, Bisrat Derebssa
    Debelee, Taye Girma
    DIAGNOSTICS, 2023, 13 (01)
  • [35] Advancement in cardiac imaging for treatment of ventricular arrhythmias in structural heart disease
    Sramko, Marek
    Hoogendoorn, Jarieke C.
    Glashan, Claire A.
    Zeppenfeld, Katja
    EUROPACE, 2019, 21 (03): : 383 - 403
  • [36] Online ECG-based Features for Cognitive Load Assessment
    Chanel, Caroline P. C.
    Wilson, Matthew D.
    Scannella, Sebastien
    2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), 2019, : 3710 - 3717
  • [37] Arrhythmias in Structural Heart Disease
    H. Sawyer Gillespie
    Charles C. H. Lin
    Jordan M. Prutkin
    Current Cardiology Reports, 2014, 16
  • [38] Arrhythmias in Structural Heart Disease
    Gillespie, H. Sawyer
    Lin, Charles C. H.
    Prutkin, Jordan M.
    CURRENT CARDIOLOGY REPORTS, 2014, 16 (08)
  • [39] Twelve-Lead ECG of Ventricular Tachycardia in Structural Heart Disease
    de Riva, Marta
    Watanabe, Masaya
    Zeppenfeld, Katja
    CIRCULATION-ARRHYTHMIA AND ELECTROPHYSIOLOGY, 2015, 8 (04): : 951 - 962
  • [40] SULFINPYRAZONE AND VENTRICULAR ARRHYTHMIAS IN PATIENTS WITH CORONARY HEART-DISEASE
    HOMBACH, V
    MADGE, W
    BRAUN, V
    HOPP, HW
    SCHERER, HE
    BEHRENBECK, DW
    TAUCHERT, M
    HILGER, HH
    ZEITSCHRIFT FUR KARDIOLOGIE, 1981, 70 (04): : 295 - 295