Evidence map›Paper›PMID 33736758›Full record

ArticleJACC. Clinical electrophysiology2021

Prospective Multicenter Assessment of a New Intraprocedural Automated System for Localizing Idiopathic Ventricular Arrhythmia Origins.

Shijie Zhou, Amir AbdelWahab, John L Sapp, Eric Sung, Konstantinos N Aronis, James W Warren, Paul J MacInnis, Rushil Shah, B Milan Horáček, Ronald Berger and 3 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in JACC. Clinical electrophysiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 37% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. AI-Based QRS Onset Detection in the Early Ventricular Activation Site ECGs.IEEE journal of biomedical and health informatics · 2026
    Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 2 countries.

Shijie ZhouDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA; Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, Maryland, USA. Electronic address: shijie.zhou@jhu.edu.
Amir AbdelWahabDivision of Cardiology, Department of Medicine, Queen Elizabeth II Health Sciences Centre, Halifax, Nova Scotia, Canada.
John L SappDivision of Cardiology, Department of Medicine, Queen Elizabeth II Health Sciences Centre, Halifax, Nova Scotia, Canada; Department of Physiology and Biophysics, Dalhousie University, Halifax, Nova Scotia, Canada.
Eric SungDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA; Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, Maryland, USA.
Konstantinos N AronisAlliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, Maryland, USA; Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, Johns Hopkins Hospital, Baltimore, Maryland, USA.
James W WarrenDepartment of Physiology and Biophysics, Dalhousie University, Halifax, Nova Scotia, Canada.
Paul J MacInnisDepartment of Physiology and Biophysics, Dalhousie University, Halifax, Nova Scotia, Canada.
Rushil ShahSection of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, Johns Hopkins Hospital, Baltimore, Maryland, USA.
B Milan HoráčekSchool of Biomedical Engineering, Dalhousie University, Halifax, Nova Scotia, Canada.
Ronald BergerAlliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, Maryland, USA; Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, Johns Hopkins Hospital, Baltimore, Maryland, USA.
Harikrishna TandriAlliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, Maryland, USA; Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, Johns Hopkins Hospital, Baltimore, Maryland, USA.
Natalia A TrayanovaDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA; Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, Maryland, USA.
Jonathan ChrispinAlliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, Maryland, USA; Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine, Johns Hopkins Hospital, Baltimore, Maryland, USA.
Johns Hopkins University · USDalhousie University · CAQueen Elizabeth II Health Sciences Centre · CAJohns Hopkins Hospital · US

Funding

Infarct-related Ventricular Tachycardia Mechanisms: From Micro to ClinicalR01HL142496 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TRAYANOVA, NATALIA A. · 2019 to 2022
$3.1M
Exploration of Arrhythmogenic Triggers and Substrates in Heart FailureR01HL126802 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI EFIMOV, IGOR R, GORELIK, JULIA · 2016 to 2019
$2.8M
NHLBI NIH HHS R01 HL126802NHLBI NIH HHS R01 HL142496
6 · The paper itself

Abstract

objectivesThe 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.

backgroundAn 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.

methodsTwenty 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

resultsTwenty-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.

conclusionsThe new intraprocedural AAOL system achieved accurate localization of IVA origin in ventricles and neighboring vessels, which could facilitate ablation procedures for patients with IVAs.

Indexed as

Catheter AblationTachycardia, VentricularArrhythmias, CardiacElectrocardiographyHumansProspective Studiesablationactivation mappingidiopathic ventricular arrhythmiasidiopathic ventricular tachycardiapace mappingpremature ventricular complexesradiofrequency

Identifiers

PMID33736758
PMCPMC7980036
OpenAlexW3108264162

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.