ArticleCirculation. Arrhythmia and electrophysiology2022
Forward-Solution Noninvasive Computational Arrhythmia Mapping: The VMAP Study.
Article in Circulation. Arrhythmia and electrophysiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 14 papers.
What it found
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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.
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.
Clinical Validation of the Vektor Computational ECG Mapping System (vMap™) for Atrial and Ventricular Arrhythmias/Pacing
Prospective Use of Computational Cardiac Imaging Analysis to Guide Ventricular Tachycardia Ablation Procedures (AI-VT)
Who cites it
14 citing papers in PubMed.
- AI-Enabled ECG Mapping to Guide Leadless Atrial Pacemaker Implantation in the Bachmann's Bundle Region.JACC. Case reports · 2026Article
- Artificial-intelligence electrocardiography and computed tomography mapping to guide surgical ablation of ventricular arrhythmias.JTCVS open · 2026Article
- Premature Ventricular Complex-Induced Cardiomyopathy, a Review: Current Insights, Diagnostic Challenges, and Therapeutic Strategies.Journal of clinical medicine · 2026Review
- Artificial intelligence ECG localization facilitates focused activation mapping and improves outcomes in hemodynamically unstable ventricular tachycardia.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026Article
- Noninvasive Cardiac Electrical Activity Mapping Systems: Current Available Options.Reviews in cardiovascular medicine · 2025Review
- Artificial intelligence-based accurate myocardial infarction mapping using 12-lead electrocardiography.European heart journal. Digital health · 2025Article
- First demonstration of left bundle branch area pacemaker implantation guided by artificial intelligence electrocardiographic mapping.HeartRhythm case reports · 2025Article
- State of the Art of Artificial Intelligence in Clinical Electrophysiology in 2025: A Scientific Statement of the European Heart Rhythm Association (EHRA) of the ESC, the Heart Rhythm Society (HRS), and the ESC Working Group on E-Cardiology.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025Article
- Patient selection, ventricular tachycardia substrate delineation, and data transfer for stereotactic arrhythmia radioablation: a clinical consensus statement of the European Heart Rhythm Association of the European Society of Cardiology and the Heart Rhythm Society.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025Article
- Papillary Muscles of the Left Ventricle: Integrating Electrical and Mechanical Dynamics.Journal of cardiovascular development and disease · 2024Review
- Fusion Imaging of Non-Invasive and Invasive Cardiac Electroanatomic Mapping in Patients with Ventricular Ectopic Beats: A Feasibility Analysis in a Case Series.Diagnostics (Basel, Switzerland) · 2024Article
- Use of computational electrocardiographic mapping to guide successful surgical cryoablation of a premature ventricular contraction originating near an intramural anomalous coronary artery.HeartRhythm case reports · 2024Article
- Successful Noninvasive 12-Lead ECG Mapping-Guided Radiotherapy of Inaccessible Ventricular Tachycardia Substrate Due to Mechanical Valves.JACC. Case reports · 2023Article
- Mapping for nonpulmonary vein atrial fibrillation sources: The road to improved ablation outcomes.Journal of cardiovascular electrophysiology · 2023Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
backgroundThe accuracy of noninvasive arrhythmia source localization using a forward-solution computational mapping system has not yet been evaluated in blinded, multicenter analysis. This study tested the hypothesis that a computational mapping system incorporating a comprehensive arrhythmia simulation library would provide accurate localization of the site-of-origin for atrial and ventricular arrhythmias and pacing using 12-lead ECG data when compared with the gold standard of invasive electrophysiology study and ablation.
methodsThe VMAP study (Vectorcardiographic Mapping of Arrhythmogenic Probability) was a blinded, multicenter evaluation with final data analysis performed by an independent core laboratory. Eligible episodes included atrial and ventricular: tachycardia, fibrillation, pacing, premature atrial and ventricular complexes, and orthodromic atrioventricular reentrant tachycardia. Mapping system results were compared with the gold standard site of successful ablation or pacing during electrophysiology study and ablation. Mapping time was assessed from time-stamped logs. Prespecified performance goals were used for statistical comparisons.
resultsA total of 255 episodes from 225 patients were enrolled from 4 centers. Regional accuracy for ventricular tachycardia and premature ventricular complexes in patients without significant structural heart disease (n=75, primary end point) was 98.7% (95% CI, 96.0%-100%;
conclusionsComputational ECG mapping using a forward-solution approach exceeded prespecified accuracy goals for arrhythmia and pacing localization. Spatial accuracy analysis demonstrated clinically actionable results. This rapid, noninvasive mapping technology may facilitate catheter-based and noninvasive targeted arrhythmia therapies. REGISTRATION: URL: https://www. CLINICALTRIALS: gov; Unique identifier: NCT04559061.
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Registered trials
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.