ArticleEuropace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology2021
Reconstruction of three-dimensional biventricular activation based on the 12-lead electrocardiogram via patient-specific modelling.
Article in 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, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05327062 (CRT-DRIVE), which is not on this map. Cited by 21 papers.
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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.
CRT-DRIVE: Cardiac Resynchronization Therapy Delivery Guided Non-Invasive Electrical and Venous Anatomy Assessment
Who cites it
21 citing papers in PubMed, 52 citations in OpenAlex.
- An eikonal model with re-excitability for fast simulations in cardiac electrophysiology.The Journal of physiology · 2026Article
- I-GraphECG: Observability-Based Lead Selection and Interpretable Disease Prediction from the 12-Lead ECG Using a Gray-Box Graph Electrophysiology Surrogate.Sensors (Basel, Switzerland) · 2026Article
- Personalized Test Bolus MSCT Protocol for Optimal Coronary Sinus Venous Visualization in Candidates for Cardiac Resynchronization Therapy.Journal of clinical medicine · 2026Article
- Resynchronisation efficacy of pacing strategies depends on the assessment metric: a computational study.Frontiers in physiology · 2026Article
- Harnessing 12-lead ECG and MRI data to personalise repolarisation profiles in cardiac digital twin models for enhanced virtual drug testing.Medical image analysis · 2025Article
- Current trends in virtual electrophysiology use for risk stratification and treatment of ventricular arrhythmias.Frontiers in cardiovascular medicine · 2025Review
- Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation.Physiological reviews · 2024Review
- Toward Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference.IEEE transactions on medical imaging · 2024Article
- Quest for the ideal assessment of electrical ventricular dyssynchrony in cardiac resynchronization therapy.Journal of molecular and cellular cardiology plus · 2024Review
- The evolving state of cardiac resynchronization therapy and conduction system pacing: 25 years of research at EP Europace journal.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 · 2023Review
- Localization of the ventricular pacing site from BSPM and standard 12-lead ECG: a comparison study.Scientific reports · 2023Article
- Combination of personalized computational modeling and machine learning for optimization of left ventricular pacing site in cardiac resynchronization therapy.Frontiers in physiology · 2023Article
- Novel non-invasive ECG imaging method based on the 12-lead ECG for reconstruction of ventricular activation: A proof-of-concept study.Frontiers in cardiovascular medicine · 2023Article
- Credibility assessment of patient-specific computational modeling using patient-specific cardiac modeling as an exemplar.PLoS computational biology · 2022Article
- Synchronization of repolarization after cardiac resynchronization therapy: A combined clinical and modeling study.Journal of cardiovascular electrophysiology · 2022Article
- An Integrated Workflow for Building Digital Twins of Cardiac Electromechanics-A Multi-Fidelity Approach for Personalising Active Mechanics.Mathematics (Basel, Switzerland) · 2022Article
- Modeling the His-Purkinje Effect in Non-invasive Estimation of Endocardial and Epicardial Ventricular Activation.Annals of biomedical engineering · 2022Article
- Whole-heart ventricular arrhythmia modeling moving forward: Mechanistic insights and translational applications.Biophysics reviews · 2021Article
- A novel convolutional neural network for reconstructing surface electrocardiograms from intracardiac electrograms and vice versa.Artificial intelligence in medicine · 2021Article
- GEASI: Geodesic-based earliest activation sites identification in cardiac models.International journal for numerical methods in biomedical engineering · 2021Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsNon-invasive imaging of electrical activation requires high-density body surface potential mapping. The nine electrodes of the 12-lead electrocardiogram (ECG) are insufficient for a reliable reconstruction with standard inverse methods. Patient-specific modelling may offer an alternative route to physiologically constraint the reconstruction. The aim of the study was to assess the feasibility of reconstructing the fully 3D electrical activation map of the ventricles from the 12-lead ECG and cardiovascular magnetic resonance (CMR). METHODS AND
resultsVentricular activation was estimated by iteratively optimizing the parameters (conduction velocity and sites of earliest activation) of a patient-specific model to fit the simulated to the recorded ECG. Chest and cardiac anatomy of 11 patients (QRS duration 126-180 ms, documented scar in two) were segmented from CMR images. Scar presence was assessed by magnetic resonance (MR) contrast enhancement. Activation sequences were modelled with a physiologically based propagation model and ECGs with lead field theory. Validation was performed by comparing reconstructed activation maps with those acquired by invasive electroanatomical mapping of coronary sinus/veins (CS) and right ventricular (RV) and left ventricular (LV) endocardium. The QRS complex was correctly reproduced by the model (Pearson's correlation r = 0.923). Reconstructions accurately located the earliest and latest activated LV regions (median barycentre distance 8.2 mm, IQR 8.8 mm). Correlation of simulated with recorded activation time was very good at LV endocardium (r = 0.83) and good at CS (r = 0.68) and RV endocardium (r = 0.58).
conclusionNon-invasive assessment of biventricular 3D activation using the 12-lead ECG and MR imaging is feasible. Potential applications include patient-specific modelling and pre-/per-procedural evaluation of ventricular activation.
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Registered trials
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