Observational studyCirculation2025
Personalized Heart Digital Twins Detect Substrate Abnormalities in Scar-Dependent Ventricular Tachycardia.
Observational study in Circulation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04632394 (Can MRI-based Computational Modelling of the Heart be Used to Predict Critical Substrate in Scar-dependent Ventricular Tachycardia Ablation?), which is not on this map. Cited by 27 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.
Can MRI-based Computational Modelling of the Heart be Used to Predict Critical Substrate in Scar-dependent Ventricular Tachycardia Ablation?
Who cites it
27 citing papers in PubMed.
- Accounting for uncertainty in computational models of ventricular tachycardia improves ablation guidance.Nature cardiovascular research · 2026Article
- Incorporating uncertainty into digital twins can improve ablation planning for ventricular tachycardia.Nature cardiovascular research · 2026Article
- The Hodgkin-Huxley-Katz Prize Lecture: Heart digital twins: A new paradigm in arrhythmia medicine.The Journal of physiology · 2026Article
- AI-based multimodal integration of genomics and electronic health records.Nature reviews. Genetics · 2026Review
- Three-Dimensional Perspective on Scar-Related Ventricular Tachycardia Substrate: Critical Conduction Abnormalities as Ablation Targets and Implications for Procedural Endpoints.Reviews in cardiovascular medicine · 2026Review
- Timing of Catheter Ablation for Ventricular Tachycardia in Ischemic Cardiomyopathy: Evidence, Mechanisms, and the Emerging Role of Timely ICD-Guided Intervention.Journal of cardiovascular electrophysiology · 2026Review
- Identifying the Presence and Characteristics of Mid-Myocardial and Epicardial Fibrosis From Intracardiac Electrograms in Patients Undergoing Ventricular Arrhythmia Ablation Using a Transformer-Based Self-Supervised Classifier.Circulation. Arrhythmia and electrophysiology · 2026Article
- Panoramic hyperspectral optical mapping of cardiac membrane potential and tissue type.Journal of biomedical optics · 2026Article
- Genotype-specific digital twins for arrhythmia ablation targeting in arrhythmogenic right ventricular cardiomyopathy.Communications medicine · 2026Article
- The Role of Multimodality Imaging in Guiding Ventricular Tachycardia Ablation: An Updated Review.Reviews in cardiovascular medicine · 2026Review
- Reimagining human-centric drug development with new approach methodologies.Science (New York, N.Y.) · 2026Review
- Digital twins and simulations in transcatheter coronary and structural heart interventions.European heart journal. Digital health · 2026Review
- Efficacy and safety of ventricular tachycardia ablation versus antiarrhythmics in ischemic cardiomyopathy: a network meta-analysis.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2026Article
- From polygenic risk to digital twins: the future of personalised cardiovascular medicine.Frontiers in cardiovascular medicine · 2026Review
- Innovative Management of Rhythm Disorders in Adults with Congenital Heart Disease.Methodist DeBakey cardiovascular journal · 2026Review
- Epicardial Ventricular Tachycardia Ablation: A Contemporary Review of Indications, Techniques, and Practical Approaches for Challenging Substrates.Reviews in cardiovascular medicine · 2026Review
- Artificial intelligence in neurocardiology: decoding brain-heart network interactions for clinical and translational insights.Frontiers in neuroscience · 2026Review
- Digital twins come to the life sciences.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Genotype-specific Digital Twins for Arrhythmia Ablation Targeting in Arrhythmogenic Right Ventricular Cardiomyopathy.Research square · 2025Article
- The Integral Role of Cardiac Imaging in the Electrophysiology Field.The Journal of innovations in cardiac rhythm management · 2025Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundCurrent outcomes from catheter ablation for scar-dependent ventricular tachycardia (VT) are limited by high recurrence rates and long procedure durations. Personalized heart digital twin technology presents a noninvasive method of predicting critical substrate in VT, and its integration into clinical VT ablation offers a promising solution. The accuracy of the predictions of digital twins to detect invasive substrate abnormalities is unknown. We present the first prospective analysis of digital twin technology in predicting critical substrate abnormalities in VT.
methodsHeart digital twin models were created from 18 patients with scar-dependent VT undergoing catheter ablation. Contrast-enhanced cardiac magnetic resonance images were used to reconstruct finite-element meshes, onto which regional electrophysiological properties were applied. Rapid-pacing protocols were used to induce VTs and to define the VT circuits. Predicted optimum ablation sites to terminate all VTs in the models were identified. Invasive substrate mapping was performed, and the digital twins were merged with the electroanatomical map. Electrogram abnormalities and regions of conduction slowing were compared between digital twin-predicted sites and nonpredicted areas.
resultsElectrogram abnormalities were significantly more frequent in digital twin-predicted sites compared with nonpredicted sites (468/1029 [45.5%] versus 519/1611 [32.2%];
conclusionsDigital twin-predicted sites display a higher prevalence of abnormal and prolonged electrograms compared with nonpredicted sites and accurately identify regions of conduction slowing. Digital twin technology may help improve substrate-based VT ablation. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT04632394.
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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.