ArticleCirculation. Arrhythmia and electrophysiology2025
Heart Digital Twins Predict Features of Invasive Reentrant Circuits and Ablation Lesions in Scar-Dependent Ventricular Tachycardia.
Article in Circulation. Arrhythmia and electrophysiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- The Hodgkin-Huxley-Katz Prize Lecture: Heart digital twins: A new paradigm in arrhythmia medicine.The Journal of physiology · 2026Article
- 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
- Validating medical digital twins for clinical decision support: beyond predictive accuracy.JAMIA open · 2026Review
- Genotype-specific digital twins for arrhythmia ablation targeting in arrhythmogenic right ventricular cardiomyopathy.Communications medicine · 2026Article
- Digital Twin-Guided Ablation for Ventricular Tachycardia.The New England journal of medicine · 2026Article
- Models of the human heart for biomedical research: Opportunities and challenges.Physiological reports · 2026Review
- Artificial intelligence in neurocardiology: decoding brain-heart network interactions for clinical and translational insights.Frontiers in neuroscience · 2026Review
- Genotype-specific Digital Twins for Arrhythmia Ablation Targeting in Arrhythmogenic Right Ventricular Cardiomyopathy.Research square · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundCatheter ablation of scar-dependent ventricular tachycardia (VT) is frequently hampered by hemodynamic instability, long procedure duration, and high recurrence rates. Magnetic resonance imaging-based personalized heart digital twins may overcome these challenges by noninvasively predicting VT circuits and optimum ablation lesion sites. In this combined clinical and digital twin study, we investigated the relationship between digital twin-predicted VTs and optimum ablation lesion sets with their invasively mapped counterparts during clinical VT ablation.
methodsA total of 18 patients with scar-dependent VT underwent digital twin creation based on preprocedural, contrast-enhanced cardiac magnetic resonance imaging. Using rapid pacing protocols, VT was simulated and ablation targets were derived that would terminate all possible VTs in the models. Patients subsequently underwent invasive VT ablation, including targeting of diastolic activity and optimum entrainment sites. Digital twin-predicted VT circuits and ablation lesions were compared with their invasive clinical counterparts.
resultsForty-three clinical VTs and 92 digital twin VTs were induced. Diastolic activity was seen in 16 of 43 (37.2%) clinical VTs. Sensitivity, specificity, positive predictive, and negative predictive values for the detection of critical VT sites by digital twins were 81.3%, 83.8%, 21.7%, and 98.8%, respectively. At an American Heart Association-segment level, agreement between clinical VT critical sites and digital twin primary predicted sites was moderate, with a κ coefficient of 0.46 (±0.32;
conclusionsHeart digital twin VT circuits and ablation targets accurately predict many features of their respective clinical counterparts but have some limitations in spatial resolution. Our findings demonstrate the significant potential of digital twin technology in guiding catheter ablation for scar-dependent VT.
Indexed as
Identifiers
What OpenQuestion holds
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.