ArticleNature biomedical engineering2018
Personalized virtual-heart technology for guiding the ablation of infarct-related ventricular tachycardia.
Article in Nature biomedical engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 173 papers, 2 of them syntheses that pooled it.
What it found
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The trial behind it
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Who cites it
173 citing papers in PubMed, 2 syntheses or guidelines pooled it, 278 citations in OpenAlex.
- Digital Twins in Neuro-Oncology: A Systematic Review of Current Implementations, Technical Strategies, and Clinical Applications.Radiology. Imaging cancer · 2026Pooled it
- 2019 HRS/EHRA/APHRS/LAHRS expert consensus statement on catheter ablation of ventricular arrhythmias.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2020Pooled it
- Computed tomography-guided vs conventional catheter ablation for ventricular tachycardia: the InEurHeart trial.European heart journal · 2026Trial
- Amiodarone's impact on substrate mapping for scar-related ventricular tachycardia: Insights from personalized heart digital twins.Heart rhythm · 2026Article
- An eikonal model with re-excitability for fast simulations in cardiac electrophysiology.The Journal of physiology · 2026Article
- AI-enabled clinical trials.Nature reviews bioengineering · 2026Article
- Review
- Accounting for uncertainty in computational models of ventricular tachycardia improves ablation guidance.Nature cardiovascular research · 2026Article
- The Hodgkin-Huxley-Katz Prize Lecture: Heart digital twins: A new paradigm in arrhythmia medicine.The Journal of physiology · 2026Article
- A physics-informed eikonal model for simulating arrhythmias in the human heart in real-time.Nature communications · 2026Article
- Imaging-anchored multiomics in cardiovascular disease: integrating cardiac imaging, bulk, single-cell, and spatial transcriptomics.Briefings in bioinformatics · 2026Review
- Body surface potential driven personalisation of electrophysiological digital twins in hypertrophic cardiomyopathy.PLoS computational biology · 2026Article
- Accelerated Intrinsic Beating Rate in Heterogeneously Coupled Human Pluripotent Stem Cell-Derived Cardiomyocytes Can Underlie Focal Ventricular Tachycardia in Regenerative Therapy.Journal of precision medicine (Amsterdam, Netherlands) · 2026Article
- Genotype-specific digital twins for arrhythmia ablation targeting in arrhythmogenic right ventricular cardiomyopathy.Communications medicine · 2026Article
- Probabilistic Cardiac Digital Twins for Robust Patient-Specific Modeling.bioRxiv : the preprint server for biology · 2026Article
- T-World Virtual Human Cardiomyocyte. II. Organ-Scale Simulations and Applications.Circulation research · 2026Article
- The Role of Multimodality Imaging in Guiding Ventricular Tachycardia Ablation: An Updated Review.Reviews in cardiovascular medicine · 2026Review
- Digital twins and digital models of the human circulatory system.Nature reviews bioengineering · 2026Article
- Theoretical quantitative model and clinical outcome predictions of conductive cardiac patches for electrophysiological treatments.Nature biomedical engineering · 2026Article
- Feasibility of whole heart 3D shape reconstruction from sparse echocardiographic views using CT-derived simulations.Scientific reports · 2026Article
113 more citing papers are in PubMed but not listed here.
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Authors and funding
18 authors at 3 institutions in 2 countries.
Funding
Abstract
Ventricular tachycardia (VT), which can lead to sudden cardiac death, occurs frequently in patients with myocardial infarction. Catheter-based radiofrequency ablation of cardiac tissue has achieved only modest efficacy, owing to the inaccurate identification of ablation targets by current electrical mapping techniques, which can lead to extensive lesions and to a prolonged, poorly tolerated procedure. Here we show that personalized virtual-heart technology based on cardiac imaging and computational modelling can identify optimal infarct-related VT ablation targets in retrospective animal (5 swine) and human studies (21 patients) and in a prospective feasibility study (5 patients). We first assessed in retrospective studies (one of which included a proportion of clinical images with artifacts) the capability of the technology to determine the minimum-size ablation targets for eradicating all VTs. In the prospective study, VT sites predicted by the technology were targeted directly, without relying on prior electrical mapping. The approach could improve infarct-related VT ablation guidance, where accurate identification of patient-specific optimal targets could be achieved on a personalized virtual heart prior to the clinical procedure.
Identifiers
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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.