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November 18, 2025Journal of Cardiovascular Electrophysiology

Validation of a Digital Twin Model for Three‐Dimensional Noninvasive Functional Substrate Prediction in Scar Related Ventricular Tachycardia

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Authors

MPMatteo ParolloNBNiccolo BiasiMTMarco Torre

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Overview

Evaluation reveals digital twin model shows high diagnostic accuracy in noninvasive prediction of substrate in ventricular tachycardia, suggesting improved guidance for ablation.

Key Points

  • To validate a digital twin model for predicting functional substrate in scar-related ventricular tachycardia.
  • Retrospective analysis of 15 patients with ischemic or nonischemic cardiomyopathy undergoing VT ablation.
  • Comparison of CardioMat-identified deceleration zones with high density electroanatomical mapping and cardiac magnetic resonance imaging post-processing.
  • Integration of CardioMat three-dimensional activation maps into CARTO EAM suite.
  • CardioMat demonstrated 79% sensitivity and 93% specificity for predicting localization of deceleration zones.
  • Outperformed CMR-based assessment for tissue characterization.
  • CardioMat DZs confirmed as the strongest predictor of EAM-DZ localization with an OR of 17.4.

Cite This Study

Parollo et al. (2025) studied this question.

synapsesocial.com/papers/6924fef9c0ce034ddc351efehttps://doi.org/10.1111/jce.70184
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Validation of a Digital Twin Model for Three‐Dimensional Noninvasive Functional Substrate Prediction in Scar Related Ventricular Tachycardia2025 · 3 citations
  2. 2Clinical validation of a novel digital twin framework for ventricular functional substrate simulation in post-infarction patients2024
  3. 3Heart Digital Twins Predict Features of Invasive Reentrant Circuits and Ablation Lesions in Scar-Dependent Ventricular Tachycardia2025 · 13 citations
  4. 4Photon-counting CT characterization of arrhythmogenic substrate in VT ablation2026
  5. 5Functional substrate versus anatomical ablation approaches in structural ventricular tachycardia, in-silico comparison with a novel digital twin framework2026