Why the study?
High density electroanatomical mapping is limited by its two-dimensional nature and complexity, while imaging provides anatomical characterization without functional information.
Does the CardioMat digital twin model accurately predict functional substrate localization compared to high-density EAM in patients undergoing VT ablation?
Comparison
CardioMat-derived DZs vs EAM-derived DZs and CMR-based HTCs and scar areas
Design
Retrospective validation study
Key result
The CardioMat digital twin model accurately predicted electroanatomical mapping-derived deceleration zones (OR 17.4; 95% CI 6.9-43.8; p>0.001), outperforming conventional CMR-based assessment.
Authors
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Supports noninvasive VT substrate mapping; hypothesis-generating and requires prospective validation before clinical adoption.
Observational (n=15)
Does the CardioMat digital twin model accurately predict functional substrate localization compared to high-density EAM in patients undergoing VT ablation?
Effect estimate: OR 17.4 (95% CI 6.9-43.8)
p-value: p=> 0.001
The CardioMat digital twin model accurately predicts functional substrate localization in scar-related VT, outperforming conventional CMR-based assessment and offering a potential noninvasive alternative to high-density EAM.
Parollo et al. (2025) conducted an observational in Scar-related ventricular tachycardia (n=15). CardioMat digital twin model vs. CMR scar and heterogeneous tissue channels (HTCs) was evaluated on Prediction of EAM-DZ localization (OR 17.4, 95% CI 6.9-43.8, p=> 0.001). The CardioMat digital twin model accurately predicted electroanatomical mapping-derived deceleration zones (OR 17.4; 95% CI 6.9-43.8; p>0.001), outperforming conventional CMR-based assessment.
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