Key result
Computational cardiology models integrating metabolic sink theory, growth laws, and partial differential equations offer a promising framework for predicting long-term ablation targets in ventricular tachycardia.
Why the study?
Current cardiac ablation procedures predict only short-term treatment responses due to continuous post-arrhythmia cardiac remodeling.
This perspective outlines a computational cardiology framework integrating metabolic sink theory, growth laws, and partial differential equations to predict long-term ablation targets for ventricular tachycardia.
May guide long-term VT prediction model development; hypothesis-generating and requires prospective validation before clinical use.
Ventricular arrhythmias, particularly ventricular tachycardia, are ubiquitously linked to 300,000 deaths annually. However, the current interventional procedure-the cardiac ablation-predict only short-term responses to treatment as the heart constantly remodels itself post-arrhythmia. To assist in the design of computational methods which focuses on long-term arrhythmia prediction, this review postulates three interdependent prospectives. The main objective is to propose computational methods for predicting long-term heart response to interventions in ventricular tachycardia Following a general discussion on the importance of devising simulations predicting long-term heart response to interventions, each of the following is discussed: (i) application of "metabolic sink theory" to elucidate the "re-entry" mechanism of ventricular tachycardia; (ii) application of "growth laws" to explain "mechanical load" translation in ventricular tachycardia; (iii) derivation of partial differential equations (PDE) to establish a pipeline to predict long-term clinical outcomes in ventricular tachycardia.
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Moinuddin et al. (2023) conducted a review in Ventricular tachycardia. Computational cardiology methods was evaluated. Computational cardiology models integrating metabolic sink theory, growth laws, and partial differential equations offer a promising framework for predicting long-term ablation targets in ventricular tachycardia.
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