The age of computational cardiology and future of long-term ablation target prediction for ventricular tachycardia

Arsalan Moinuddin*, Syed Yusuf Ali, Ashish Goel, Yashendra Sethi*, Neil Patel, Nirja Kaka, Prakasini Satapathy, Ranjit Sah, Joshuan J. Barboza*, Mohammed K. Suhail

*Autor correspondiente de este trabajo

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

Resumen

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.

Idioma originalInglés
Número de artículo1233991
PublicaciónFrontiers in Cardiovascular Medicine
Volumen10
DOI
EstadoPublicada - 2023
Publicado de forma externa

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