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

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

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