Moinuddin, Arsalan ORCID: 0000-0002-4242-1714, Ali, Syed Yusuf, Goel, Ashish, Sethi, Yashendra, Patel, Neil, Kaka, Nirja, Satapathy, Prakasini, Sah, Ranjit, Barboza, Joshuan J. and Suhail, Mohammed K. (2023) The age of computational cardiology and future of long-term ablation target prediction for ventricular tachycardia. Frontiers in Cardiovascular Medicine, 10. Art 1233991. doi:10.3389/fcvm.2023.1233991
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13324 Moinuddin et al (2023) The age of computational cardiology and future of long-term ablation target prediction.pdf - Published Version Available under License Creative Commons Attribution 4.0. Download (8MB) | Preview |
Abstract
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.
Item Type: | Article |
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Article Type: | Article |
Uncontrolled Keywords: | Ventricular tachycardia; Catheter ablation; Computational cardiology; Metabolic sink theory; Precision medicine |
Subjects: | R Medicine > R Medicine (General) |
Divisions: | Schools and Research Institutes > School of Health and Social Care |
Depositing User: | Susan Turner |
Date Deposited: | 18 Oct 2023 11:49 |
Last Modified: | 15 Nov 2023 13:33 |
URI: | https://eprints.glos.ac.uk/id/eprint/13324 |
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