iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: http://pubmed.ncbi.nlm.nih.gov/37817867/
The age of computational cardiology and future of long-term ablation target prediction for ventricular tachycardia - PubMed Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Sep 14:10:1233991.
doi: 10.3389/fcvm.2023.1233991. eCollection 2023.

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

Arsalan Moinuddin #  1 , Syed Yusuf Ali #  2 , Ashish Goel  3 , Yashendra Sethi  3   4 , Neil Patel  4   5 , Nirja Kaka  4   5 , Prakasini Satapathy  6   7 , Ranjit Sah  8   9   10 , Joshuan J Barboza  11 , Mohammed K Suhail  12
Affiliations

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

Arsalan Moinuddin et al. Front Cardiovasc Med. .

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.

Keywords: catheter ablation; computational cardiology; metabolic sink theory; precision medicine; ventricular tachycardia.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Cellular mechanisms (ion channels and electrolyte exchange) underlying “metabolic sink theory” of re-entry phenomenon of VT. ATP, adenosine triphosphate.
Figure 2
Figure 2
The pipeline for image-based reconstruction of heart geometry and structure to generate patient specific ablation strategy to prevent long term VT and SCD risk (3, 7).
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

References

    1. CDC. National center for health statistics & centers for disease control and prevention (2022). Available at: https://www.cdc.gov/heartdisease/facts.htm
    1. Jameson JL, Fauci AS, Kasper DL, Hauser SL, Longo DL, Loscalzo J. Harrison’s principles of internal medicine. 20th ed. New York, NY: McGraw-Hill Education; (2018).
    1. Trayanova NA, Pashakhanloo F, Wu KC, Halperin HR. Imaging-based simulations for predicting sudden death and guiding ventricular tachycardia ablation. Circ Arrhythm Electrophysiol. (2017) 10(7):e004743. 10.1161/CIRCEP.117.004743 - DOI - PMC - PubMed
    1. Niederer SA, Lumens J, Trayanova NA. Computational models in cardiology. Nat Rev Cardiol. (2019) 16:100–11. 10.1038/s41569-018-0104-y - DOI - PMC - PubMed
    1. Huikuri HV, Castellanos A, Myerburg RJ. Sudden death due to cardiac arrhythmias. N Engl J Med. (2001) 345:1473–82. 10.1056/NEJMra000650 - DOI - PubMed

Grants and funding

Escuela de Medicina, Universidad César Vallejo, Trujillo 13007, Peru.

LinkOut - more resources