Computational fluid dynamics modelling in cardiovascular medicine.

Morris, Paul D; Narracott, Andrew; Von Tengg-Kobligk, Hendrik; Silva Soto, Daniel Alejandro; Hsiao, Sarah; Lungu, Angela; Evans, Paul; Bressloff, Neil W; Lawford, Patricia V; Hose, D Rodney; Gunn, Julian P (2016). Computational fluid dynamics modelling in cardiovascular medicine. Heart (British Cardiac Society), 102(1), pp. 18-28. BMJ Publishing Group 10.1136/heartjnl-2015-308044

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This paper reviews the methods, benefits and challenges associated with the adoption and translation of computational fluid dynamics (CFD) modelling within cardiovascular medicine. CFD, a specialist area of mathematics and a branch of fluid mechanics, is used routinely in a diverse range of safety-critical engineering systems, which increasingly is being applied to the cardiovascular system. By facilitating rapid, economical, low-risk prototyping, CFD modelling has already revolutionised research and development of devices such as stents, valve prostheses, and ventricular assist devices. Combined with cardiovascular imaging, CFD simulation enables detailed characterisation of complex physiological pressure and flow fields and the computation of metrics which cannot be directly measured, for example, wall shear stress. CFD models are now being translated into clinical tools for physicians to use across the spectrum of coronary, valvular, congenital, myocardial and peripheral vascular diseases. CFD modelling is apposite for minimally-invasive patient assessment. Patient-specific (incorporating data unique to the individual) and multi-scale (combining models of different length- and time-scales) modelling enables individualised risk prediction and virtual treatment planning. This represents a significant departure from traditional dependence upon registry-based, population-averaged data. Model integration is progressively moving towards 'digital patient' or 'virtual physiological human' representations. When combined with population-scale numerical models, these models have the potential to reduce the cost, time and risk associated with clinical trials. The adoption of CFD modelling signals a new era in cardiovascular medicine. While potentially highly beneficial, a number of academic and commercial groups are addressing the associated methodological, regulatory, education- and service-related challenges.

Item Type:

Journal Article (Review Article)

Division/Institute:

04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology

UniBE Contributor:

Von Tengg-Kobligk, Hendrik

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1468-201X

Publisher:

BMJ Publishing Group

Language:

English

Submitter:

Aisha Stefania Mzinga

Date Deposited:

05 Apr 2016 13:08

Last Modified:

07 Apr 2016 23:11

Publisher DOI:

10.1136/heartjnl-2015-308044

PubMed ID:

26512019

BORIS DOI:

10.7892/boris.77149

URI:

https://boris.unibe.ch/id/eprint/77149

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