Aneurysmal growth in type-B aortic dissection: assessing the impact of patient-specific inlet conditions on key haemodynamic indices.

Stokes, C; Ahmed, D; Lind, N; Haupt, F; Becker, D; Hamilton, J; Muthurangu, V; von Tengg-Kobligk, H; Papadakis, G; Balabani, S; Díaz-Zuccarini, V (2023). Aneurysmal growth in type-B aortic dissection: assessing the impact of patient-specific inlet conditions on key haemodynamic indices. Journal of the Royal Society Interface, 20(206), p. 20230281. The Royal Society 10.1098/rsif.2023.0281

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Type-B aortic dissection is a cardiovascular disease in which a tear develops in the intimal layer of the descending aorta, allowing pressurized blood to delaminate the layers of the vessel wall. In medically managed patients, long-term aneurysmal dilatation of the false lumen (FL) is considered virtually inevitable and is associated with poorer disease outcomes. While the pathophysiological mechanisms driving FL dilatation are not yet understood, haemodynamic factors are believed to play a key role. Computational fluid dynamics (CFD) and 4D-flow MRI (4DMR) analyses have revealed correlations between flow helicity, oscillatory wall shear stress and aneurysmal dilatation of the FL. In this study, we compare CFD simulations using a patient-specific, three-dimensional, three-component inlet velocity profile (4D IVP) extracted from 4DMR data against simulations with flow rate-matched uniform and axial velocity profiles that remain widely used in the absence of 4DMR. We also evaluate the influence of measurement errors in 4DMR data by scaling the 4D IVP to the degree of imaging error detected in prior studies. We observe that oscillatory shear and helicity are highly sensitive to inlet velocity distribution and flow volume throughout the FL and conclude that the choice of IVP may greatly affect the future clinical value of simulations.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology
04 Faculty of Medicine > Department of Cardiovascular Disorders (DHGE) > Clinic of Heart Surgery

UniBE Contributor:

Haupt, Fabian, Becker, Daniel, von Tengg-Kobligk, Hendrik

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1742-5662

Publisher:

The Royal Society

Language:

English

Submitter:

Pubmed Import

Date Deposited:

25 Sep 2023 12:59

Last Modified:

27 Feb 2024 14:27

Publisher DOI:

10.1098/rsif.2023.0281

PubMed ID:

37727072

Uncontrolled Keywords:

4D-flow MRI aortic dissection aortic haemodynamics computational fluid dynamics inlet conditions

BORIS DOI:

10.48350/186424

URI:

https://boris.unibe.ch/id/eprint/186424

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