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Aneurysmal Growth in Type-B Aortic Dissection: Assessing the Impact of Patient-specific Inlet Conditions on Key Haemodynamic Indices

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Abstract

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.

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References
1.
Xu H, Baroli D, Veneziani A . Global Sensitivity Analysis for Patient-Specific Aortic Simulations: The Role of Geometry, Boundary Condition and Large Eddy Simulation Modeling Parameters. J Biomech Eng. 2020; 143(2). DOI: 10.1115/1.4048336. View

2.
Squizzato F, Hyun M, Sen I, DOria M, Bower T, Oderich G . Predictors of Long-Term Aortic Growth and Disease Progression in Patients with Aortic Dissection, Intramural Hematoma, and Penetrating Aortic Ulcer. Ann Vasc Surg. 2021; 81:22-35. PMC: 9573775. DOI: 10.1016/j.avsg.2021.10.047. View

3.
Stokes C, Haupt F, Becker D, Muthurangu V, von Tengg-Kobligk H, Balabani S . The Influence of Minor Aortic Branches in Patient-Specific Flow Simulations of Type-B Aortic Dissection. Ann Biomed Eng. 2023; 51(7):1627-1644. PMC: 10264290. DOI: 10.1007/s10439-023-03175-4. View

4.
Berezowski M, Scheumann J, Beyersdorf F, Jasinski M, Plonek T, Siepe M . Early aortic growth in acute descending aortic dissection. Interact Cardiovasc Thorac Surg. 2022; 34(5):857-864. PMC: 9070521. DOI: 10.1093/icvts/ivab351. View

5.
Armour C, Guo B, Pirola S, Saitta S, Liu Y, Dong Z . The influence of inlet velocity profile on predicted flow in type B aortic dissection. Biomech Model Mechanobiol. 2020; 20(2):481-490. PMC: 7979630. DOI: 10.1007/s10237-020-01395-4. View