Comparison of hemodynamic and structural indices of ascending thoracic aortic aneurysm as predicted by 2-way FSI, CFD rigid wall simulation and patient-specific displacement-based FEA

Mendez, Vincent; Giuseppe, Marzio Di; Pasta, Salvatore

doi:10.1016/j.compbiomed.2018.07.013

Cited by 68 publications

(46 citation statements)

References 34 publications

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“…The wall deformation of the aorta under the action of the pulsatile blood flow has been pointed as crucial in computational models, due to the compliant properties of this structure (Azadani et al 2012). In fact, computational results obtained by FSI and computational fluid dynamics analysis may differ, as shown in (Mendez et al 2018), where distinct stress distributions and mean pressure values were emphasized. Therefore, it is important to have into account the deformation of the ascending aortic wall when modelling its hemodynamics.…”

Section: Fluid-structure Interaction Framework and Grid Settingsmentioning

confidence: 99%

“…Velocity streamlines in the ascending aorta [m/s] at peak systole (first row) and deceleration phase (second row). (Bonomi et al 2015;Cao et al 2017;Kimura et al 2017) and dilated aortas (Bonomi et al 2015;Pasta et al 2013;Mendez et al 2018;Kimura et al 2017), trying to identify the pathological disturbances that lead to aortic dilation and its progress in these patients. We modelled the interaction between blood and the aortic wall, but not between blood and the valve leaflets.…”

Section: Design Framework and Computational Modelmentioning

confidence: 99%

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Bicuspid aortic valve aortopathies: An hemodynamics characterization in dilated aortas

Oliveira

Rosa

Tiago

et al. 2019

Computer Methods in Biomechanics and Biomedical Engineering

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Bicuspid aortic valve (BAV) aortopathy remains of difficult clinical management due to its heterogeneity and further assessment of related aortic hemodynamics is necessary. The aim of this study was to assess systolic hemodynamic indexes and wall stresses in patients with diverse BAV phenotypes and dilated ascending aortas. The aortic geometry was reconstructed from patient-specific images while the aortic valve was generated based on patient-specific measurements. Physiologic material properties and boundary conditions were applied and fully coupled fluid-structure interaction (FSI) analysis were conducted. Our dilated aortic models were characterized by the presence of abnormal hemodynamics with elevated degrees of flow skewness and eccentricity, regardless of BAV morphotype. Retrograde flow was also present. Both features, predicted by flow angle and flow reversal ratios, were consistently higher than those reported for non-dilated aortas. Right-handed helical flow was present, as well as elevated wall shear stress (WSS) on the outer ascending aortic wall. Our results suggest that the abnormal flow associated with BAV may play a role in aortic enlargement and progress it further on already dilated aortas.

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Section: Fluid-structure Interaction Framework and Grid Settingsmentioning

confidence: 99%

Section: Design Framework and Computational Modelmentioning

confidence: 99%

Bicuspid aortic valve aortopathies: An hemodynamics characterization in dilated aortas

Oliveira

Rosa

Tiago

et al. 2019

Computer Methods in Biomechanics and Biomedical Engineering

View full text Add to dashboard Cite

show abstract

“…The flow rate in 3.5mm parent artery is 2.88ml/s with the constant inlet velocity of 0.3 m/s and the viscosity of the blood is taken as 0.004 Pa-s [24]. Wall is assumed to be rigid [25] and the no-slip condition is applied at the wall. Poiseuille velocity profile was applied at the inlet and zero pressure at the outlet.…”

Section: Methodsmentioning

confidence: 99%

Effect of dome size on flow dynamics in saccular aneurysms – A numerical study

Nayak

Kumar

Khader

et al. 2020

JMES

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Image-based Computational Fluid Dynamic (CFD) simulations of anatomical models of human arteries are gaining clinical relevance in present days. In this study, CFD is used to study flow behaviour and hemodynamic parameters in aneurysms, with a focus on the effect of geometric variations in the aneurysm models on the flow dynamics. A computational phantom was created using a 3D modelling software to mimic a spherical aneurysm. Hemodynamic parameters were obtained and compared with the available literature to validate. Further, flow dynamics is studied by varying the dome size of the aneurysm from 3.75 mm to 6.25 mm with an increment of 0.625 mm keeping the neck size constant. The aneurysm is assumed to be located at a bend in the arterial system. Computational analysis of the flow field is performed by using Navier – Stokes equation for laminar flow of incompressible, Newtonian fluid. Parameters such as velocity, pressure, wall shear stress (WSS), vortex structure are studied. It was observed that the location of the flow separation and WSS vary significantly with the geometry of the aneurysm. The reduction of WSS inside the aneurysm is higher at the larger dome sizes for constant neck size.

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“…For example, studies using rigid walls revealed that patients with bicuspid aortic valve (BAV) have complex blood flow patterns that cause higher and uneven wall shear stresses, increasing the potential for TAA formation (Youssefi et al, 2017;Condemi et al, 2018;Edlin et al, 2019). Mendez et al (2018) simulated blood flow in BAV TAAs using both rigid walls and FSI, finding non-significant differences in helical flow, but significantly lower estimated pressure in CFD simulations. In particular, they found the largest differences between rigid and deformable wall simulations occur during peak systole when wall deformation is greatest.…”

Section: Thoracic Aortic Aneurysmsmentioning

confidence: 99%

Computational Hemodynamic Modeling of Arterial Aneurysms: A Mini-Review

et al. 2020

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Arterial aneurysms are pathological dilations of blood vessels, which can be of clinical concern due to thrombosis, dissection, or rupture. Aneurysms can form throughout the arterial system, including intracranial, thoracic, abdominal, visceral, peripheral, or coronary arteries. Currently, aneurysm diameter and expansion rates are the most commonly used metrics to assess rupture risk. Surgical or endovascular interventions are clinical treatment options, but are invasive and associated with risk for the patient. For aneurysms in locations where thrombosis is the primary concern, diameter is also used to determine the level of therapeutic anticoagulation, a treatment that increases the possibility of internal bleeding. Since simple diameter is often insufficient to reliably determine rupture and thrombosis risk, computational hemodynamic simulations are being developed to help assess when an intervention is warranted. Created from subjectspecific data, computational models have the potential to be used to predict growth, dissection, rupture, and thrombus-formation risk based on hemodynamic parameters, including wall shear stress, oscillatory shear index, residence time, and anomalous blood flow patterns. Generally, endothelial damage and flow stagnation within aneurysms can lead to coagulation, inflammation, and the release of proteases, which alter extracellular matrix composition, increasing risk of rupture. In this review, we highlight recent work that investigates aneurysm geometry, model parameter assumptions, and other specific considerations that influence computational aneurysm simulations. By highlighting modeling validation and verification approaches, we hope to inspire future computational efforts aimed at improving our understanding of aneurysm pathology and treatment risk stratification.

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Comparison of hemodynamic and structural indices of ascending thoracic aortic aneurysm as predicted by 2-way FSI, CFD rigid wall simulation and patient-specific displacement-based FEA

Cited by 68 publications

References 34 publications

Bicuspid aortic valve aortopathies: An hemodynamics characterization in dilated aortas

Bicuspid aortic valve aortopathies: An hemodynamics characterization in dilated aortas

Effect of dome size on flow dynamics in saccular aneurysms – A numerical study

Computational Hemodynamic Modeling of Arterial Aneurysms: A Mini-Review

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