Prediction of thrombus formation using vortical structures presentation in Stanford type B aortic dissection: A preliminary study using CFD approach

Naim, Wan Naimah Wan Ab; Ganesan, P.; Sun, Zhonghua; Liew, Yih Miin; Qian, Yi; Lee, Chang Joon; Jansen, Shirley; Hashim, Shahrul Amry; Lim, Einly

doi:10.1016/j.apm.2015.09.096

Cited by 43 publications

(30 citation statements)

References 32 publications

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“…Consistent with previous CFD studies on aortic dissection [14], a distinct flow jet can be seen at the entry tear and 1 st re-entry tear, as also shown in figure 3. A few recirculation zones (white arrows) are observed around the tears in the false lumen of descending aorta, which is in agreement with published aortic dissection simulations [1]. In the true lumen, a small recirculation region (yellow arrow) is observed after the luminal narrowing in the aortic arch at the site of the distal anastomosis of the aortic graft.…”

Section: Numerical Simulations and Postprocessingsupporting

confidence: 90%

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Three-dimensional CFD Simulation of Blood Flow in Aortic Dissection

Wang¹,

Guo²,

Poon³

et al. 2020

Australasian Fluid Mechanics Conference (AFMC)

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Aortic dissection is a serious cardiovascular condition where tears in the aortic wall lead to blood flow in between arterial tissue layers, separating the tissue and forming a false lumen. Knowledge of the blood flow dynamics for patients with aortic dissection can inform the treatment of aortic dissection. This paper aims to present haemodynamic metrics found in aortic dissection. In this study, individual patient-specific geometry and pulsatile flow velocity data is extracted from computed tomography (CT) angiography and four-dimensional flow magnetic resonance imaging (4D flow MRI) respectively, with MRI data introduced as boundary conditions for computational fluid dynamics (CFD) simulation. Numerical simulation data shows the presence of vortical flow structures proximal to the entry tear of the false lumen. Regions of high time-averaged wall shear stress are detected and they correlate to tears in the aortic wall. The study provides quantitative indexes for optimal treatment planning.

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Section: Numerical Simulations and Postprocessingsupporting

confidence: 90%

“…In recent years, an increasing number of studies with patient-specific anatomy based on clinical imaging has been performed, providing higher geometric accuracy. However, simple boundary conditions or boundary conditions from healthy aorta have mostly been used in these studies due to limited patient-specific haemodynamic data [1,16].…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional CFD Simulation of Blood Flow in Aortic Dissection

Wang¹,

Guo²,

Poon³

et al. 2020

Australasian Fluid Mechanics Conference (AFMC)

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“…Of these, 37 were excluded for not meeting the inclusion criteria. Of 17 eligible studies, 3 studies were further excluded due to repetitive reports by the same research group, and only the most recent studies from each group were used, leading to 14 studies included in the analysis [3][4][5][6][7][8][9][10][11][12][13][14][15][16]. Table 1 shows characteristics of these eligible studies.…”

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confidence: 99%

A systematic review of computational fluid dynamics in type B aortic dissection

Sun

Chaichana

2016

International Journal of Cardiology

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“…Notably, the hemodynamic analyses in this study were established based on the assumption of Newtonian flow. Due to the high shear rates and low particle effect in aortic flow, the Newtonian model is widely applied in CFD studies that aim to reveal the flow patterns of aortic dissection 32 - 34 , while studies focusing on thrombosis formation employ non-Newtonian model 35 , 36 . Previous studies comparing these two models confirmed the general similarity of the basic flow characteristics between them, while a slightly lower peak WSS was found near the vessel wall in the non-Newtonian flow model 37 .…”

Section: Discussionmentioning

confidence: 99%

Virtual stenting with simplex mesh and mechanical contact analysis for real-time planning of thoracic endovascular aortic repair

Chen¹,

Ji²,

Deng³

et al. 2018

Theranostics

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In aortic endovascular repair, the prediction of stented vessel remodeling informs treatment plans and risk evaluation; however, there are no highly accurate and efficient methods to quantitatively simulate stented vessels. This study developed a fast virtual stenting algorithm to simulate stent-induced aortic remodeling to assist in real-time thoracic endovascular aortic repair planning.Methods: The virtual stenting algorithm was established based on simplex deformable mesh and mechanical contact analysis. The key parameters of the mechanical contact analysis were derived from mechanical tests on aortic tissue (n=40) and commonly used stent-grafts (n=6). Genetic algorithm was applied to select weighting parameters. Testing and validation of the algorithm were performed using pre- and post-treatment computed tomography angiography datasets of type-B aortic dissection cases (n=66).Results: The algorithm was efficient in simulating stent-induced aortic deformation (mean computing time on a single processor: 13.78±2.80s) and accurate at the morphological (curvature difference: 1.57±0.57%; cross-sectional area difference: 4.11±0.85%) and hemodynamic (similarity of wall shear stress-derived parameters: 90.16-90.94%) levels. Stent-induced wall deformation was higher (p<0.05) in distal stent-induced new entry cases than in successfully treated cases, and this deformation did not differ significantly among the different stent groups. Additionally, the high stent-induced wall deformation regions and the new-entry sites overlapped, indicating the usefulness of wall deformation to evaluate the risks of device-induced complications.Conclusion: The novel algorithm provided fast real-time and accurate predictions of stent-graft deployment with luminal deformation tracking, thereby potentially informing individualized stenting planning and improving endovascular aortic repair outcomes. Large, multicenter studies are warranted to extend the algorithm validation and determine stress-induced wall deformation cutoff values for the risk stratification of particular complications.

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Prediction of thrombus formation using vortical structures presentation in Stanford type B aortic dissection: A preliminary study using CFD approach

Cited by 43 publications

References 32 publications

Three-dimensional CFD Simulation of Blood Flow in Aortic Dissection

Three-dimensional CFD Simulation of Blood Flow in Aortic Dissection

A systematic review of computational fluid dynamics in type B aortic dissection

Virtual stenting with simplex mesh and mechanical contact analysis for real-time planning of thoracic endovascular aortic repair

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