scholarly journals Prediction of rupture risk in cerebral aneurysms by comparing clinical cases with fluid–structure interaction analyses

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Kwang-Chun Cho ◽  
Hyeondong Yang ◽  
Jung-Jae Kim ◽  
Je Hoon Oh ◽  
Yong Bae Kim
Keyword(s):  
Fluid Structure Interaction ◽  
Cerebral Aneurysms ◽  
Specific Model ◽  
Critical Curve ◽  
Patient Specific ◽  
Rupture Risk ◽  
Fluid Structure ◽  
Unruptured Aneurysms ◽  
Structure Interaction ◽  
Ruptured Aneurysms

Abstract Cerebral aneurysms should be treated on the basis of accurate rupture risk prediction. Nowadays, the rupture risk in aneurysms has been estimated using hemodynamic parameters. In this paper, we suggest a new way to predict the rupture risks in cerebral aneurysms by using fluid–structure interaction (FSI) analysis for better decision-making regarding treatment. A patient-specific model was constructed using digital subtraction angiography of 51 cerebral aneurysms. For each model, a thin-walled area (TWA) was first predicted using computational fluid dynamics (CFD), and then the highest equivalent strain in the TWA was calculated with FSI by varying wall thicknesses and mechanical properties. A critical curve was made from 16 FSI results for each patient-specific model to estimate the rupture risk. On average, the equivalent strains of the ruptured aneurysms were higher than those of the unruptured aneurysms. Furthermore, the patterns of critical curves between unruptured and ruptured aneurysms were clearly distinguishable. From the rupture risk evaluation based on the cut-off value, 24 of the 27 unruptured aneurysms and 15 of the 24 ruptured aneurysms were matched with actual-clinical setting cases. The critical curve proposed in the present study could be an effective tool for the prediction of the rupture risk of aneurysm.

Patient-specific arterial fluid-structure interaction modeling of cerebral aneurysms

2010 ◽  
Vol 65 (1-3) ◽  
pp. 308-323 ◽  
Author(s):  
Kenji Takizawa ◽  
Creighton Moorman ◽  
Samuel Wright ◽  
John Purdue ◽  
Travis McPhail ◽  
...  
Keyword(s):  
Fluid Structure Interaction ◽  
Cerebral Aneurysms ◽  
Patient Specific ◽  
Fluid Structure ◽  
Structure Interaction ◽  
Interaction Modeling

A Comparative Study Based on Patient-Specific Fluid-Structure Interaction Modeling of Cerebral Aneurysms

2011 ◽  
Vol 79 (1) ◽  
Author(s):  
Kenji Takizawa ◽  
Tyler Brummer ◽  
Tayfun E. Tezduyar ◽  
Peng R. Chen
Keyword(s):  
Comparative Study ◽  
Arterial Wall ◽  
Fluid Structure Interaction ◽  
Cerebral Aneurysms ◽  
Flow Simulation ◽  
Wall Stress ◽  
Patient Specific ◽  
Fluid Structure ◽  
Structure Interaction ◽  
Interaction Modeling

We present an extensive comparative study based on patient-specific fluid-structure interaction (FSI) modeling of cerebral aneurysms. We consider a total of ten cases, at three different locations, half of which ruptured. We use the stabilized space-time FSI technique developed by the Team for Advanced Flow Simulation and Modeling (T⋆AFSM), together with a number of special techniques targeting arterial FSI modeling, which were also developed by the T⋆AFSM. What we look at in our comparisons includes the wall shear stress, oscillatory shear index and the arterial-wall stress and stretch. We also investigate how simpler approaches to computer modeling of cerebral aneurysms perform compared to FSI modeling.

A Fluid Structure Interaction Approach for Patient Based Abdominal Aortic Aneurysm Rupture Risk Prediction

2010 ◽  
Author(s):  
Michalis Xenos ◽  
Suraj Rambhia ◽  
Yared Alemu ◽  
Shmuel Einav ◽  
John J. Ricotta ◽  
...  
Keyword(s):  
Abdominal Aortic Aneurysm ◽  
Aortic Aneurysm ◽  
Fluid Structure Interaction ◽  
Patient Specific ◽  
Rupture Risk ◽  
Material Models ◽  
Fluid Structure ◽  
Structure Interaction ◽  
Abdominal Aortic ◽  
Risk Of Rupture

Fluid structure interaction (FSI) simulations of patient-specific fusiform non-ruptured and contained ruptured Abdominal Aortic Aneurysm (AAA) geometries were conducted. The goals were: (1) to test the ability of our FSI methodology to predict the location of rupture, by correlating the high wall stress regions with the rupture location, (2) estimate the state of the pathological condition by calculating the ruptured potential index (RPI) of the AAA and (3) predict the disease progression by comparing healthy and pathological aortas. The patient specific AAA FSI simulations were carried out with advanced constitutive material models of the various components of AAA, including models that describe wall anisotropy based on collagen fibers orientation within the arterial wall, structural strength of the aorta, intraluminal thrombus (ILT), and embedded calcifications. The anisotropic material model used to describe the wall properties closely correlated with experimental results of AAA specimens. The results demonstrate that the anisotropic wall simulations showed higher peak wall stresses as compared to isotropic material models, indicating that the latter may underestimate the AAA risk of rupture. The ILT appeared to provide a cushioning effect reducing the stresses, while small calcifications (small-Ca) appeared to weaken the wall and contribute to the rupture risk. FSI simulations with ruptured AAA demonstrated that the location of the maximal wall stresses and RPI overlap the actual rupture region.

scholarly journals Ultrasound-Based Fluid-Structure Interaction Modeling of Abdominal Aortic Aneurysms Incorporating Pre-stress

2021 ◽  
Vol 12 ◽  
Author(s):  
Judith H. C. Fonken ◽  
Esther J. Maas ◽  
Arjet H. M. Nievergeld ◽  
Marc R. H. M. van Sambeek ◽  
Frans N. van de Vosse ◽  
...  
Keyword(s):  
Fluid Structure Interaction ◽  
Abdominal Aortic Aneurysms ◽  
Aortic Aneurysms ◽  
Maximum Diameter ◽  
Patient Specific ◽  
Risk Indicator ◽  
Rupture Risk ◽  
Fluid Structure ◽  
Structure Interaction ◽  
Abdominal Aortic

Currently, the prediction of rupture risk in abdominal aortic aneurysms (AAAs) solely relies on maximum diameter. However, wall mechanics and hemodynamics have shown to provide better risk indicators. Patient-specific fluid-structure interaction (FSI) simulations based on a non-invasive image modality are required to establish a patient-specific risk indicator. In this study, a robust framework to execute FSI simulations based on time-resolved three-dimensional ultrasound (3D+t US) data was obtained and employed on a data set of 30 AAA patients. Furthermore, the effect of including a pre-stress estimation (PSE) to obtain the stresses present in the measured geometry was evaluated. The established workflow uses the patient-specific 3D+t US-based segmentation and brachial blood pressure as input to generate meshes and boundary conditions for the FSI simulations. The 3D+t US-based FSI framework was successfully employed on an extensive set of AAA patient data. Omitting the pre-stress results in increased displacements, decreased wall stresses, and deviating time-averaged wall shear stress and oscillatory shear index patterns. These results underline the importance of incorporating pre-stress in FSI simulations. After validation, the presented framework provides an important tool for personalized modeling and longitudinal studies on AAA growth and rupture risk.

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