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      The biomechanical effects of different membrane layer structures and material constitutive modeling on patient-specific cerebral aneurysms

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          Abstract

          The prevention, control and treatment of cerebral aneurysm (CA) has become a common concern of human society, and by simulating the biomechanical environment of CA using finite element analysis (FEA), the risk of aneurysm rupture can be predicted and evaluated. The target models of the current study are mainly idealized single-layer linear elastic cerebral aneurysm models, which do not take into account the effects of the vessel wall structure, material constitution, and structure of the real CA model on the mechanical parameters. This study proposes a reconstruction method for patient-specific trilaminar CA structural modeling. Using two-way fluid-structure interaction (FSI), we comparatively analyzed the effects of the differences between linear and hyperelastic materials and three-layer and single-layer membrane structures on various hemodynamic parameters of the CA model. It was found that the numerical effects of the different CA membrane structures and material constitution on the stresses and wall deformations were obvious, but does not affect the change in its distribution pattern and had little effect on the blood flow patterns. For the same material constitution, the stress of the three-layer membrane structure were more than 10.1% larger than that of the single-layer membrane structure. For the same membrane structure, the stress of the hyperelastic material were more than 5.4% larger than that of the linear elastic material, and the displacement of the hyperelastic material is smaller than that of the linear elastic material by about 20%. And the maximum value of stress occurred in the media, and the maximum displacement occurred in the intima. In addition, the upper region of the tumor is the maximum rupture risk region for CA, and the neck of the tumor and the bifurcation of the artery are also the sub-rupture risk regions to focus on. This study can provide data support for the selection of model materials for CA simulation and analysis, as well as a theoretical basis for clinical studies and subsequent research methods.

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          Saccular intracranial aneurysm: pathology and mechanisms.

          Juha Hernesniemi, Anders Paetau, Juhana Frösen … (2012)
          Saccular intracranial aneurysms (sIA) are pouch-like pathological dilatations of intracranial arteries that develop when the cerebral artery wall becomes too weak to resist hemodynamic pressure and distends. Some sIAs remain stable over time, but in others mural cells die, the matrix degenerates, and eventually the wall ruptures, causing life-threatening hemorrhage. The wall of unruptured sIAs is characterized by myointimal hyperplasia and organizing thrombus, whereas that of ruptured sIAs is characterized by a decellularized, degenerated matrix and a poorly organized luminal thrombus. Cell-mediated and humoral inflammatory reaction is seen in both, but inflammation is clearly associated with degenerated and ruptured walls. Inflammation, however, seems to be a reaction to the ongoing degenerative processes, rather than the cause. Current data suggest that the loss of mural cells and wall degeneration are related to impaired endothelial function and high oxidative stress, caused in part by luminal thrombosis. The aberrant flow conditions caused by sIA geometry are the likely cause of the endothelial dysfunction, which results in accumulation of cytotoxic and pro-inflammatory substances into the sIA wall, as well as thrombus formation. This may start the processes that eventually can lead to the decellularized and degenerated sIA wall that is prone to rupture.
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            Hemodynamic-morphologic discriminants for intracranial aneurysm rupture.

            Donald L. Hopkins, Elad Levy, J Mocco … (2010)
            the purpose of this study was to identify significant morphological and hemodynamic parameters that discriminate intracranial aneurysm rupture status using 3-dimensional angiography and computational fluid dynamics. one hundred nineteen intracranial aneurysms (38 ruptured, 81 unruptured) were analyzed from 3-dimensional angiographic images and computational fluid dynamics. Six morphological and 7 hemodynamic parameters were evaluated for significance with respect to rupture. Receiver operating characteristic analysis identified area under the curve (AUC) and optimal thresholds separating ruptured from unruptured aneurysms for each parameter. Significant parameters were examined by multivariate logistic regression analysis in 3 predictive models-morphology only, hemodynamics only, and combined-to identify independent discriminants, and the AUC receiver operating characteristic of the predicted probability of rupture status was compared among these models. morphological parameters (size ratio, undulation index, ellipticity index, and nonsphericity index) and hemodynamic parameters (average wall shear stress [WSS], maximum intra-aneurysmal WSS, low WSS area, average oscillatory shear index, number of vortices, and relative resident time) achieved statistical significance (P<0.01). Multivariate logistic regression analysis demonstrated size ratio to be the only independently significant factor in the morphology model (AUC, 0.83; 95% CI, 0.75 to 0.91), whereas WSS and oscillatory shear index were the only independently significant variables in the hemodynamics model (AUC, 0.85; 95% CI, 0.78 to 0.93). The combined model retained all 3 variables, size ratio, WSS, and oscillatory shear index (AUC, 0.89; 95% CI, 0.82 to 0.96). all 3 models-morphological (based on size ratio), hemodynamic (based on WSS and oscillatory shear index), and combined-discriminate intracranial aneurysm rupture status with high AUC values. Hemodynamics is as important as morphology in discriminating aneurysm rupture status.
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              Quantitative characterization of the hemodynamic environment in ruptured and unruptured brain aneurysms.

              J Cebral, F Mut, J. Weir … (2011)
              Hemodynamics are thought to play an important role in the mechanisms of aneurysm pathogenesis, progression, and rupture. The purpose of this study was to define quantitative measures related to qualitative flow characteristics previously analyzed and to investigate their relationship to aneurysm rupture. The hemodynamic environments in 210 cerebral aneurysms were analyzed by using image-based CFD under different flow conditions. Quantitative hemodynamic variables were defined and extracted from the simulation results. A statistical analysis of the relationship to the previous history of aneurysm rupture was performed, and the variability with flow conditions was assessed. Ruptured aneurysms were more likely to have larger inflow concentrations, larger MWSS, larger shear concentrations, and lower viscous dissipation ratios than unruptured aneurysms. Areas under low WSS and measures of abnormally low shear force distributions of ruptured and unruptured aneurysms were not statistically different. Although the values of hemodynamic quantities changed with different flow conditions, the statistical differences or ratios between their mean values over the ruptured and unruptured groups were maintained, for both pulsatile and steady flows. Concentrated inflow streams and WSS distributions with elevated levels of MWSS and low aneurysmal viscous dissipation are statistically associated with a clinical history of prior aneurysm rupture. In contrast, the area and total viscous shear force applied in the aneurysm region subjected to abnormally low WSS levels are not. This study highlights the potential for image-based CFD for investigating aneurysm-evolution mechanisms and for clinical assessment of aneurysm risks.
              Article 0 comments Cited 109 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Xuanze Fan: Role: Role: Role: Role: Role: Role: Role:
                Aohua Zhang: Role: Role:
                Qingli Zheng: Role:
                Pengcui Li: Role: Role: Role:
                Yanqin Wang: Role:
                Liming He: Role: Role:
                Yanru Xue: Role:
                Weiyi Chen: Role: Role:
                Xiaogang Wu: URI : https://loop.frontiersin.org/people/1699017/overviewRole: Role: Role: Role: Role: Role:
                Yongwang Zhao: Role: Role:
                Yonghong Wang: URI : https://loop.frontiersin.org/people/2550983/overviewRole: Role:
                Journal
                Journal ID (nlm-ta): Front Bioeng Biotechnol
                Journal ID (iso-abbrev): Front Bioeng Biotechnol
                Journal ID (publisher-id): Front. Bioeng. Biotechnol.
                Title: Frontiers in Bioengineering and Biotechnology
                Publisher: Frontiers Media S.A.
                ISSN (Electronic): 2296-4185
                Publication date (Electronic): 15 January 2024
                Publication date Collection: 2023
                Volume: 11
                Electronic Location Identifier: 1323266
                Affiliations
                [1] 1 College of Biomedical Engineering , Taiyuan University of Technology , Taiyuan, China
                [2] 2 Shanxi Provincial Key Laboratory for Repair of Bone and Soft Tissue Injury , Taiyuan, China
                [3] 3 Shanxi Bethune Hospital , Shanxi Academy of Medical Sciences , Tongji Shanxi Hospital , Third Hospital of Shanxi Medical University , Taiyuan, China
                [4] 4 Shanxi Provincial People’s Hospital , Taiyuan, China
                Author notes

                Edited by: Jingfeng Jiang, Michigan Technological University, United States

                Reviewed by: Dalin Tang, Worcester Polytechnic Institute, United States

                Claudio M. Garcia-Herrera, Universidad de Santiago de Chile, Chile

                *Correspondence: Xiaogang Wu, wuxiaogangtyut@ 123456163.com ; Yongwang Zhao, yongwang2008@ 123456126.com ; Yonghong Wang, wyh200533@ 123456126.com
                Article
                Publisher ID: 1323266
                DOI: 10.3389/fbioe.2023.1323266
                PMC ID: 10822973
                PubMed ID: 38288243
                SO-VID: 2dffd15e-6ec1-403c-aa8b-c1bd904a27a7
                Copyright © Copyright © 2024 Fan, Zhang, Zheng, Li, Wang, He, Xue, Chen, Wu, Zhao and Wang.
                License:

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                Date received : 17 October 2023
                Date accepted : 29 December 2023
                Funding
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the National Natural Science Foundation of China (Grant No. 12272250 and 12372310), China Postdoctoral Science Foundation (Grant No. 2020M680913), Shanxi Scholarship Council of China (Grant No. 2022-081), Shanxi Province Graduate Education Innovation Program (Grant No. 2022Y278 and 2023-125).
                Categories
                Subject: Bioengineering and Biotechnology
                Subject: Original Research
                Custom metadata
                section-at-acceptance Biomechanics

                Keywords: cerebral aneurysm,fluid-structure interaction,three-layer membrane structure,hyperelastic material,finite element analysis
                Data availability:
                Keywords: cerebral aneurysm, fluid-structure interaction, three-layer membrane structure, hyperelastic material, finite element analysis

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