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      Patient-specific simulation of stent-graft deployment in type B aortic dissection: model development and validation

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          Abstract

          Thoracic endovascular aortic repair (TEVAR) has been accepted as the mainstream treatment for type B aortic dissection, but post-TEVAR biomechanical-related complications are still a major drawback. Unfortunately, the stent-graft (SG) configuration after implantation and biomechanical interactions between the SG and local aorta are usually unknown prior to a TEVAR procedure. The ability to obtain such information via personalised computational simulation would greatly assist clinicians in pre-surgical planning. In this study, a virtual SG deployment simulation framework was developed for the treatment for a complicated aortic dissection case. It incorporates patient-specific anatomical information based on pre-TEVAR CT angiographic images, details of the SG design and the mechanical properties of the stent wire, graft and dissected aorta. Hyperelastic material parameters for the aortic wall were determined based on uniaxial tensile testing performed on aortic tissue samples taken from type B aortic dissection patients. Pre-stress conditions of the aortic wall and the action of blood pressure were also accounted for. The simulated post-TEVAR configuration was compared with follow-up CT scans, demonstrating good agreement with mean deviations of 5.8% in local open area and 4.6 mm in stent strut position. Deployment of the SG increased the maximum principal stress by 24.30 kPa in the narrowed true lumen but reduced the stress by 31.38 kPa in the entry tear region where there was an aneurysmal expansion. Comparisons of simulation results with different levels of model complexity suggested that pre-stress of the aortic wall and blood pressure inside the SG should be included in order to accurately predict the deformation of the deployed SG.

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          Presentation, Diagnosis, and Outcomes of Acute Aortic Dissection: 17-Year Trends From the International Registry of Acute Aortic Dissection.

          Diagnosis, treatment, and outcomes of acute aortic dissection (AAS) are changing.
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            Management of acute aortic dissection.

            A new appraisal of the management of acute aortic dissection is timely because of recent developments in diagnostic strategies (including biomarkers and imaging), endograft design, and surgical treatment, which have led to a better understanding of the epidemiology, risk factors, and molecular nature of aortic dissection. Although open surgery is the main treatment for proximal aortic repair, use of endovascular management is now established for complicated distal dissection and distal arch repair, and has recently been discussed as a pre-emptive measure to avoid late complications by inducing aortic remodelling.
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              Some Forms of the Strain Energy Function for Rubber

              O H Yeoh (1993)
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                Author and article information

                Contributors
                dong.zhihui@zs-hospital.sh.cn
                yun.xu@imperial.ac.uk
                Journal
                Biomech Model Mechanobiol
                Biomech Model Mechanobiol
                Biomechanics and Modeling in Mechanobiology
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                1617-7959
                1617-7940
                24 August 2021
                24 August 2021
                2021
                : 20
                : 6
                : 2247-2258
                Affiliations
                [1 ]GRID grid.7445.2, ISNI 0000 0001 2113 8111, Department of Chemical Engineering, , Imperial College London, ; London, SW7 2AZ UK
                [2 ]GRID grid.413087.9, ISNI 0000 0004 1755 3939, Department of Vascular Surgery, , Zhongshan Hospital, Fudan University, ; Shanghai, China
                [3 ]GRID grid.255169.c, ISNI 0000 0000 9141 4786, Key Laboratory of Textile Science and Technology of Ministry of Education, College of Textiles, , Donghua University, ; Shanghai, China
                Author information
                http://orcid.org/0000-0002-8267-621X
                Article
                1504
                10.1007/s10237-021-01504-x
                8595232
                34431034
                0f396b84-74f7-4756-bac6-2804f11f6e17
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 31 March 2021
                : 11 August 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 81770508
                Award Recipient :
                Funded by: Royal Society UK
                Award ID: IE161052
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100004543, China Scholarship Council;
                Categories
                Original Paper
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2021

                Biophysics
                finite element analysis,tevar,type b aortic dissection,virtual stent-graft deployment

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