Literature DB >> 30053678

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.

Vincent Mendez1, Marzio Di Giuseppe2, Salvatore Pasta3.   

Abstract

Patient-specific computational modeling is increasingly being used to predict structural and hemodynamic parameters, especially when current clinical tools are not accessible. Indeed, pathophysiology of ascending thoracic aortic aneurysm (ATAA) has been simulated to quantify the risk of complications by novel prognostic parameters and thus to improve the clinical decision-making process related to the intervention of ATAAs. In this study, the relevance of aneurysmal wall elasticity in determining parameters of clinical importance, such as the wall shear stress (WSS), is discussed together with the significance of applying realistic boundary conditions to consider the aortic stretch and twist transmitted by the heart motion. Results from both finite element analysis (FEA) and computational fluid-dynamic (CFD) were compared to those of 2-way fluid-solid interaction analyses (FSI), which were carried out on ATAAs with either bicuspid aortic valve (BAV) or tricuspid aortic valve (TAV). Although both the shear and intramural stress spatial distributions were found different for a given ATAA, correlation analysis and Bland-Altman plots demonstrated that CFD-related WSS and FEA-related IMS predictions were comparable with those derived by the more sophisticated 2-way FSI modeling. This is likely caused by the stiff aneurysmal wall showing reduced diameter changes over the cardiac beating (ie, 4.2 ± 2.4%). Therefore, with the fact that there is no gold-standard for the assessment of hemodynamic and structural mechanics of ATAAs and with accepted limitations of our approach, computational technique has to be verified before applications in routine clinical practice as demonstrated in this study.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Ascending thoracic aortic aneurysm; Computational fluid-dynamic (CFD); Finite element analysis (FEA); Fluid-solid interaction (FSI)

Mesh:

Year:  2018        PMID: 30053678     DOI: 10.1016/j.compbiomed.2018.07.013

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  8 in total

1.  Inversion of Left Atrial Appendage Will Cause Compressive Stresses in the Tissue: Simulation Study of Potential Therapy.

Authors:  Salvatore Pasta; Julius M Guccione; Ghassan S Kassab
Journal:  J Pers Med       Date:  2022-05-27

2.  Patient-specific computational fluid dynamics analysis of transcatheter aortic root replacement with chimney coronary grafts.

Authors:  Michele Conti; Rodrigo M Romarowski; Anna Ferrarini; Matteo Stochino; Ferdinando Auricchio; Simone Morganti; Ludwig Karl von Segesser; Enrico Ferrari
Journal:  Interact Cardiovasc Thorac Surg       Date:  2021-04-08

Review 3.  Computational Hemodynamic Modeling of Arterial Aneurysms: A Mini-Review.

Authors:  Sarah N Lipp; Elizabeth E Niedert; Hannah L Cebull; Tyler C Diorio; Jessica L Ma; Sean M Rothenberger; Kimberly A Stevens Boster; Craig J Goergen
Journal:  Front Physiol       Date:  2020-05-12       Impact factor: 4.566

4.  Fluid Structure Interaction on Paravalvular Leakage of Transcatheter Aortic Valve Implantation Related to Aortic Stenosis: A Patient-Specific Case.

Authors:  Adi A Basri; Mohammad Zuber; Ernnie I Basri; Muhammad S Zakaria; Ahmad F A Aziz; Masaaki Tamagawa; Kamarul A Ahmad
Journal:  Comput Math Methods Med       Date:  2020-05-04       Impact factor: 2.238

Review 5.  The Finite Element Analysis Research on Microneedle Design Strategy and Transdermal Drug Delivery System.

Authors:  Qinying Yan; Shulin Shen; Yan Wang; Jiaqi Weng; Aiqun Wan; Gensheng Yang; Lili Feng
Journal:  Pharmaceutics       Date:  2022-08-03       Impact factor: 6.525

6.  On the Left Ventricular Remodeling of Patients with Stenotic Aortic Valve: A Statistical Shape Analysis.

Authors:  Salvatore Cutugno; Tommaso Ingrassia; Vincenzo Nigrelli; Salvatore Pasta
Journal:  Bioengineering (Basel)       Date:  2021-05-13

7.  Comparison of Hemodynamic Visualization in Cerebral Arteries: Can Magnetic Resonance Imaging Replace Computational Fluid Dynamics?

Authors:  Minh Tri Ngo; Ui Yun Lee; Hojin Ha; Ning Jin; Gyung Ho Chung; Yeong Gon Kwak; Jinmu Jung; Hyo Sung Kwak
Journal:  J Pers Med       Date:  2021-03-30

8.  On the Role and Effects of Uncertainties in Cardiovascular in silico Analyses.

Authors:  Simona Celi; Emanuele Vignali; Katia Capellini; Emanuele Gasparotti
Journal:  Front Med Technol       Date:  2021-12-01
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.