136096 20260217205544.0 doi 10.1016/j.cmpb.2024.108296 sideral 139035 ART-2024-139035 eng Hernández-López, Patricia (orcid)0000-0002-2360-8276 Impact of geometric and hemodynamic changes on a mechanobiological model of atherosclerosis 2024 Access copy available to the general public Unrestricted Background and Objective: In this work, the analysis of the importance of hemodynamic updates on a mechanobiological model of atheroma plaque formation is proposed. Methods: For that, we use an idealized and axisymmetric model of carotid artery. In addition, the behavior of endothelial cells depending on hemodynamical changes is analyzed too. A total of three computational simulations are carried out and their results are compared: an uncoupled model and two models that consider the opposite behavior of endothelial cells caused by hemodynamic changes. The model considers transient blood flow using the Navier–Stokes equation. Plasma flow across the endothelium is determined with Darcy’s law and the Kedem–Katchalsky equations, considering the three-pore model, which is also employed for the flow of substances across the endothelium. The behavior of the considered substances in the arterial wall is modeled with convection–diffusion–reaction equations, and the arterial wall is modeled as a hyperelastic Yeoh’s material. Results:Significant variations are noted in both the morphology and stenosis ratio of the plaques when comparing the uncoupled model to the two models incorporating updates for geometry and hemodynamic stimuli. Besides, the phenomenon of double-stenosis is naturally reproduced in the models that consider both geometric and hemodynamical changes due to plaque growth, whereas it cannot be predicted in the uncoupled model. Conclusions: The findings indicate that integrating the plaque growth model with geometric and hemodynamic settings is essential in determining the ultimate shape and dimensions of the carotid plaque. info:eu-repo/grantAgreement/ES/AEI/PID2021-125731OB-C31 nfo:eu-repo/grantAgreement/ES/AEI/PID2022-140219OB-I00 info:eu-repo/grantAgreement/ES/DGA-FSE/T24-20R info:eu-repo/grantAgreement/ES/MICINN/BES-2017-080239 info:eu-repo/grantAgreement/ES/MICINN/PID2019-107517RB-I00 info:eu-repo/grantAgreement/ES/MINECO/RYC-2015-171562 info:eu-repo/semantics/openAccess by-nc https://creativecommons.org/licenses/by-nc/4.0/deed.es 4.8 2024 COMPUTER SCIENCE, THEORY & METHODS 20 / 147 = 0.136 2024 Q1 T1 MEDICAL INFORMATICS 11 / 48 = 0.229 2024 Q1 T1 ENGINEERING, BIOMEDICAL 35 / 124 = 0.282 2024 Q2 T1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 47 / 177 = 0.266 2024 Q2 T1 1.13 2024 Computer Science Applications 2024 Q1 Software 2024 Q1 Health Informatics 2024 Q1 11.1 2024 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Cilla, Myriam Universidad de Zaragoza (orcid)0000-0002-8503-9291 Martínez, Miguel Á. Universidad de Zaragoza (orcid)0000-0002-8375-0354 Peña, Estefanía Universidad de Zaragoza (orcid)0000-0002-0664-5024 Malvè, Mauro (orcid)0000-0002-0116-2736 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 254 (2024), 108296 [17 pp.] Comput. methods programs biomed. Computer Methods and Programs in Biomedicine 0169-2607 3986176 http://zaguan.unizar.es/record/136096/files/texto_completo.pdf Versión publicada 2561807 http://zaguan.unizar.es/record/136096/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:136096 articulos driver 2026-02-17-20:37:44 ARTICLE