000032800 001__ 32800
000032800 005__ 20210121082902.0
000032800 0247_ $$2doi$$a10.1016/j.cmpb.2015.09.018
000032800 0248_ $$2sideral$$a92355
000032800 037__ $$aART-2015-92355
000032800 041__ $$aeng
000032800 100__ $$0(orcid)0000-0002-6305-9283$$aManzano Martínez, Sara$$uUniversidad de Zaragoza
000032800 245__ $$aParameter-dependent behavior of articular cartilage: 3D mechano-electrochemical computational model
000032800 260__ $$c2015
000032800 5060_ $$aAccess copy available to the general public$$fUnrestricted
000032800 5203_ $$aBackground and objective
Changes in mechano-electrochemical properties of articular cartilage play an essential role in the majority of cartilage diseases. Despite of this importance, the specific effect of each parameter into tissue behavior remains still obscure. Parametric computational modeling of cartilage can provide some insights into this matter, specifically the study of mechano-electrochemical properties variation and their correlation with tissue swelling, water and ion fluxes. Thus, the aim of this study is to evaluate the influence of the main mechanical and electrochemical parameters on the determination of articular cartilage behavior by a parametric analysis through a 3D finite element model.
Methods
For this purpose, a previous 3D mechano-electrochemical model, developed by the same authors, of articular cartilage behavior has been used. Young's modulus, Poisson coefficient, ion diffusivities and ion activity coefficients variations have been analyzed and quantified through monitoring tissue simulated response.
Results
Simulation results show how Young's modulus and Poisson coefficient control tissue behavior rather than electrochemical properties. Meanwhile, ion diffusivity and ion activity coefficients appear to be vital in controlling velocity of incoming and outgoing fluxes.
Conclusions
This parametric study establishes a basic guide when defining the main properties that are essential to be included into computational modeling of articular cartilage providing a helpful tool in tissue simulations.
000032800 536__ $$9info:eu-repo/grantAgreement/ES/MEC/FPU-AP2010-2557$$9info:eu-repo/grantAgreement/ES/MINECO/MAT2013-46467-C4-3-R
000032800 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000032800 590__ $$a1.862$$b2015
000032800 591__ $$aCOMPUTER SCIENCE, THEORY & METHODS$$b16 / 105 = 0.152$$c2015$$dQ1$$eT1
000032800 591__ $$aENGINEERING, BIOMEDICAL$$b35 / 76 = 0.461$$c2015$$dQ2$$eT2
000032800 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b37 / 104 = 0.356$$c2015$$dQ2$$eT2
000032800 591__ $$aMEDICAL INFORMATICS$$b10 / 20 = 0.5$$c2015$$dQ2$$eT2
000032800 592__ $$a0.849$$b2015
000032800 593__ $$aComputer Science Applications$$c2015$$dQ1
000032800 593__ $$aSoftware$$c2015$$dQ1
000032800 593__ $$aHealth Informatics$$c2015$$dQ1
000032800 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/submittedVersion
000032800 700__ $$0(orcid)0000-0001-8741-6452$$aDoblaré Castellano, Manuel$$uUniversidad de Zaragoza
000032800 700__ $$0(orcid)0000-0003-0088-7222$$aHamdy Doweidar, Mohamed$$uUniversidad de Zaragoza
000032800 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000032800 773__ $$g122, 3 (2015), 491–502$$pComput. methods programs biomed.$$tComputer Methods and Programs in Biomedicine$$x0169-2607
000032800 8564_ $$s1064954$$uhttps://zaguan.unizar.es/record/32800/files/texto_completo.pdf$$yPreprint
000032800 8564_ $$s38260$$uhttps://zaguan.unizar.es/record/32800/files/texto_completo.jpg?subformat=icon$$xicon$$yPreprint
000032800 909CO $$ooai:zaguan.unizar.es:32800$$particulos$$pdriver
000032800 951__ $$a2021-01-21-08:16:31
000032800 980__ $$aARTICLE