Parameter-dependent behavior of articular cartilage: 3D mechano-electrochemical computational model

Manzano Martínez, Sara (Universidad de Zaragoza) ; Doblaré Castellano, Manuel (Universidad de Zaragoza) ; Hamdy Doweidar, Mohamed (Universidad de Zaragoza)

Resumen: Background 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.

Idioma: Inglés

DOI: 10.1016/j.cmpb.2015.09.018

Año: 2015

Publicado en: Computer Methods and Programs in Biomedicine 122, 3 (2015), 491–502
ISSN: 0169-2607

Factor impacto JCR: 1.862 (2015)

Categ. JCR: COMPUTER SCIENCE, THEORY & METHODS rank: 16 / 105 = 0.152 (2015) - Q1 - T1
Categ. JCR: ENGINEERING, BIOMEDICAL rank: 35 / 76 = 0.461 (2015) - Q2 - T2
Categ. JCR: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS rank: 37 / 104 = 0.356 (2015) - Q2 - T2
Categ. JCR: MEDICAL INFORMATICS rank: 10 / 20 = 0.5 (2015) - Q2 - T2

Factor impacto SCIMAGO: 0.849 - Computer Science Applications (Q1) - Software (Q1) - Health Informatics (Q1)

Financiación: info:eu-repo/grantAgreement/ES/MEC/FPU-AP2010-2557
Financiación: info:eu-repo/grantAgreement/ES/MINECO/MAT2013-46467-C4-3-R

Tipo y forma: Article (PrePrint)

Área (Departamento): Área Mec.Med.Cont. y Teor.Est. (Dpto. Ingeniería Mecánica)