{"title":"A New Criterion for the Human Knee Osteoarthritis Characterization: Finite Element modelling","authors":"Zahra TRAD, Abdelwahed BARKAOUI","doi":"10.1615/intjmultcompeng.2023048267","DOIUrl":null,"url":null,"abstract":"Osteoarthritis (OA), characterized by the degradation of articular cartilage, is a musculoskeletal disease that occurs as the result of variations in the mechanical stress and strain applied to the knee joint. Since damaged cartilage has very poor intrinsic repair and regenerative capacity, numerical modeling complemented by experimental studies have been widely investigated to examine the causes of OA development. However, the responses of the articular cartilage to a load distributed as a function of knee laxity in the frontal plane have not been studied numerically. Accordingly, we provide in this paper a 3D finite element (FE) model of the knee joint obtained from Magnetic Resonance Imaging (MRI) dataset, in order to assess the biomechanical responses of cartilage. The main goal of this work is to develop a new methodology to quantify the load applied to the knee and to propose a new criterion for characterizing cartilage wear based on arthroscopic and radiological classifications. In the situations of varus and valgus laxity, the FE analysis demonstrated that degenerative cartilage degradation is seen to be larger for higher abnormalities. Moreover, numerical modeling of the new criterion allowed for the identification of OA phases based on the rate of cartilage wear measured for the various FE knee models.","PeriodicalId":50350,"journal":{"name":"International Journal for Multiscale Computational Engineering","volume":"26 4","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Multiscale Computational Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1615/intjmultcompeng.2023048267","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Osteoarthritis (OA), characterized by the degradation of articular cartilage, is a musculoskeletal disease that occurs as the result of variations in the mechanical stress and strain applied to the knee joint. Since damaged cartilage has very poor intrinsic repair and regenerative capacity, numerical modeling complemented by experimental studies have been widely investigated to examine the causes of OA development. However, the responses of the articular cartilage to a load distributed as a function of knee laxity in the frontal plane have not been studied numerically. Accordingly, we provide in this paper a 3D finite element (FE) model of the knee joint obtained from Magnetic Resonance Imaging (MRI) dataset, in order to assess the biomechanical responses of cartilage. The main goal of this work is to develop a new methodology to quantify the load applied to the knee and to propose a new criterion for characterizing cartilage wear based on arthroscopic and radiological classifications. In the situations of varus and valgus laxity, the FE analysis demonstrated that degenerative cartilage degradation is seen to be larger for higher abnormalities. Moreover, numerical modeling of the new criterion allowed for the identification of OA phases based on the rate of cartilage wear measured for the various FE knee models.
期刊介绍:
The aim of the journal is to advance the research and practice in diverse areas of Multiscale Computational Science and Engineering. The journal will publish original papers and educational articles of general value to the field that will bridge the gap between modeling, simulation and design of products based on multiscale principles. The scope of the journal includes papers concerned with bridging of physical scales, ranging from the atomic level to full scale products and problems involving multiple physical processes interacting at multiple spatial and temporal scales. The emerging areas of computational nanotechnology and computational biotechnology and computational energy sciences are of particular interest to the journal. The journal is intended to be of interest and use to researchers and practitioners in academic, governmental and industrial communities.