Finite element models of the tibiofemoral joint: A review of validation approaches and modelling challenges
•Generic knee models are useful for sensitivity testing and parametric analysis.•Subject-specific models provide insight into specific joint's mechanical behaviour.•Validate outputs specifically relevant to the knee model's intended application.•Model data can aid stratification of future...
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Veröffentlicht in: | Medical engineering & physics 2019-12, Vol.74, p.1-12 |
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Sprache: | eng |
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Zusammenfassung: | •Generic knee models are useful for sensitivity testing and parametric analysis.•Subject-specific models provide insight into specific joint's mechanical behaviour.•Validate outputs specifically relevant to the knee model's intended application.•Model data can aid stratification of future treatments for different patient groups.•Outputs from knee modelling studies will have increasing clinical importance.
The knee joint is a complex mechanical system, and computational modelling can provide vital information for the prediction of disease progression and of the potential for therapeutic interventions. This review provides an overview of the challenges involved in developing finite element models of the tibiofemoral joint, including the representation of appropriate geometry and material properties, loads and motions, and establishing pertinent outputs. The importance of validation for computational models in biomechanics has been highlighted by a number of papers, and finite element models of the tibiofemoral joint are a particular area in which validation can be challenging, due to the complex nature of the knee joint, its geometry and its constituent tissue properties. A variety of study designs have emerged to tackle these challenges, and these can be categorised into several different types. The role of validation, and the strategies adopted by these different study types, are discussed. Models representing trends and sensitivities often utilise generic representations of the knee and provide conclusions with relevance to general populations, usually without explicit validation. Models representing in vitro specimens or in vivo subjects can, to varying extents, be more explicitly validated, and their conclusions are more subject-specific. The potential for these approaches to examine the effects of patient variation is explored, which could lead to future applications in defining how treatments may be stratified for subgroups of patients. |
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ISSN: | 1350-4533 1873-4030 |
DOI: | 10.1016/j.medengphy.2019.08.002 |