Computational modelling of articular joints with biphasic cartilage: recent advances, challenges and opportunities
•Recent advances, challenges and opportunities in computational models of joints with biphasic weight-bearing soft tissues are reviewed.•Approaches, advances and major findings of biphasic models of the hip and knee are presented.•Future development and potential applications of biphasic joint model...
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Veröffentlicht in: | Medical engineering & physics 2024-04, Vol.126, p.104130-104130, Article 104130 |
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Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | •Recent advances, challenges and opportunities in computational models of joints with biphasic weight-bearing soft tissues are reviewed.•Approaches, advances and major findings of biphasic models of the hip and knee are presented.•Future development and potential applications of biphasic joint modeling in disease diagnosis and interventions are provided and discussed.
Biphasic models have been widely used to simulate the time-dependent biomechanical response of soft tissues. Modelling techniques of joints with biphasic weight-bearing soft tissues have been markedly improved over the last decade, enhancing our understanding of the function, degenerative mechanism and outcomes of interventions of joints. This paper reviews the recent advances, challenges and opportunities in computational models of joints with biphasic weight-bearing soft tissues. The review begins with an introduction of the function and degeneration of joints from a biomechanical aspect. Different constitutive models of articular cartilage, in particular biphasic materials, are illustrated in the context of the study of contact mechanics in joints. Approaches, advances and major findings of biphasic models of the hip and knee are presented, followed by a discussion of the challenges awaiting to be addressed, including the convergence issue, high computational cost and inadequate validation. Finally, opportunities and clinical insights in the areas of subject-specific modeling and tissue engineering are provided and discussed. |
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ISSN: | 1350-4533 1873-4030 |
DOI: | 10.1016/j.medengphy.2024.104130 |