Finite element analysis of the knee joint: a computational tool to analyze the combined behavior after treatment of torn ligaments and menisci in the human knee joint.

Anterior cruciate ligament reconstruction Finite element analysis Lateral tenodesis Medial patellofemoral ligament reconstruction Meniscal tear Posterior cruciate ligament reconstruction

Journal

SICOT-J
ISSN: 2426-8887
Titre abrégé: SICOT J
Pays: France
ID NLM: 101675099

Informations de publication

Date de publication:
2024
Historique:
received: 31 07 2024
accepted: 15 09 2024
medline: 1 11 2024
pubmed: 1 11 2024
entrez: 31 10 2024
Statut: ppublish

Résumé

Finite element analysis (FEA) is a fundamental tool that can be used in the orthopaedic world to simulate and analyze the behaviour of different surgical procedures. It is important to be aware that removing more than 20% of the meniscus could increase the shear stress in the cartilage and enlarge the risk of knee joint degeneration. In this fact, the maximal shear stress value in the medial cartilage increased up to 225% from 0.15 MPa to 0.5 MPa after medial meniscectomy. Also, meniscal root repair can improve meniscal biomechanics and potentially reduce the risk of osteoarthritis, even in cases of a loose repair. FEA has been used to better understand the biomechanical role of cruciate ligaments in the knee joint. ACLr with bone-patellar tendon-bone graft at 60 N of pretension and double-bundle PCLr were closer to that of a native knee in terms of biomechanics. The addition of a lateral extra-articular augmentation technique can reduce 50% of tibial translation and internal rotation, protecting the graft and minimizing the risk of re-rupture. Interestingly, anatomic and non-anatomic medial patellofemoral ligament reconstruction increased the pressure applied to the patellofemoral joint by increasing patellar contact pressure to 0.14 MPa at 30° of knee flexion using the semitendinosus as a graft. After all the advances in medical imaging technologies, future studies should take into consideration patient-specific data on both anatomy and mechanics, in order to better personalize the experimental model.

Identifiants

pubmed: 39481077
doi: 10.1051/sicotj/2024039
pii: sicotj240079
doi:

Types de publication

Journal Article

Langues

eng

Pagination

45

Informations de copyright

© The Authors, published by EDP Sciences, 2024.

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Auteurs

Angelo V Vasiliadis (AV)

Department of Orthopaedic Surgery, Sports Trauma Unit, St. Luke's Hospital, 55236 Panorama-Thessaloniki, Greece - Orthopaedic Surgery and Sports Medicine Department, FIFA Medical Center of Excellence, Croix-Rousse Hospital, Lyon University Hospital, 69004 Lyon, France - Department of Anatomy, Faculty of Medicine, University of Thessaly, 41334 Larissa, Greece - Department of Anatomy, School of Medicine, Faculty of Health Sciences, National and Kapodistrian University of Athens, 11527 Athens, Greece.

Vasileios Giovanoulis (V)

Orthopaedic Surgery and Sports Medicine Department, FIFA Medical Center of Excellence, Croix-Rousse Hospital, Lyon University Hospital, 69004 Lyon, France.

Alexandros Maris (A)

Department of Trauma and Orthopaedics, Royal Free Hospital NHS Trust, W1W 5AQ London, UK.

Dimitrios Chytas (D)

European University of Cyprus, 2404 Engomi, Nicosia, Cyprus - Basic Sciences Laboratory, Department of Physiotherapy, University of Peloponnese, 23100 Sparta, Greece.

Konstantinos Katakalos (K)

Laboratory for Strength of Materials and Structures, Department of Civil Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.

George Paraskevas (G)

Department of Anatomy and Surgical Anatomy, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.

George Noussios (G)

Department of Physical Education and Sports Sciences at Serres, Aristotle University of Thessaloniki, 62122 Serres, Greece.

Aikaterini Vassiou (A)

Department of Anatomy, Faculty of Medicine, University of Thessaly, 41334 Larissa, Greece.

Classifications MeSH