Finite Element Analysis of Different Osseocartilaginous Reconstruction Techniques in Animal Model Knees

Author:

Cosma Cosmin1ORCID,Apostu Dragos2ORCID,Vilau Cristian3ORCID,Popan Alexandru1,Oltean-Dan Daniel2ORCID,Balc Nicolae1,Tomoaie Gheorghe24,Benea Horea2

Affiliation:

1. Department of Manufacturing Engineering, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania

2. Department of Orthopedics and Traumatology, Iuliu Haţieganu University of Medicine and Pharmacy, 400132 Cluj-Napoca, Romania

3. Department of Material Resistance, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania

4. Academy of Romanian Scientists, 050044 Bucharest, Romania

Abstract

Lesions of the articular cartilage are frequent in all age populations and lead to functional impairment. Multiple surgical techniques have failed to provide an effective method for cartilage repair. The aim of our research was to evaluate the effect of two different compression forces on three types of cartilage repair using finite element analysis (FEA). Initially, an in vivo study was performed on sheep. The in vivo study was prepared as following: Case 0—control group, without cartilage lesion; Case 1—cartilage lesion treated with macro-porous collagen implants; Case 2—cartilage lesion treated with collagen implants impregnated with bone marrow concentrate (BMC); Case 3—cartilage lesion treated with collagen implants impregnated with adipose-derived stem cells (ASC). Using the computed tomography (CT) data, virtual femur-cartilage-tibia joints were created for each Case. The study showed better results in bone changes when using porous collagen implants impregnated with BMC or ASC stem cells for the treatment of osseocartilaginous defects compared with untreated macro-porous implant. After 7 months postoperative, the presence of un-resorbed collagen influences the von Mises stress distribution, total deformation, and displacement on the Z axis. The BMC treatment was superior to ASC cells in bone tissue morphology, resembling the biomechanics of the control group in all FEA simulations.

Funder

Ministry of Research, Innovation and Digitalization CNCS-UEFISCDI

Publisher

MDPI AG

Subject

General Materials Science

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