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Finite element analysis of biomechanical properties of femoral core decompression materials / 中国组织工程研究
Chinese Journal of Tissue Engineering Research ; (53): 5705-5711, 2015.
Article in Chinese | WPRIM | ID: wpr-481796
ABSTRACT

BACKGROUND:

With the help of computer aided analysis technique, the prediction and analysis of the surgical treatment and rehabilitation of patients with femoral necrosis, which can realize the scientific operation and recovery of the patients after surgery, is a hot research topic in the field of international related research.

OBJECTIVE:

By studying the force deformation and stress distribution, fracture risk, and Interface’s biomechanical properties of the femoral head in different core decompression materials, we can provide the basis for choosing the appropriate core decompression material.

METHODS:

Based on nuclear magnetic resonance imaging images of six patients with different ages, the three-dimensional model and finite element analysis model were established, and the physiological load and four different types of materials (Actifuse, BioOss, Osteoset, Prodense) were set up. Finite element analysis software AnsysWorkbench was used to analyze the performance of the femur. RESULTS AND

CONCLUSION:

The maximum stress distribution law of the femur in the work process was obtained. With the increase of the Young’s modulus of the material, the maximum normal stress of the femoral necrosis region was decreased, but the biomechanical properties of the joint surface, such as sliding distance, friction stress and pressure, are increased. On the basis of comprehensive consideration of the biomechanical properties of the fracture risk and the junction, a suitable core decompression material (Osteoset) is recommended.
Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Tissue Engineering Research Year: 2015 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Tissue Engineering Research Year: 2015 Type: Article