Robotics Institute, Harbin University of Science and Technology, Harbin, China

---

Abstract—Objective: In order to avoid the adverse consequences which cause by anthropogenic factor in the femoral neck fracture surgery and meet the requirements of selecting the most reasonable internal fixation way, from the viewpoint of biomechanics, an optimal selection system of internal fixation methods for femoral neck facture are established which integrates preprocessing, solving and post-processing. Method: A reasonable simplified femur model is presented by analyzing a precise model of femur standing on one leg. After special patient’s femur model is set up, different internal fixation model are analyzed using finite element method (FEM). The interactive communication between APDL and object-oriented programming language is realized. Following evaluation parameters are got based finite element analysis: sinking displacement, lateral displacement, torsional displacement, sum displacement of femur head and gap displacement between fracture surfaces. According to the results, the evaluation algorithm is complied to select the optimal internal fixation method. This study is completed in 3/20/2012 at Harbin University of Science and Technology. Result: As the application of optimal selection program of internal fixation methods for femoral neck fracture, the best fixation way is got when fractures angle is 70°. The result show, without considering bone substance, materials and complications, only from the displacement changing trends of femoral head and fracture interfaces, the internal fixation method with two erect screws is the most reasonable one. Conclusion: The system can provide the number of tightening screw, the fixed angle and combinatorial way of the optimal result to doctors to perform operations.

Index Terms—Femoral neck fracture, Internal fixation, Optimal selection, Finite element method, Evaluation algorithm

[PDF]

Cite: Monan Wang, "Optimal Selection System of Internal Fixation Methods for Femoral Neck Fracture," Journal of Software vol. 9, no. 11, pp. 2910-2917, 2014.