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Establishment of a Segmental Femoral Critical-size Defect Model in Mice Stabilized by Plate Osteosynthesis

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A finite element study on femoral locking compression plate design using genetic optimization method.

R Rostamian¹, M Silani¹, S Ziaei-Rad¹

¹Department of Mechanical Engineering, Isfahan University of Technology, Isfahan, 84156-83111, Iran.

Journal of the Mechanical Behavior of Biomedical Materials

|May 2, 2022

Summary

This study presents a simulation-based optimization algorithm to determine the best locking compression plate (LCP) and screw configurations for enhanced bone-implant stability in long bone fracture treatment. The developed method optimizes implant selection for improved surgical outcomes.

Keywords:

Finite element method Locking compression plate Locking screw Optimization

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Area of Science:

Biomedical Engineering
Orthopedic Surgery
Computational Mechanics

Background:

Locking compression plates (LCPs) are standard internal fixators for long bone fractures.
Surgeons face challenges in selecting optimal LCP and screw combinations for individual patients.
Achieving superior bone-implant stability is crucial for successful fracture healing.

Purpose of the Study:

To develop a parametrized simulation-based optimization algorithm for determining optimal LCP systems.
To enhance bone-implant stability in the treatment of long bone fractures.
To provide a data-driven approach for selecting patient-specific implants.

Main Methods:

A three-dimensional fractured bone model with an LCP system was generated.
A discrete genetic optimization algorithm was employed to design optimal implant configurations.
Simulations were performed to optimize screw numbers, plate dimensions, and configurations for various fracture types.

Main Results:

Six screws were identified as optimal for middle third transverse fractures.
Optimal LCP plate dimensions were determined for specific femoral fracture patterns.
The algorithm successfully identified optimal configurations for transverse and oblique femoral fractures.

Conclusions:

The simulation-based optimization algorithm effectively determines optimal LCP and screw configurations.
This approach can guide the selection of appropriate implants for improved surgical outcomes in fracture treatment.
The findings support enhanced bone-implant stability through optimized internal fixator design.