Biomechanical Stability of Tibia Plateau Fracture Treatment: Conventional vs. Finite Element-Based Preoperative...

Area of Science:

• Orthopedic surgery
• Biomechanical engineering
• Medical imaging analysis

Background:

• Tibial plateau fractures necessitate precise reduction and stable fixation for optimal joint function.
• Digital tools like CT reconstructions and finite element (FE) modeling offer potential improvements in surgical planning and fixation strategies.

Purpose of the Study:

• To investigate if FE-based preoperative planning enhances tibial plateau fracture fixation stability compared to conventional planning.
• To assess construct stiffness, load to failure, and fracture stability under physiologic loading conditions.

Main Methods:

• Induced Schatzker IV tibial plateau fractures in 12 human cadaveric lower limbs.
• Randomization into conventional planning (n=6) and FE-based planning (n=6) groups.
• FE group utilized computational modeling for optimized reduction and screw trajectories, guided by custom templates; conventional group used standard CT visualization.
• All specimens underwent fixation with a medial locking plate and were subjected to axial loading tests for stiffness and cyclic loading until failure.

Main Results:

• FE-based planning resulted in more consistent locking screw utilization and increased individual screw usage.
• The FE group demonstrated a significantly higher load to failure (1050 ± 535 N vs. 442 ± 226 N) and more cycles to failure (10,100 ± 5400 vs. 4100 ± 2400).
• FE-based planning led to more symmetrical construct stiffness; however, adjusted failure load differences were not statistically significant, and tibial plateau widening was comparable.

Conclusions:

• FE-based preoperative planning can enhance the stability of tibial plateau fracture fixation and reduce fixation asymmetry.
• The study suggests potential benefits of FE-based planning for complex fracture treatment.
• Further clinical validation is required to confirm if these biomechanical advantages translate to improved patient outcomes.