Abstract
Purpose
To optimize the biomechanical performance of S2AI screw fixation using a genetic algorithm (GA) and patient-specific finite element analysis integrating bone mechanical properties.
Methods
Patient-specific pelvic finite element models (FEM), including one normal and one osteoporotic model, were created from bi-planar multi-energy X-rays (BMEXs). The genetic algorithm (GA) optimized screw parameters based on bone mass quality (BM method) while a comparative optimization method maximized the screw corridor radius (GEO method). Biomechanical performance was evaluated through simulations, comparing both methods using pullout and toggle tests.
Results
The optimal screw trajectory using the BM method was more lateral and caudal with insertion angles ranging from 49° to 66° (sagittal plane) and 29° to 35° (transverse plane). In comparison, the GEO method had ranges of 44° to 54° and 24° to 30° respectively. Pullout forces (PF) using the BM method ranged from 5 to 18.4 kN, which were 2.4 times higher than the GEO method (2.1–7.7 kN). Toggle loading generated failure forces between 0.8 and 10.1 kN (BM method) and 0.9–2.9 kN (GEO method). The bone mass surrounding the screw representing the fitness score and PF of the osteoporotic case were correlated (R2 > 0.8).
Conclusion
Our study proposed a patient-specific FEM to optimize the S2AI screw size and trajectory using a robust BM approach with GA. This approach considers surgical constraints and consistently improves fixation performance.
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Data availability
The numerical data supporting the results of this study are available from the corresponding author upon reasonable request.
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Acknowledgements
The authors would like to thank Christian Bellefleur, Sophie Labat and Sajjad Rastegar-Talzali for their continuous support.
Funding
The project was funded by the Natural Sciences and Engineering Research Council of Canada (Industrial Research Chair program with Medtronic of Canada (IRCPJ 346145-16), and the Collaborative Research and Training Experience program).
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Ningxin Qiao: Design, simulations, analysis, interpretation of the data for the work, drafting work, revising, final approbation, agree to be accountable. Isabelle Villemure: Design, interpretation of the data for the work, comprehensive review, final approbation, agree to be accountable. Zhi Wang: Interpretation of the data for the work, revising, final approbation, agree to be accountable. Yvan Petit: Interpretation of the data for the work, revising, final approbation, agree to be accountable. Carl-Eric Aubin: Design, interpretation of the data for the work, comprehensive review, final approbation, agree to be accountable.
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The authors disclose academic R&D support from Medtronic (Natural Sciences and Engineering Research Council of Canada (NSERC) industrial research chair program with Medtronic of Canada) and the NSERC-CREATE program.
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Qiao, N., Villemure, I., Wang, Z. et al. Optimization of S2-alar-iliac screw (S2AI) fixation in adult spine deformity using a comprehensive genetic algorithm and finite element model personalized to patient geometry and bone mechanical properties. Spine Deform 12, 595–602 (2024). https://doi.org/10.1007/s43390-024-00833-y
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DOI: https://doi.org/10.1007/s43390-024-00833-y