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Updated: Jun 6, 2026

In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty
Published on: May 5, 2023
Full-flexion gap balancing-driven personalized preoperative planning for TKA: biomechanical evidence of improved load
Zijun Tang1,2, Diyang Zou1,2, Yangyang Yang1,2
1School of Biomedical Engineering and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, 200030, China.
Purpose:
Conventional morphology-based planning (MB) in total knee arthroplasty (TKA) often results in imbalanced medial-lateral loading, which is a major risk factor for prosthesis loosening. This study aimed to evaluate a full-flexion gap balance planning (GB) approach and compare its biomechanical performance with MB planning.
Methods:
TKA surgical planning was performed on eight subjects. In vivo knee kinematics were obtained using a dual X-ray imaging system. The implant position was optimized within an in silico surgical-planning framework by minimizing medial-lateral gap differences across the full flexion range using in vivo dynamic kinematics. Using 3D-printed in vitro models, joint contact forces were measured at various flexion angles to compare medial-lateral load distribution between GB and MB planning.
Results:
GB planning optimized femoral varus/valgus by approximately 4° within anatomical constraints, significantly reducing the medial-lateral gap difference to a mean of < 1 mm across the entire flexion range (p < 0.05). In contrast, the medial-lateral gap difference exceeded 2 mm with MB planning. Furthermore, at mid-to-high flexion angles (30°-100°), GB planning reduced the medial-lateral load imbalance by approximately 38%-67% compared with MB planning (p < 0.05).
Conclusion:
GB planning significantly improves medial-lateral load balance across the full range of flexion compared to conventional MB planning. This personalized planning optimizes joint loading patterns in vitro, which may theoretically align with principles aimed at reducing flexion-related adverse outcomes.