Standardized Morphological Modeling and Simulation-Based Validation of a Novel Tibiotalar Fusion Implant

This study establishes a standardized geometric model of the tibiotalar joint based on anatomical morphology and validates its statistical representativeness. Using this model, a novel fusion implant was developed and evaluated for its biomechanical performance through nonlinear finite element (FE) analysis compared to traditional fixation methods. A morphological database of the tibiotalar joint was built using 30 computed tomography (CT) scans to determine key dimensional parameters, and a novel fusion implant was designed to match the joint's natural curvature. FE analysis compared three fixation strategies: (1) the novel implant with an anterior plate, (2) the anterior plate alone, and (3) three compression screws. Biomechanical parameters, including joint contact area, micromotion, and stress distribution, were analyzed under simulated loading conditions. The novel implant achieved the highest joint contact area (95.0%) and lowest tibial micromotion (0.033 mm), significantly reducing stress concentration compared to anterior plate fixation (49.8% contact; 0.068 mm micromotion) and compression screws (78.2% contact; 0.355 mm micromotion). Constructing a standardized tibiotalar joint model with verified normal distribution is crucial for ensuring broad implant applicability. FE analysis demonstrated that the novel implant enhances joint contact, reduces micromotion, and optimizes stress distribution, offering a promising approach for improving surgical outcomes in tibiotalar joint fusion.

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Publication Details

Journal
Bioengineering
Published
2025-06-27
DOI
https://doi.org/10.3390/bioengineering12070705
Primary Topic
Foot and Ankle Surgery
Type
article
Field-Weighted Citation Impact
0.00

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Standardized Morphological Modeling and Simulation-Based Validation of a Novel Tibiotalar Fusion Implant

Yu‐Tzu Wang, Chun‐Li Lin, Chao-Wei Huang, Chi‐An Chen
Bioengineering
Foot and Ankle Surgery
article

Standardized Morphological Modeling and Simulation-Based Validation of a Novel Tibiotalar Fusion Implant

Yu‐Tzu Wang, Chun‐Li Lin, Chao-Wei Huang, Chi‐An Chen
article en

Abstract

This study establishes a standardized geometric model of the tibiotalar joint based on anatomical morphology and validates its statistical representativeness. Using this model, a novel fusion implant was developed and evaluated for its biomechanical performance through nonlinear finite element (FE) analysis compared to traditional fixation methods. A morphological database of the tibiotalar joint was built using 30 computed tomography (CT) scans to determine key dimensional parameters, and a novel fusion implant was designed to match the joint's natural curvature. FE analysis compared three fixation strategies: (1) the novel implant with an anterior plate, (2) the anterior plate alone, and (3) three compression screws. Biomechanical parameters, including joint contact area, micromotion, and stress distribution, were analyzed under simulated loading conditions. The novel implant achieved the highest joint contact area (95.0%) and lowest tibial micromotion (0.033 mm), significantly reducing stress concentration compared to anterior plate fixation (49.8% contact; 0.068 mm micromotion) and compression screws (78.2% contact; 0.355 mm micromotion). Constructing a standardized tibiotalar joint model with verified normal distribution is crucial for ensuring broad implant applicability. FE analysis demonstrated that the novel implant enhances joint contact, reduces micromotion, and optimizes stress distribution, offering a promising approach for improving surgical outcomes in tibiotalar joint fusion.

BioengineeringVol. 12(7)
Tamkang University (TW), National Yang Ming Chiao Tung University (TW), Taipei City Hospital (TW)
National Science and Technology Council
Openalex Percentile: Top 80%
Foot and Ankle Surgery
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Standardized Morphological Modeling and Simulation-Based Validation of a Novel Tibiotalar Fusion Implant — Yu‐Tzu Wang, Chun‐Li Lin, et al. · Bioengineering (2025) | TGRS Research Map | TGRS