Design modification and selection of improved stem design of the conical stem tibial implant for TAR using FE analysis and different MCDM methods

The conical stem tibial design of total ankle replacement (TAR) has high implant-bone micromotion. This may lead to aseptic loosening which can be avoided by improving the tibial design. The objective was to propose the best stem design parameters to reduce implant-bone micromotion along with minimizing stress shielding using an integrated Finite Element-Multi Criteria Decision Making (FE-MCDM) approach. FE models of implanted tibia bones were prepared by changing the height of the stem, the diameter of the stem, and the slant of the stem. Weighted Aggregated Sum Product Assessment (WASPAS), Technique for Order of Preference by Similarities to Ideal Solution (TOPSIS), Evaluation based on Distance from Average Solution (EDAS), and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) MCDM techniques with equal weights for micromotion and stress shielding were considered. The micromotion and stress shielding were greater when the height of the stem was increased. Whereas, the increase in diameter and slant affected them marginally. The best-performing design was the Model with stem height 6 mm (diameter 6.4 mm and slant 4°) and after that was the Model with stem height 8 mm (diameter 6.4 mm and slant 4°), and then the Model with stem height 10 mm (diameter 6.4 mm and slant 4°). The height of the stem is the most important stem design parameter. Shorter height, moderate thickness, and moderate slanting stem designs are recommended.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine
Published
2024-08-20
DOI
https://doi.org/10.1177/09544119241272839
Citations
2
Primary Topic
Orthopaedic implants and arthroplasty
Type
article
Field-Weighted Citation Impact
1.15
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article

Design modification and selection of improved stem design of the conical stem tibial implant for TAR using FE analysis and different MCDM methods

Rajesh Ghosh, Jyoti Jyoti
2 citations
Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine
Orthopaedic implants and arthroplasty
1.15
article

Design modification and selection of improved stem design of the conical stem tibial implant for TAR using FE analysis and different MCDM methods

Rajesh Ghosh, Jyoti Jyoti
article en
2 citations

Abstract

The conical stem tibial design of total ankle replacement (TAR) has high implant-bone micromotion. This may lead to aseptic loosening which can be avoided by improving the tibial design. The objective was to propose the best stem design parameters to reduce implant-bone micromotion along with minimizing stress shielding using an integrated Finite Element-Multi Criteria Decision Making (FE-MCDM) approach. FE models of implanted tibia bones were prepared by changing the height of the stem, the diameter of the stem, and the slant of the stem. Weighted Aggregated Sum Product Assessment (WASPAS), Technique for Order of Preference by Similarities to Ideal Solution (TOPSIS), Evaluation based on Distance from Average Solution (EDAS), and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) MCDM techniques with equal weights for micromotion and stress shielding were considered. The micromotion and stress shielding were greater when the height of the stem was increased. Whereas, the increase in diameter and slant affected them marginally. The best-performing design was the Model with stem height 6 mm (diameter 6.4 mm and slant 4°) and after that was the Model with stem height 8 mm (diameter 6.4 mm and slant 4°), and then the Model with stem height 10 mm (diameter 6.4 mm and slant 4°). The height of the stem is the most important stem design parameter. Shorter height, moderate thickness, and moderate slanting stem designs are recommended.

Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in MedicineVol. 238(8-9)
Indian Institute of Technology Mandi (IN)
Openalex Percentile: Top 21%
Orthopaedic implants and arthroplasty
1.15
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