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Stress-shielding resistant design of custom pelvic prostheses using lattice-based topology optimization.
- Source :
-
Medical engineering & physics [Med Eng Phys] 2023 Nov; Vol. 121, pp. 104012. Date of Electronic Publication: 2023 Jun 25. - Publication Year :
- 2023
-
Abstract
- Endoprosthetic reconstruction of the pelvic bone using 3D-printed, custom-made implants has delivered early load-bearing ability and good functional outcomes in the short term to individuals with pelvic sarcoma. However, excessive stress-shielding and subsequent resorption of peri‑prosthetic bone can imperil the long-term stability of such implants. To evaluate the stress-shielding performance of pelvic prostheses, we developed a sequential modeling scheme using subject-specific finite element models of the pelvic bone-implant complex and personalized neuromusculoskeletal models for pre- and post-surgery walking. A new topology optimization approach is introduced for the stress-shielding resistant (SSR) design of custom pelvic prostheses, which uses 3D-printable porous lattice structures. The SSR optimization was applied to a typical pelvic prosthesis to reconstruct a type II+III bone resection. The stress-shielding performance of the optimized implant based on the SSR approach was compared against the conventional optimization. The volume of the peri‑prosthetic bone predicted to undergo resorption post-surgery decreased from 44 to 18%. This improvement in stress-shielding resistance was achieved without compromising the structural integrity of the prosthesis. The SSR design approach has the potential to improve the long-term stability of custom-made pelvic prostheses.<br />Competing Interests: Declaration of Competing Interest The authors state no conflict of interest for the study object of the manuscript.<br /> (Copyright © 2023. Published by Elsevier Ltd.)
Details
- Language :
- English
- ISSN :
- 1873-4030
- Volume :
- 121
- Database :
- MEDLINE
- Journal :
- Medical engineering & physics
- Publication Type :
- Academic Journal
- Accession number :
- 37985018
- Full Text :
- https://doi.org/10.1016/j.medengphy.2023.104012