In silico medical device testing of anatomically and mechanically conforming patient-specific spinal fusion cages designed by full-scale topology optimisation
A full-scale topology optimisation formulation has been developed to automate the design of cages used in instrumented transforaminal lumbar interbody fusion. The method incorporates the mechanical response of the adjacent bone structures in the optimisation process, yielding patient-specific spinal fusion cages that both anatomically and mechanically conform to the patient, effectively mitigating subsidence risk compared to generic, off-the-shelf cages and patient-specific devices. In this study, <i>in silico</i> medical device testing on a cohort of seven patients was performed to investigate the effectiveness of the anatomically and mechanically conforming devices using titanium and PEEK implant materials. A median reduction in the subsidence risk by 89% for titanium and 94% for PEEK implant materials was demonstrated compared to an off-the-shelf implant. A median reduction of 75% was achieved for a PEEK implant material compared to an anatomically conforming implant. A credibility assessment of the computational model used to predict the subsidence risk was provided according to the ASME V&V40-2018 standard.
Authors
- Benedikt Helgason (ORCID: https://orcid.org/0000-0001-8324-2651)
- Niels Aage (ORCID: https://orcid.org/0000-0002-3042-0036)
- Thijs Smit (ORCID: https://orcid.org/0000-0002-4099-9029)
- Stephen J. Ferguson (ORCID: https://orcid.org/0000-0003-0650-5889)
- Daniel Haschtmann (ORCID: https://orcid.org/0000-0003-0437-8521)
Institutions
- ETH Zurich (CH)
- Institute for Biomedical Engineering (CH)
- Schulthess-Klinik (CH)
- Technical University of Denmark (DK)
Publication Details
- Journal
- Frontiers in Bioengineering and Biotechnology
- Published
- 2024-09-10
- DOI
- https://doi.org/10.3389/fbioe.2024.1347961
- Citations
- 4
- Primary Topic
- Manufacturing Process and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 1.40
Funders
- Horizon 2020 Framework Programme