ASME V&V40 finite element analysis in silico lumbar spinal fusion implant medical device testing model credibility patient-specific topology optimisation

Journal

Frontiers in bioengineering and biotechnology
ISSN: 2296-4185
Titre abrégé: Front Bioeng Biotechnol
Pays: Switzerland
ID NLM: 101632513

Informations de publication

Date de publication:
2024
Historique:
received: 01 12 2023
accepted: 07 08 2024
medline: 25 9 2024
pubmed: 25 9 2024
entrez: 25 9 2024
Statut: epublish

Résumé

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,

Identifiants

pubmed: 39318669
doi: 10.3389/fbioe.2024.1347961
pii: 1347961
pmc: PMC11420557
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1347961

Informations de copyright

Copyright © 2024 Smit, Aage, Haschtmann, Ferguson and Helgason.

Déclaration de conflit d'intérêts

The authors declare that they have filed a patent application based on the topology optimization method that is used in this work.

Auteurs

Thijs Smit (T)

Institute for Biomechanics, ETH Zürich, Zürich, Switzerland.

Niels Aage (N)

Solid Mechanics, Technical University of Denmark, Kongens Lyngby, Denmark.

Daniel Haschtmann (D)

Department of Spine Surgery and Neurosurgery, Schulthess Klinik, Zürich, Switzerland.

Stephen J Ferguson (SJ)

Institute for Biomechanics, ETH Zürich, Zürich, Switzerland.

Benedikt Helgason (B)

Institute for Biomechanics, ETH Zürich, Zürich, Switzerland.

Classifications MeSH