Validation of a patient-specific finite element analysis framework for identification of growing rod-failure regions in early onset scoliosis patients.
Biomechanics
Early onset scoliosis
Finite element analysis
Growing rods
Patient-specific modeling
Rod failures
Journal
Spine deformity
ISSN: 2212-1358
Titre abrégé: Spine Deform
Pays: England
ID NLM: 101603979
Informations de publication
Date de publication:
27 Mar 2024
27 Mar 2024
Historique:
received:
01
08
2023
accepted:
14
02
2024
medline:
27
3
2024
pubmed:
27
3
2024
entrez:
27
3
2024
Statut:
aheadofprint
Résumé
Growing rods are the gold-standard for treatment of early onset scoliosis (EOS). However, these implanted rods experience frequent fractures, requiring additional surgery. A recent study by the U.S. Food and Drug Administration (FDA) identified four common rod fracture locations. Leveraging this data, Agarwal et al. were able to correlate these fractures to high-stress regions using a novel finite element analysis (FEA) framework for one patient. The current study aims to further validate this framework through FEA modeling extended to multiple patients. Three patient-specific FEA models were developed to match the pre-operative patient data taken from both registry and biplanar radiographs. The surgical procedure was then simulated to match the post-operative deformity. Body weight and flexion bending (1 Nm) loads were then applied and the output stress data on the rods were analyzed. Radiographic data showed fracture locations at the mid-construct, adjacent to the distal and tandem connector across the patients. Stress analysis from the FEA showed these failure locations matched local high-stress regions for all fractures observed. These results qualitatively validate the efficacy of the FEA framework by showing a decent correlation between localized high-stress regions and the actual fracture sites in the patients. This patient-specific, in-silico framework has huge potential to be used as a surgical tool to predict sites prone to fracture in growing rod implants. This prospective information would therefore be vital for surgical planning, besides helping optimize implant design for reducing rod failures.
Identifiants
pubmed: 38536653
doi: 10.1007/s43390-024-00846-7
pii: 10.1007/s43390-024-00846-7
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2024. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.
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