Patient-specific finite element modeling for fracture risk prediction in a canine model of osteosarcoma.

ABSTRACT:

Background

In cancer patients with bone tumors, pathological fractures are a major concern. Making treatment decision for these patients requires an evaluation of fracture risk, which is currently based on semi-qualitative criteria that lack patient-specificity. Because of this, there exists a need for quantitative fracture risk prediction tailored to the patient's individual bone geometry. To address this need, this study aims to develop and validate a finite element (FE) technique that can be used to create patient-specific models and more accurately identify fracture risk. Model validation was performed using canine radii.

Methods

Radii were harvested from eight canines euthanized for reasons unrelated to the study. A semicircular osteotomy was made in the distal portion

SUBMITTER: Brekhus C 

PROVIDER: S-EPMC10777249 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature