Influence of loading conditions in finite element analysis assessed by HR-pQCT on ex vivo fracture prediction.
Bone strength
Forward fall
Fracture prediction
HR–pQCT
Radius
Journal
Bone
ISSN: 1873-2763
Titre abrégé: Bone
Pays: United States
ID NLM: 8504048
Informations de publication
Date de publication:
01 2022
01 2022
Historique:
received:
19
04
2021
revised:
15
09
2021
accepted:
15
09
2021
pubmed:
22
9
2021
medline:
12
3
2022
entrez:
21
9
2021
Statut:
ppublish
Résumé
Many fractures occur in individuals with normal areal Bone Mineral Density (aBMD) measured by Dual X-ray Absorptiometry (DXA). High Resolution peripheral Quantitative Computed Tomography (HR-pQCT) allows for non-invasive evaluation of bone stiffness and strength through micro finite element (μFE) analysis at the tibia and radius. These μFE outcomes are strongly associated with fragility fractures but do not provide clear enhancement compared with DXA measurements. The objective of this study was to establish whether a change in loading conditions in standard μFE analysis assessed by HR-pQCT enhance the discrimination of low-trauma fractured radii (n = 11) from non-fractured radii (n = 16) obtained experimentally throughout a mechanical test reproducing a forward fall. Micro finite element models were created using HR-pQCT images, and linear analyses were performed using four different types of loading conditions (axial, non-axial with two orientations and torsion). No significant differences were found between the failure load assessed with the axial and non-axial models. The different loading conditions tested presented the same area under the receiver operating characteristic (ROC) curves of 0.79 when classifying radius fractures with an accuracy of 81.5%. In comparison, the area under the curve (AUC) is 0.77 from DXA-derived ultra-distal aBMD of the forearm with an accuracy of 85.2%. These results suggest that the restricted HR-pQCT scanned region seems not sensitive to loading conditions for the prediction of radius fracture risk based on ex vivo experiments (n = 27).
Identifiants
pubmed: 34547523
pii: S8756-3282(21)00372-0
doi: 10.1016/j.bone.2021.116206
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
116206Informations de copyright
Copyright © 2021 Elsevier Inc. All rights reserved.