Can guided wave ultrasound predict bone mechanical properties at the femoral neck in patients undergoing hip arthroplasty?


Journal

Journal of the mechanical behavior of biomedical materials
ISSN: 1878-0180
Titre abrégé: J Mech Behav Biomed Mater
Pays: Netherlands
ID NLM: 101322406

Informations de publication

Date de publication:
12 2022
Historique:
received: 26 06 2022
revised: 30 08 2022
accepted: 16 09 2022
medline: 23 10 2023
pubmed: 17 10 2022
entrez: 16 10 2022
Statut: ppublish

Résumé

The bone quality of patients undergoing hip replacement surgery is poorly predicted by radiographs alone. With better bone quality information available to a surgeon, the operation can be performed more safely. The aim of this study was to investigate whether ultrasound signals of cortical bone at peripheral sites such as the tibia and radius can be used to predict the compressive mechanical properties of cortical bone at the femoral neck. We recruited 19 patients undergoing elective hip arthroplasty and assessed the radius and tibia of these patients with the Azalée guided wave ultrasound to estimate the porosity and thickness of the cortex. Excess bone tissues were collected from the femoral neck and the compressive mechanical properties of the cortex were characterised under a mechanical loading rig to determine stiffness, ultimate strength, and density. The correlations between the ultrasound measurements and mechanical properties were analysed using linear regression, Pearson correlation statistics, and multiple regression analysis. Cortical mechanical properties were weakly to moderately correlated with the ultrasound measurements at various sites (R

Identifiants

pubmed: 36244325
pii: S1751-6161(22)00373-3
doi: 10.1016/j.jmbbm.2022.105468
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

105468

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom

Informations de copyright

Copyright © 2022. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Sara Behforootan (S)

MSK Lab, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, UK. Electronic address: s.behforootan@imperial.ac.uk.

Madelaine Thorniley (M)

MSK Lab, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, UK.

Jean-Gabriel Minonzio (JG)

Escuela de Ingeniería Informática, Centro de Investigación y Desarrollo en Ingeniería en Salud, Universidad de Valparaíso, Valparaíso, Chile & Sorbonne Université, INSERM UMR S 1146, CNRS UMR 7371, Laboratoire d'Imagerie Biomédicale, Paris, France.

Oliver Boughton (O)

MSK Lab, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, UK.

Monil Karia (M)

MSK Lab, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, UK.

Rajarshi Bhattacharya (R)

Imperial College London NHS Trust, UK.

Ulrich Hansen (U)

Department of Mechanical Engineering, Faculty of Engineering, Imperial College London, UK.

Justin Cobb (J)

MSK Lab, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, UK.

Richard Abel (R)

MSK Lab, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, UK.

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Classifications MeSH