3D analysis of the osteonal and interstitial tissue in human radii cortical bone.


Journal

Bone
ISSN: 1873-2763
Titre abrégé: Bone
Pays: United States
ID NLM: 8504048

Informations de publication

Date de publication:
10 2019
Historique:
received: 28 01 2019
revised: 23 07 2019
accepted: 24 07 2019
pubmed: 31 7 2019
medline: 17 9 2020
entrez: 31 7 2019
Statut: ppublish

Résumé

Human cortical bone has a complex hierarchical structure that is periodically remodelled throughout a lifetime. This microstructure dictates the mechanical response of the tissue under a critical load. If only some structural features, such as the different porosities observed in bone, are primarily studied, then investigations may not fully consider the osteonal systems in three-dimensions (3D). Currently, it is difficult to differentiate osteons from interstitial tissue using standard 3D characterization methods. Synchrotron radiation micro-computed tomography (SR-μCT) in the phase contrast mode is a promising method for the investigation of osteons. In the current study, SR-μCT imaging was performed on cortical bone samples harvested from eight human radii (female, 50-91 y.o.). The images were segmented to identify Haversian canals, osteocyte lacunae, micro-cracks, as well as osteons. The significant correlation between osteonal and Haversian canal volume fraction highlights the role of the canals as sites where bone remodelling is initiated. The results showed that osteocyte lacunae morphometric parameters depend on their distance to cement lines, strongly suggesting the evolution of biological activity from the beginning to the end of the remodelling process. Thus, the current study provides new data on 3D osteonal morphometric parameters and their relationships with other structural features in humans.

Identifiants

pubmed: 31362068
pii: S8756-3282(19)30302-3
doi: 10.1016/j.bone.2019.07.028
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

526-536

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Rémy Gauthier (R)

Univ Lyon, Université Claude Bernard Lyon 1, IFSTTAR, LBMC UMR_T9406, F69622 Lyon, France; Univ Lyon, CNRS UMR 5220, Inserm U1206, INSA Lyon, Université Claude Bernard Lyon 1, Creatis, F69621 Villeurbanne Cedex, France.

Hélène Follet (H)

Univ Lyon, Université Claude Bernard Lyon 1, INSERM, LYOS UMR1033, F69008 Lyon, France.

Cécile Olivier (C)

Univ Lyon, CNRS UMR 5220, Inserm U1206, INSA Lyon, Université Claude Bernard Lyon 1, Creatis, F69621 Villeurbanne Cedex, France.

David Mitton (D)

Univ Lyon, Université Claude Bernard Lyon 1, IFSTTAR, LBMC UMR_T9406, F69622 Lyon, France.

Françoise Peyrin (F)

Univ Lyon, CNRS UMR 5220, Inserm U1206, INSA Lyon, Université Claude Bernard Lyon 1, Creatis, F69621 Villeurbanne Cedex, France. Electronic address: peyrin@esrf.fr.

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Classifications MeSH