Three-dimensional morphometric analysis of cranial sutures - A novel approach to quantitative analysis.

Computed tomography Cranial suture Image analysis Linear interdigitation index Morphology

Journal

Bone reports
ISSN: 2352-1872
Titre abrégé: Bone Rep
Pays: United States
ID NLM: 101646176

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 29 05 2023
revised: 16 09 2023
accepted: 19 09 2023
medline: 28 9 2023
pubmed: 28 9 2023
entrez: 28 9 2023
Statut: epublish

Résumé

Differences in complexity of cranial suture forms on the endocranial (i.e., deep) and ectocranial (i.e., superficial) skull surfaces have been noted in the literature, indicating through thickness three-dimensional (3D) suture variability depending on the chosen section and necessity for considering the complete 3D structure in many cases. This study aims to evaluate the variability of suture morphology through the skull thickness using a rat model, and to provide more robust metrics and methodologies to analyze suture morphology. X-ray micro-computed tomographic (μCT) imaging methods were utilized in order to provide internal structure information. Methods were developed to isolate and analyze sutures widths and linear interdigitation index (LII) values on each adjacent offset transverse plane of the μCT datasets. LII was defined as the curved path length of the suture divided by the linear length between the ends of the region of interest. Scans were obtained on 15 female rats at ages of 16, 20, and 24 weeks ( 3D variability in local suture widths within individuals, as well as through thickness variabilities in planar widths and LII was observed. Kruskal-Wallis tests for bulk through thickness averaged suture widths and LII were found to be statistically insignificant, despite clear geometric differences through suture thicknesses. Although the bulk morphometric variability between age groups was found to be statistically insignificant, the 3D variability within individuals point to the importance of analyzing suture form using 3D metrics when studying suture development, response to functional activity, or morphometry in general.

Identifiants

pubmed: 37767331
doi: 10.1016/j.bonr.2023.101714
pii: S2352-1872(23)00062-1
pmc: PMC10520544
doi:

Types de publication

Journal Article

Langues

eng

Pagination

101714

Informations de copyright

© 2023 The Authors.

Déclaration de conflit d'intérêts

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.

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Auteurs

Ross Remesz (R)

Department of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada.

Tsolmonbaatar Khurelbaatar (T)

Department of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada.

Karyne N Rabey (KN)

Division of Anatomy, Department of Surgery, University of Alberta, Edmonton, AB, Canada.
Department of Anthropology, University of Alberta, Edmonton, AB, Canada.

Michael R Doschak (MR)

Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, AB, Canada.

Dan L Romanyk (DL)

Department of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada.
School of Dentistry, University of Alberta, Edmonton, AB, Canada.

Classifications MeSH