The University of Southampton
University of Southampton Institutional Repository

Quantifying intracortical bone microstructure: a critical appraisal of 2D and 3D approaches for assessing vascular canals and osteocyte lacunae

Quantifying intracortical bone microstructure: a critical appraisal of 2D and 3D approaches for assessing vascular canals and osteocyte lacunae
Quantifying intracortical bone microstructure: a critical appraisal of 2D and 3D approaches for assessing vascular canals and osteocyte lacunae
Describing and quantifying vascular canal orientation and volume of osteocyte lacunae in bone is important in studies of bone growth, mechanics, health and disease. It is also an important element in analysing fossil bone in palaeohistology, key to understanding the growth, life, and death of extinct animals. Often, bone microstructure is studied using two-dimensional (2D) sections, and three-dimensional (3D) shape and orientation of structures are estimated by modelling the structures using idealised geometries based on information from their cross sections. However, these methods rely on structures meeting strict geometric assumptions. Recently, 3D methods have been proposed which could provide a more accurate and robust approach to bone histology, but these have not been tested in direct comparison with their 2D counterparts in terms of accuracy and sensitivity to deviations from model assumptions. We compared 2D and 3D methodologies for estimating key microstructural traits using a combination of experimental and idealised test datasets. We generated populations of cylinders (canals) and ellipsoids (osteocyte lacunae), varying the cross-sectional aspect ratios of cylinders and orientation of ellipsoids to test sensitivity to deviations from cylindricality and longitudinal orientation, respectively. Using published methods, based on 2D sections and 3D datasets, we estimated cylinder orientation and ellipsoid volume. We applied the same methods to six CT datasets of duck cortical bone, using the full volumes for 3D measurements and single CT slices to represent 2D sections. Using in silico test datasets that did deviate from ideal cylinders and ellipsoids resulted in inaccurate estimates of cylinder or canal orientation, and reduced accuracy in estimates of ellipsoid and lacunar volume. These results highlight the importance of using appropriate 3D imaging and quantitative methods for quantifying volume and orientation of 3D structures and offer approaches to significantly enhance our understanding of bone physiology based on accurate measures for bone microstructures.
0021-8782
Williams, Katherine Anne
bf87a040-9a95-4c4e-a078-d289404b7523
Gostling, Neil J.
4840aa40-cb6c-4112-a0b9-694a869523fc
Steer, Joshua
19fab79c-1991-4762-85da-abda7ce82ab1
Oreffo, Richard
ff9fff72-6855-4d0f-bfb2-311d0e8f3778
Schneider, Philipp
a810f925-4808-44e4-8a4a-a51586f9d7ad
Williams, Katherine Anne
bf87a040-9a95-4c4e-a078-d289404b7523
Gostling, Neil J.
4840aa40-cb6c-4112-a0b9-694a869523fc
Steer, Joshua
19fab79c-1991-4762-85da-abda7ce82ab1
Oreffo, Richard
ff9fff72-6855-4d0f-bfb2-311d0e8f3778
Schneider, Philipp
a810f925-4808-44e4-8a4a-a51586f9d7ad

Williams, Katherine Anne, Gostling, Neil J., Steer, Joshua, Oreffo, Richard and Schneider, Philipp (2020) Quantifying intracortical bone microstructure: a critical appraisal of 2D and 3D approaches for assessing vascular canals and osteocyte lacunae. Journal of Anatomy. (In Press)

Record type: Article

Abstract

Describing and quantifying vascular canal orientation and volume of osteocyte lacunae in bone is important in studies of bone growth, mechanics, health and disease. It is also an important element in analysing fossil bone in palaeohistology, key to understanding the growth, life, and death of extinct animals. Often, bone microstructure is studied using two-dimensional (2D) sections, and three-dimensional (3D) shape and orientation of structures are estimated by modelling the structures using idealised geometries based on information from their cross sections. However, these methods rely on structures meeting strict geometric assumptions. Recently, 3D methods have been proposed which could provide a more accurate and robust approach to bone histology, but these have not been tested in direct comparison with their 2D counterparts in terms of accuracy and sensitivity to deviations from model assumptions. We compared 2D and 3D methodologies for estimating key microstructural traits using a combination of experimental and idealised test datasets. We generated populations of cylinders (canals) and ellipsoids (osteocyte lacunae), varying the cross-sectional aspect ratios of cylinders and orientation of ellipsoids to test sensitivity to deviations from cylindricality and longitudinal orientation, respectively. Using published methods, based on 2D sections and 3D datasets, we estimated cylinder orientation and ellipsoid volume. We applied the same methods to six CT datasets of duck cortical bone, using the full volumes for 3D measurements and single CT slices to represent 2D sections. Using in silico test datasets that did deviate from ideal cylinders and ellipsoids resulted in inaccurate estimates of cylinder or canal orientation, and reduced accuracy in estimates of ellipsoid and lacunar volume. These results highlight the importance of using appropriate 3D imaging and quantitative methods for quantifying volume and orientation of 3D structures and offer approaches to significantly enhance our understanding of bone physiology based on accurate measures for bone microstructures.

Text
JANAT-2020-0037_accepted_version_combined - Accepted Manuscript
Restricted to Repository staff only until 17 September 2021.
Request a copy

More information

Accepted/In Press date: 17 September 2020

Identifiers

Local EPrints ID: 444070
URI: http://eprints.soton.ac.uk/id/eprint/444070
ISSN: 0021-8782
PURE UUID: 9ae7d11d-d09d-4745-8795-c57a5def22f5
ORCID for Katherine Anne Williams: ORCID iD orcid.org/0000-0001-6827-9261
ORCID for Neil J. Gostling: ORCID iD orcid.org/0000-0002-5960-7769
ORCID for Joshua Steer: ORCID iD orcid.org/0000-0002-6288-1347
ORCID for Richard Oreffo: ORCID iD orcid.org/0000-0001-5995-6726
ORCID for Philipp Schneider: ORCID iD orcid.org/0000-0001-7499-3576

Catalogue record

Date deposited: 24 Sep 2020 16:31
Last modified: 18 Feb 2021 17:23

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×