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Quantification of arthritic bone degradation by analysis of 3D micro-computed tomography data

The use of animal models of arthritis is a key component in the evaluation of therapeutic strategies against the human disease rheumatoid arthritis (RA). Here we present quantitative measurements of bone degradation characterised by the cortical bone profile using glucose-6-phosphate isomerase (G6PI...

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Autores principales: Svensson, Carl-Magnus, Hoffmann, Bianca, Irmler, Ingo M., Straßburger, Maria, Figge, Marc Thilo, Saluz, Hans Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5349516/
https://www.ncbi.nlm.nih.gov/pubmed/28290525
http://dx.doi.org/10.1038/srep44434
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author Svensson, Carl-Magnus
Hoffmann, Bianca
Irmler, Ingo M.
Straßburger, Maria
Figge, Marc Thilo
Saluz, Hans Peter
author_facet Svensson, Carl-Magnus
Hoffmann, Bianca
Irmler, Ingo M.
Straßburger, Maria
Figge, Marc Thilo
Saluz, Hans Peter
author_sort Svensson, Carl-Magnus
collection PubMed
description The use of animal models of arthritis is a key component in the evaluation of therapeutic strategies against the human disease rheumatoid arthritis (RA). Here we present quantitative measurements of bone degradation characterised by the cortical bone profile using glucose-6-phosphate isomerase (G6PI) induced arthritis. We applied micro-computed tomography (μCT) during three arthritis experiments and one control experiment to image the metatarsals of the hind paws and to investigate the effect of experimental arthritis on their cortical bone profile. For measurements of the cortical profile we automatically identified slices that are orthogonal to individual metatarsals, thereby making the measurements independent of animal placement in the scanner. We measured the average cortical thickness index (CTI) of the metatarsals, as well as the thickness changes along the metatarsal. In this study we introduced the cortical thickness gradient (CTG) as a new measure and we investigated how arthritis affects this measure. We found that in general both CTI and CTG are able to quantify arthritic progression, whilst CTG was found to be the more sensitive measure.
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spelling pubmed-53495162017-03-17 Quantification of arthritic bone degradation by analysis of 3D micro-computed tomography data Svensson, Carl-Magnus Hoffmann, Bianca Irmler, Ingo M. Straßburger, Maria Figge, Marc Thilo Saluz, Hans Peter Sci Rep Article The use of animal models of arthritis is a key component in the evaluation of therapeutic strategies against the human disease rheumatoid arthritis (RA). Here we present quantitative measurements of bone degradation characterised by the cortical bone profile using glucose-6-phosphate isomerase (G6PI) induced arthritis. We applied micro-computed tomography (μCT) during three arthritis experiments and one control experiment to image the metatarsals of the hind paws and to investigate the effect of experimental arthritis on their cortical bone profile. For measurements of the cortical profile we automatically identified slices that are orthogonal to individual metatarsals, thereby making the measurements independent of animal placement in the scanner. We measured the average cortical thickness index (CTI) of the metatarsals, as well as the thickness changes along the metatarsal. In this study we introduced the cortical thickness gradient (CTG) as a new measure and we investigated how arthritis affects this measure. We found that in general both CTI and CTG are able to quantify arthritic progression, whilst CTG was found to be the more sensitive measure. Nature Publishing Group 2017-03-14 /pmc/articles/PMC5349516/ /pubmed/28290525 http://dx.doi.org/10.1038/srep44434 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Svensson, Carl-Magnus
Hoffmann, Bianca
Irmler, Ingo M.
Straßburger, Maria
Figge, Marc Thilo
Saluz, Hans Peter
Quantification of arthritic bone degradation by analysis of 3D micro-computed tomography data
title Quantification of arthritic bone degradation by analysis of 3D micro-computed tomography data
title_full Quantification of arthritic bone degradation by analysis of 3D micro-computed tomography data
title_fullStr Quantification of arthritic bone degradation by analysis of 3D micro-computed tomography data
title_full_unstemmed Quantification of arthritic bone degradation by analysis of 3D micro-computed tomography data
title_short Quantification of arthritic bone degradation by analysis of 3D micro-computed tomography data
title_sort quantification of arthritic bone degradation by analysis of 3d micro-computed tomography data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5349516/
https://www.ncbi.nlm.nih.gov/pubmed/28290525
http://dx.doi.org/10.1038/srep44434
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