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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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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. |
format | Online Article Text |
id | pubmed-5349516 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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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