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Quantification of tissue volume in the hindlimb of mice using microcomputed tomography images and analysing software
When studying illnesses that cause disturbance in volume such as lymphedema, reliable quantification of tissue volume is important. Lymphedema results in swelling and enlargement of extremities and can be both physically and psychologically stressful to the patient. Experiments in rodent models prov...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7237686/ https://www.ncbi.nlm.nih.gov/pubmed/32427873 http://dx.doi.org/10.1038/s41598-020-65214-7 |
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author | Wiinholt, Alexander Gerke, Oke Dalaei, Farima Bučan, Amar Madsen, Christoffer Bing Sørensen, Jens Ahm |
author_facet | Wiinholt, Alexander Gerke, Oke Dalaei, Farima Bučan, Amar Madsen, Christoffer Bing Sørensen, Jens Ahm |
author_sort | Wiinholt, Alexander |
collection | PubMed |
description | When studying illnesses that cause disturbance in volume such as lymphedema, reliable quantification of tissue volume is important. Lymphedema results in swelling and enlargement of extremities and can be both physically and psychologically stressful to the patient. Experiments in rodent models provide a cost-effective research platform and are important for preclinical research on lymphedema. When performing such research, it can be crucial to measure the changes in tissue volume. Researchers must ensure that the risk of measurement error, when measuring the tissue volume, is as low as possible. The main goal of this article was to perform a comprehensive examination of the intra- and interrater agreement and hereby assess the risk of measurement error when using microcomputed tomography (µCT) images to measure hindlimb volume. We examined the agreement between four raters with different levels of prior experience and found that the risk of measurement error is extremely low when using this method. The main limitation of this method is that it is relatively expensive and time-consuming. The main advantages of this method are that it is easily learned and that it has a high intra- and interrater agreement, even for raters with no prior measuring experience. |
format | Online Article Text |
id | pubmed-7237686 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72376862020-05-29 Quantification of tissue volume in the hindlimb of mice using microcomputed tomography images and analysing software Wiinholt, Alexander Gerke, Oke Dalaei, Farima Bučan, Amar Madsen, Christoffer Bing Sørensen, Jens Ahm Sci Rep Article When studying illnesses that cause disturbance in volume such as lymphedema, reliable quantification of tissue volume is important. Lymphedema results in swelling and enlargement of extremities and can be both physically and psychologically stressful to the patient. Experiments in rodent models provide a cost-effective research platform and are important for preclinical research on lymphedema. When performing such research, it can be crucial to measure the changes in tissue volume. Researchers must ensure that the risk of measurement error, when measuring the tissue volume, is as low as possible. The main goal of this article was to perform a comprehensive examination of the intra- and interrater agreement and hereby assess the risk of measurement error when using microcomputed tomography (µCT) images to measure hindlimb volume. We examined the agreement between four raters with different levels of prior experience and found that the risk of measurement error is extremely low when using this method. The main limitation of this method is that it is relatively expensive and time-consuming. The main advantages of this method are that it is easily learned and that it has a high intra- and interrater agreement, even for raters with no prior measuring experience. Nature Publishing Group UK 2020-05-19 /pmc/articles/PMC7237686/ /pubmed/32427873 http://dx.doi.org/10.1038/s41598-020-65214-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Wiinholt, Alexander Gerke, Oke Dalaei, Farima Bučan, Amar Madsen, Christoffer Bing Sørensen, Jens Ahm Quantification of tissue volume in the hindlimb of mice using microcomputed tomography images and analysing software |
title | Quantification of tissue volume in the hindlimb of mice using microcomputed tomography images and analysing software |
title_full | Quantification of tissue volume in the hindlimb of mice using microcomputed tomography images and analysing software |
title_fullStr | Quantification of tissue volume in the hindlimb of mice using microcomputed tomography images and analysing software |
title_full_unstemmed | Quantification of tissue volume in the hindlimb of mice using microcomputed tomography images and analysing software |
title_short | Quantification of tissue volume in the hindlimb of mice using microcomputed tomography images and analysing software |
title_sort | quantification of tissue volume in the hindlimb of mice using microcomputed tomography images and analysing software |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7237686/ https://www.ncbi.nlm.nih.gov/pubmed/32427873 http://dx.doi.org/10.1038/s41598-020-65214-7 |
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