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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...

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Detalles Bibliográficos
Autores principales: Wiinholt, Alexander, Gerke, Oke, Dalaei, Farima, Bučan, Amar, Madsen, Christoffer Bing, Sørensen, Jens Ahm
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
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
Descripción
Sumario: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.