Literature DB >> 27107509

Refine, reduce, replace: Imaging of fibrosis and arthritis in animal models.

M Marenzana1, G Vande Velde2.   

Abstract

Non-invasive imaging has great potential to contribute to the 'Three R's' principles for more ethical use of experimental animals. It enables repetitive monitoring of disease progression and measurement of quantitative biomarkers that report on disease progression and therapy efficacy in the same animal, thereby reducing manifold the number of animals needed for in vivo studies whilst advancing our knowledge into the pathophysiology of these diseases. This article reviews applications of non-invasive imaging in the field of fibrosis and arthritis research. It provides evidence for the viability of this approach not only for ethical reasons (reducing numbers and suffering in research animals, according to the 3R principles) but also for accelerating experimental output and making it more translational. The emphasis is on promising developments which will help improving throughput by reducing experiment length and size as well as human resources for data analysis, therefore encouraging a wider spreading of novel imaging technologies.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Automated image analysis; Biomarkers; Bleomycin; High-throughput imaging; Lung fibrosis; Magnetic resonance imaging; Micro-computed tomography; Osteoarthritis; Quantitative imaging; Rheumatoid arthritis

Mesh:

Substances:

Year:  2016        PMID: 27107509     DOI: 10.1016/j.berh.2016.02.001

Source DB:  PubMed          Journal:  Best Pract Res Clin Rheumatol        ISSN: 1521-6942            Impact factor:   4.098


  3 in total

Review 1.  Mouse Models of Osteoarthritis: A Summary of Models and Outcomes Assessment.

Authors:  Sabine Drevet; Bertrand Favier; Emmanuel Brun; Gaëtan Gavazzi; Bernard Lardy
Journal:  Comp Med       Date:  2022-01-05       Impact factor: 1.565

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

Authors:  Carl-Magnus Svensson; Bianca Hoffmann; Ingo M Irmler; Maria Straßburger; Marc Thilo Figge; Hans Peter Saluz
Journal:  Sci Rep       Date:  2017-03-14       Impact factor: 4.379

3.  Radiological features of experimental staphylococcal septic arthritis by micro computed tomography scan.

Authors:  Farah Fatima; Ying Fei; Abukar Ali; Majd Mohammad; Malin C Erlandsson; Maria I Bokarewa; Muhammad Nawaz; Hadi Valadi; Manli Na; Tao Jin
Journal:  PLoS One       Date:  2017-02-02       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.