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New imaging tools for mouse models of osteoarthritis
Author(s) -
Sabine Drevet,
Bertrand Favier,
Bernard Lardy,
G. Gavazzi,
Emmanuel Brun
Publication year - 2022
Publication title -
geroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.883
H-Index - 63
eISSN - 2509-2715
pISSN - 2509-2723
DOI - 10.1007/s11357-022-00525-3
Subject(s) - osteoarthritis , positron emission tomography , medicine , magnetic resonance imaging , cartilage , articular cartilage , radiology , medical imaging , imaging technology , pathology , anatomy , alternative medicine
Osteoarthritis (OA) is a chronic degenerative disease characterized by a disruption of articular joint cartilage homeostasis. Mice are the most commonly used models to study OA. Despite recent reviews, there is still a lack of knowledge about the new development in imaging techniques. Two types of modalities are complementary: those that assess structural changes in joint tissues and those that assess metabolism and disease activity. Micro MRI is the most important imaging tool for OA research. Automated methodologies for assessing periarticular bone morphology with micro-CT have been developed allowing quantitative assessment of tibial surface that may be representative of the whole OA joint changes. Phase-contrast X-ray imaging provides in a single examination a high image precision with good differentiation between all anatomical elements of the knee joint (soft tissue and bone). Positron emission tomography, photoacoustic imaging, and fluorescence reflectance imaging provide molecular and functional data. To conclude, innovative imaging technologies could be an alternative to conventional histology with greater resolution and more efficiency in both morphological analysis and metabolism follow-up. There is a logic of permanent adjustment between innovations, 3R rule, and scientific perspectives. New imaging associated with artificial intelligence may add to human clinical practice allowing not only diagnosis but also prediction of disease progression to personalized medicine.

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