New imaging tools for mouse models of osteoarthritis

S Drevet1,2, B Favier3, B Lardy3,4

  • 1Univ. Grenoble Alpes, CNRS, UMR 5525, VetAgro Sup, Grenoble INP, TIMC, 38000, Grenoble, France. sdrevet@chu-grenoble.fr.

Geroscience
|February 7, 2022
PubMed

Insights

New imaging techniques offer advanced insights into osteoarthritis (OA) progression in mouse models. These methods provide detailed structural and metabolic data, improving OA research and potentially personalizing future clinical treatments.

Area of Science:

  • Orthopedics and Imaging Science
  • Biomedical Engineering
  • Osteoarthritis Research

Background:

  • Osteoarthritis (OA) is a degenerative joint disease impacting cartilage homeostasis.
  • Mice are the primary animal models for OA research.
  • Current knowledge gaps exist regarding advanced imaging techniques for OA study.

Purpose of the Study:

  • To review novel imaging modalities for osteoarthritis research.
  • To highlight advancements in structural and metabolic assessment of OA.
  • To explore the integration of new imaging with artificial intelligence for clinical application.

Main Methods:

  • Micro MRI for structural assessment of joint tissues.
  • Micro-CT for quantitative analysis of periarticular bone morphology.
  • Phase-contrast X-ray imaging for high-resolution soft tissue and bone differentiation.
  • Molecular imaging techniques including Positron Emission Tomography (PET), photoacoustic imaging, and fluorescence reflectance imaging.

Main Results:

  • Micro-CT enables automated, quantitative assessment of tibial surface changes in OA.
  • Phase-contrast X-ray imaging offers precise differentiation of knee joint components.
  • Molecular imaging provides crucial functional and metabolic data.
  • Innovative imaging surpasses conventional histology in resolution and efficiency.

Conclusions:

  • Advanced imaging technologies offer superior morphological and metabolic evaluation for OA research.
  • These innovations align with the 3R principles (Replacement, Reduction, Refinement) in animal research.
  • Integration of AI with novel imaging promises enhanced OA diagnosis, prognosis, and personalized medicine.

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