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Updated: Jan 11, 2026

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Tissue Collection and RNA Extraction from the Human Osteoarthritic Knee Joint
Published on: July 22, 2021
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Osteoarthritis year in review 2025: Imaging.
Matthew S Harkey1, Anthony A Gatti2, Mylène P Jansen3
1Department of Kinesiology, Michigan State University, East Lansing, MI, USA.
Osteoarthritis and Cartilage
|November 15, 2025
Summary
Recent imaging studies highlight osteoarthritis as a multi-tissue inflammatory condition. Advances in ultrasound and AI-enhanced radiography offer new tools for early detection and targeted interventions.
Area of Science:
- Orthopedics and Musculoskeletal Imaging
- Biomedical Engineering
- Radiology
Background:
- Osteoarthritis (OA) is increasingly recognized as a complex disease affecting multiple joint structures.
- Inflammation is a key feature across various tissues involved in OA pathogenesis.
- Traditional imaging methods are evolving with new technologies for better OA assessment.
Purpose of the Study:
- To review recent advancements in imaging for osteoarthritis (OA).
- To explore how emerging methods and multi-tissue assessments aid in disease characterization, early detection, and intervention.
- To synthesize findings from studies focusing on effusion-synovitis, infrapatellar fat pad, muscle, subchondral bone, and subcutaneous fat.
Main Methods:
- A narrative review of imaging studies on osteoarthritis published between March 2024 and March 2025.
- Comprehensive literature search of PubMed, Embase, and CINAHL.
- Selection and synthesis of 26 representative studies organized by affected joint tissues.
Main Results:
- OA involves multiple joint structures with inflammation as a common factor.
- Muscle quality and local adiposity are identified as key imaging biomarkers.
- Ultrasound and AI-enhanced radiography show promise for scalable clinical use in OA.
- Imaging findings correlate with biomechanical factors like gait and loading patterns.
Conclusions:
- Imaging research in OA is expanding, integrating multi-tissue assessments.
- Advances in imaging methods enable earlier OA detection and more precise symptom assessment.
- New imaging insights support the development of targeted, structure-informed OA interventions.
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