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Updated: Jul 12, 2025

Tissue Collection and RNA Extraction from the Human Osteoarthritic Knee Joint
Published on: July 22, 2021
Osteoarthritis year in review 2023: Imaging
Mohamed Jarraya1, Ali Guermazi2, Frank W Roemer3
1Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Recent osteoarthritis (OA) imaging research heavily features artificial intelligence (AI). Magnetic resonance imaging (MRI) is key for knee OA, but AI generalizability remains a challenge, with no pharmacologic trials using imaging outcomes yet published.
Area of Science:
- Orthopedics
- Radiology
- Biomedical Imaging
Background:
- Osteoarthritis (OA) is a degenerative joint disease requiring advanced imaging for research and clinical trials.
- In vivo imaging plays a crucial role in understanding OA progression and evaluating treatment efficacy.
Purpose of the Study:
- To provide a narrative review of original research in in vivo osteoarthritis imaging.
- To cover the period from January 1, 2022, to April 1, 2023.
Main Methods:
- Conducted a PubMed search using terms related to OA imaging, including MRI, X-ray, CT, AI, deep learning, and machine learning.
- Focused on in vivo human studies, excluding ex vivo and animal research.
- Organized findings by anatomical structure, imaging modality, AI applications, clinical trial challenges, and biomarkers.
Main Results:
- Identified 249 relevant publications on in vivo human OA imaging.
- The knee joint (61%) and MRI (42%) were the most studied anatomical area and modality.
- Artificial intelligence (AI) use is increasing, but limited generalizability hinders widespread application.
- No pharmacologic clinical trials published during this period utilized imaging data as outcome measures.
Conclusions:
- Artificial intelligence (AI) is increasingly central to osteoarthritis (OA) imaging research.
- Magnetic resonance imaging (MRI) remains the primary modality for OA assessment, with expanding roles in outcome prediction and classification.
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