Understanding how knee osteoarthritis progresses using MRI scans
Official title: Identifying determinants of rapid structural and/or clinical progression in knee osteoarthritis by quantitative assessment of structural features on radiographs
Funded at University of Arizona · NIH-10859277 · Data updated 2026-11-12
This study is looking at how certain changes in knee structure seen on MRI scans can help us understand why some people with knee osteoarthritis experience faster worsening of their condition, with the goal of improving treatments for those affected.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Arizona NIH-funded |
| Lab location | 1 site (Tucson, United States) |
| Project start | September 7, 2023 |
| Project end | June 30, 2025 |
| Funding year | 2023 |
| Award (this year) | $402,014 |
| NIH project number | 3R01AR080742-02S1 |
| Project ID | NIH-10859277 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with knee osteoarthritis who experience varying degrees of knee pain.
✕Less likely to help
Patients without a diagnosis of knee osteoarthritis or those with other unrelated joint conditions may not benefit from this research.
What this research studies
This research investigates the factors that contribute to the rapid progression of knee osteoarthritis (OA) by analyzing structural features visible on MRI scans. The study aims to identify specific patterns of knee pain and their relationship with various MRI-defined structural abnormalities over time. By leveraging advanced imaging techniques and machine learning, the researchers hope to enhance the screening process for clinical trials, ultimately leading to better treatment options for patients suffering from knee OA.
Why it matters
Potential benefit: If successful, this research could lead to improved screening methods for clinical trials, resulting in more effective treatments for knee osteoarthritis.
How similar studies have gone: Previous studies have shown promise in using MRI and machine learning to understand knee osteoarthritis, suggesting that this approach could yield valuable insights.
Where this research is happening
-
University of Arizona
Tucson, United States Active
Researchers
- Principal investigator: Kwoh, C Kent — University of Arizona
- Study coordinator: Kwoh, C Kent
Related research
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Determinants of rapid knee osteoarthritis progression using radiograph features
A patient-friendly look at how knees with osteoarthritis may progress more quickly, using advanced X-ray measurements to identify who is at higher risk.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.