AI-assisted 6D CT for Early Detection of Joint Instability
One-stop-shop Early Diagnosis of Joint Instability using AI-assisted 6D Computed Tomography
This project aims to create a new imaging method using advanced CT scans and artificial intelligence to find joint instability early, before arthritis symptoms become severe.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Mayo Clinic Rochester NIH-funded |
| Lab location | 1 site (Rochester, United States) |
| Project ID | NIH-11101118 on NIH RePORTER |
What this research studies
Many people will experience arthritis, a condition that often starts with joint instability that is hard to see with current imaging tools. This means patients can suffer for years before getting a clear diagnosis and the right treatment. Our goal is to develop a new 6D CT scan, which combines 3D imaging with movement over time, enhanced by AI, to accurately detect these subtle instabilities. This advanced imaging could help doctors see problems sooner, allowing for more effective treatments and better joint function before significant damage occurs.
Who could benefit from this research
Good fit: Ideal candidates for future applications of this technology would be adults aged 21 and older who are at risk for or experiencing early signs of joint instability.
Not a fit: Patients who already have advanced arthritis with significant joint damage may not benefit from this early diagnostic tool, as it focuses on pre-symptomatic or early-stage instability.
Why it matters
Potential benefit: If successful, this technology could lead to much earlier and more accurate diagnosis of joint instability, allowing for timely interventions that prevent or reduce the severity of arthritis.
How similar studies have performed: While some advancements have been made in 4D CT, this approach aims to overcome current limitations by integrating AI and a more comprehensive 6D imaging capability for improved accuracy.
Where this research is happening
Rochester, United States
- Mayo Clinic Rochester — Rochester, United States (Active)
Researchers
- Principal investigator: Leng, Shuai — Mayo Clinic Rochester
- Study coordinator: Leng, Shuai
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 below.