Using MRI and genetic models to diagnose unclear brain lesions
Diagnosis of indeterminate brain lesions using MRI-based machine learning and polygenic risk models
This study is working on a new way to help doctors better understand unclear spots on brain scans for people over 45, using smart computer techniques and genetic information to tell the difference between things like tumors and inflammation, so patients can avoid unnecessary tests and get the right treatment faster.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Mayo Clinic Rochester NIH-funded |
| Lab location | 1 site (Rochester, United States) |
| Project ID | NIH-10848419 on NIH RePORTER |
What this research studies
This research focuses on improving the diagnosis of unclear brain lesions found in MRI scans, particularly in individuals over 45 years old. It aims to develop machine learning techniques and polygenic risk models to differentiate between various types of brain lesions, such as tumors and inflammatory diseases, which are often misdiagnosed. By accurately identifying these conditions before invasive procedures like biopsies, the research seeks to reduce unnecessary medical interventions and improve patient outcomes. The approach combines advanced imaging analysis with genetic information to create a more reliable diagnostic tool.
Who could benefit from this research
Good fit: Ideal candidates for this research are adults over 45 years old who have indeterminate brain lesions detected on MRI scans.
Not a fit: Patients with clearly defined brain lesions or those under 45 years old may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses of brain lesions, reducing unnecessary surgeries and improving treatment decisions for patients.
How similar studies have performed: Previous research has shown promise in using machine learning and genetic models for similar diagnostic challenges, indicating a potential for success in this approach.
Where this research is happening
Rochester, United States
- Mayo Clinic Rochester — Rochester, United States (Active)
Researchers
- Principal investigator: Eckel Passow, Jeanette E — Mayo Clinic Rochester
- Study coordinator: Eckel Passow, Jeanette E
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.