MRI and AI mapping of immune cells in glioblastoma
Image-based models of tumor-immune dynamics in glioblastoma
Using MRI scans and artificial intelligence to map immune cells in glioblastoma tumors to help doctors spot who might benefit from immunotherapy.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Mayo Clinic Arizona NIH-funded |
| Lab location | 1 site (Scottsdale, United States) |
| Project ID | NIH-11211236 on NIH RePORTER |
What this research studies
You would have your MRI images and data from image-guided biopsies combined so researchers can link what they see on scans to the tumor's immune cells. The team will use computational models and AI to estimate how microglia and macrophages are distributed through your tumor and how that distribution changes over time. This approach aims to bridge what a single biopsy shows with the whole-tumor picture on MRI to create a more complete map of the tumor-immune environment. That personalized map could be used to inform treatment choices for people with glioblastoma.
Who could benefit from this research
Good fit: Adults with glioblastoma who can undergo MRI and image-localized biopsy procedures at the study site are ideal candidates.
Not a fit: People without glioblastoma or those unable to have MRI or biopsy procedures would not be direct candidates for this work.
Why it matters
Potential benefit: If successful, this could help predict who will respond to immunotherapy and guide more personalized treatment plans for glioblastoma patients.
How similar studies have performed: Previous radiomics and AI studies have shown promise linking imaging to tumor biology, but applying these methods specifically to tumor-immune dynamics in glioblastoma is relatively new.
Where this research is happening
Scottsdale, United States
- Mayo Clinic Arizona — Scottsdale, United States (Active)
Researchers
- Principal investigator: Hu, Leland — Mayo Clinic Arizona
- Study coordinator: Hu, Leland
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.