Personalized MRI and AI imaging for glioblastoma
Generalizable quantitative imaging and machine learning signatures in glioblastoma, for precision diagnostics and personalized treatment: the ReSPOND consortium
['FUNDING_R01'] · UNIVERSITY OF PENNSYLVANIA · NIH-11111308
This project uses advanced MRI scans and artificial intelligence to find imaging patterns that could help personalize diagnosis and treatment for people with glioblastoma.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF PENNSYLVANIA (nih funded) |
| Locations | 1 site (PHILADELPHIA, UNITED STATES) |
| Trial ID | NIH-11111308 on ClinicalTrials.gov |
What this research studies
If you take part, researchers will collect and analyze MRI scans and related medical information from people with glioblastoma across multiple hospitals. They will combine different MRI types (structural, perfusion, diffusion, and metabolic) with tumor molecular data and outcomes to train machine‑learning models. The team aims to find imaging signatures that show where tumor cells are, how aggressive a tumor may be, and which treatments might work best for each person. These tools will be tested across centers to make sure they work broadly and not just at one hospital.
Who could benefit from this research
Good fit: People with a diagnosis of glioblastoma who can share their MRI scans, pathology/molecular results, and clinical records—especially those treated at participating hospitals—would be the ideal candidates.
Not a fit: People without glioblastoma, those who cannot provide MRI scans or medical records, or those too ill to participate are unlikely to directly benefit from this project.
Why it matters
Potential benefit: If successful, this work could give doctors MRI-based markers to tailor treatments, detect tumor infiltration earlier, and better predict outcomes for people with glioblastoma.
How similar studies have performed: Previous MRI and machine-learning studies have shown promising links between imaging patterns and tumor biology or outcomes, but multi-center, generalizable tools remain an active area of development.
Where this research is happening
PHILADELPHIA, UNITED STATES
- UNIVERSITY OF PENNSYLVANIA — PHILADELPHIA, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: DAVATZIKOS, CHRISTOS — UNIVERSITY OF PENNSYLVANIA
- Study coordinator: DAVATZIKOS, CHRISTOS
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.
Conditions: Brain Cancer, Cancers