Better telling apart tumor growth from treatment effects in Glioblastoma
Official title: Quantitative imaging phenotypic classifier for distinguishing radiation effects from tumor recurrence in Glioblastoma
Funded at University of Wisconsin-Madison · NIH-10925209 · Data updated 2026-11-12
This project aims to create a new way to tell if changes on an MRI scan for Glioblastoma patients are new tumor growth or harmless side effects from radiation treatment.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Wisconsin-Madison NIH-funded |
| Lab location | 1 site (Madison, United States) |
| Project start | June 30, 2022 |
| Project end | May 31, 2028 |
| Funding year | 2025 |
| Award (this year) | $724,184 |
| NIH project number | 5R01CA264017-04 |
| Project ID | NIH-10925209 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients who have been treated for Glioblastoma and have suspicious lesions on their follow-up MRI scans would be ideal candidates for this type of diagnostic improvement.
✕Less likely to help
Patients who have not received radiation therapy for Glioblastoma or do not have suspicious lesions on their MRI scans would not directly benefit from this specific diagnostic tool.
What this research studies
After receiving treatment for Glioblastoma, many patients show suspicious spots on their follow-up MRI scans. It's very hard to tell if these spots are the cancer coming back or just harmless changes from radiation therapy. Currently, patients often need a brain biopsy, which is invasive and not always accurate, to find out. This project is developing a special computer tool that uses regular MRI scans to help doctors make a more accurate diagnosis without needing a biopsy.
Why it matters
Potential benefit: If successful, this tool could help Glioblastoma patients avoid unnecessary and risky brain biopsies by providing a clearer diagnosis from their MRI scans.
How similar studies have gone: The research team has already developed an initial version of this tool, called IRRisC, which has shown 85% accuracy in distinguishing tumor recurrence from radiation effects in a preliminary set of 58 patient studies.
Where this research is happening
-
University of Wisconsin-Madison
Madison, United States Active
Researchers
- Principal investigator: Tiwari, Pallavi — University of Wisconsin-Madison
- Study coordinator: Tiwari, Pallavi
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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.