Advanced metabolic MRI to map tumor activity in glioma
Quantitative Steady-State and Dynamic Metabolic MRI for Evaluating Patients with Glioma
This project is building improved MRI tools to measure tumor metabolism in adults with glioma so doctors can see changes more clearly over time.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Francisco NIH-funded |
| Lab location | 1 site (San Francisco, United States) |
| Project ID | NIH-11262826 on NIH RePORTER |
What this research studies
You would benefit from better MRI scans that consistently capture metabolic information from your brain tumor. The team is creating new hardware and automated software to standardize how scans are prescribed so results are less dependent on the operator and cover more of the lesion. They will use and expand an open-source, DICOM-compatible program called SIVIC to streamline processing, add new analysis methods, and make serial comparisons easier. The group will also refine how imaging and tissue collection are done so the resulting quantitative biomarkers can be used in clinical care.
Who could benefit from this research
Good fit: Adults with a diagnosed glioma who receive MRI scans or follow-up imaging at participating medical centers would be ideal candidates.
Not a fit: People without brain tumors, children, or anyone who cannot safely undergo MRI would not be expected to benefit from this work.
Why it matters
Potential benefit: If successful, this could give clinicians clearer, more consistent metabolic images to track tumor response and guide treatment choices.
How similar studies have performed: Metabolic MRI techniques exist and have shown useful information, but they have been limited by variability and this integrated, automated approach is a newer effort to improve reliability.
Where this research is happening
San Francisco, United States
- University of California, San Francisco — San Francisco, United States (Active)
Researchers
- Principal investigator: Xu, Duan — University of California, San Francisco
- Study coordinator: Xu, Duan
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.