Using brain imaging to predict outcomes after brain tumor surgery
Neuroimaging Markers for Predicting Outcome of Brain Tumor Surgery
This study is looking at how brain scans can help doctors plan safer surgeries for patients with gliomas, so they can remove more of the tumor while protecting important brain functions.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Oklahoma NIH-funded |
| Lab location | 1 site (Norman, United States) |
| Project ID | NIH-11005783 on NIH RePORTER |
What this research studies
This research investigates how neuroimaging can help predict the outcomes of brain tumor surgeries, particularly for gliomas. It aims to develop an intelligent system that analyzes brain connectivity images to identify areas of neural plasticity, which may allow for safer and more effective surgical interventions. By understanding how brain regions can adapt, the research seeks to improve surgical strategies that maximize tumor removal while minimizing neurological deficits. Patients with infiltrating tumors may be considered for surgery that would otherwise be deemed too risky.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients diagnosed with gliomas that have infiltrated eloquent areas of the brain.
Not a fit: Patients with brain tumors that are not infiltrative or those who are not surgical candidates may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved surgical outcomes and survival rates for patients with brain tumors.
How similar studies have performed: Previous studies have shown promise in using neuroimaging to guide surgical decisions, indicating that this approach may lead to significant advancements in treatment.
Where this research is happening
Norman, United States
- University of Oklahoma — Norman, United States (Active)
Researchers
- Principal investigator: Yuan, Han — University of Oklahoma
- Study coordinator: Yuan, Han
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.