Predicting the growth of brain aneurysms using advanced imaging techniques
Statistical tensor regression models for intracranial aneurysm growth prediction
['FUNDING_R01'] · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · NIH-11101258
This study is looking at how some brain aneurysms that don’t show any symptoms might change over time, using special MRI technology to help predict which ones could grow or burst in the next five years, so doctors can make better treatment choices for patients.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF CALIFORNIA, SAN FRANCISCO (nih funded) |
| Locations | 1 site (SAN FRANCISCO, UNITED STATES) |
| Trial ID | NIH-11101258 on ClinicalTrials.gov |
What this research studies
This research focuses on understanding how certain brain aneurysms, which are often asymptomatic, may grow or rupture over time. By utilizing advanced 4D Flow MRI technology, the study aims to develop a statistical framework that can accurately predict the growth of unruptured intracranial aneurysms (UIAs) over a five-year period. The approach involves analyzing hemodynamic features and using machine learning techniques to enhance imaging resolution and predict growth trajectories. This could help in assessing the risk of aneurysm rupture and guide treatment decisions.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with unruptured intracranial aneurysms who are being monitored for growth.
Not a fit: Patients with ruptured aneurysms or those without any diagnosed aneurysms may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to better prediction of aneurysm growth, allowing for more personalized treatment plans and potentially reducing the risk of rupture.
How similar studies have performed: Previous research has shown promise in using advanced imaging techniques for aneurysm assessment, but this specific approach using tensor regression models is novel.
Where this research is happening
SAN FRANCISCO, UNITED STATES
- UNIVERSITY OF CALIFORNIA, SAN FRANCISCO — SAN FRANCISCO, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: JIANG, FEI — UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
- Study coordinator: JIANG, FEI
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.