Better Detection and Understanding of Aortic Aneurysms with Big Radiology and Genetics Data
Official title: Improving the Detection and Understanding of Aortic Aneurysms through Large-Scale Radiologic and Genetic Risk Assessments
Funded at Geisinger Clinic · NIH-11298405 · Data updated 2026-11-12
A large NIH grant is funding a project to improve how we find and understand abdominal and other aortic aneurysms using lots of radiology images and genetic information.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Geisinger Clinic NIH-funded |
| Lab location | 1 site (Danville, United States) |
| Project start | July 15, 2026 |
| Project end | March 31, 2030 |
| Funding year | 2026 |
| Award (this year) | $727,665 |
| NIH project number | 1R01HL179171-01A1 |
| Project ID | NIH-11298405 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates include adults at risk for aortic aneurysms, particularly those who may be under-screened by current guidelines.
✕Less likely to help
Individuals without risk factors, or those not undergoing imaging data that can be analyzed, may see limited direct benefit.
What this research studies
This project will use advanced, computer-driven analysis of existing radiology scans to detect aortic aneurysms more accurately and measure their sizes over time. It will combine imaging data with genetic information to identify genes that influence aortic diameter and aneurysm risk. The goal is to reveal how common aneurysms are, why they progress, and how current screening might be improved to reach more people who are at risk. The work is built to create better screening criteria and potentially guide earlier interventions.
Why it matters
Potential benefit: If successful, the project could lead to earlier detection and more inclusive screening for aortic aneurysms, reducing rupture risk and deaths.
How similar studies have gone: Previous work shows promise in using deep learning to detect aneurysms in imaging data, with potential for improved accuracy; this study extends that work with larger-scale data and genetic integration.
Where this research is happening
-
Geisinger Clinic
Danville, United States Active
Researchers
- Principal investigator: Mirshahi, Tooraj — Geisinger Clinic
- Study coordinator: Mirshahi, Tooraj
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.