Pulmonary embolism prognosis using CT image analytics
Official title: Classification and Prognostication in Pulmonary Thromboembolism Using Computed Tomography Image Analytics
Funded at University of California Los Angeles · NIH-11607839 · Data updated 2026-11-12
A CT-based approach uses imaging data to predict who with an acute pulmonary embolism may develop chronic problems, helping guide care.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California Los Angeles NIH-funded |
| Lab location | 1 site (Los Angeles, United States) |
| Project start | August 1, 2026 |
| Project end | July 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $595,438 |
| NIH project number | 7R01HL164717-05 |
| Project ID | NIH-11607839 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults diagnosed with acute pulmonary embolism who undergo CT imaging and can be followed for future outcomes.
✕Less likely to help
Patients with PE who do not experience long-term complications or who are unable to undergo CT imaging or follow-up.
What this research studies
This project focuses on using CT images from people with acute pulmonary embolism to identify patterns that forecast long-term outcomes such as chronic thromboembolic pulmonary hypertension and ongoing breathlessness. By analyzing imaging features early in the disease, clinicians may better predict trajectories and tailor follow-up and treatment to individual patients. The study aims to improve prognostic accuracy and support decisions about referral to specialized centers. The work centers on patients with acute PE and leverages CT data to link imaging signals with later health consequences.
Why it matters
Potential benefit: If successful, it could improve early risk stratification and guide personalized follow-up and treatment planning for PE patients.
How similar studies have gone: Prior imaging-based approaches have shown promise in predicting outcomes, but this project seeks to enhance precision for PE-specific trajectories.
Where this research is happening
-
University of California Los Angeles
Los Angeles, United States Active
Researchers
- Principal investigator: Rahaghi, Farbod Nicholas — University of California Los Angeles
- Study coordinator: Rahaghi, Farbod Nicholas
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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.