Understanding combined pulmonary fibrosis and emphysema using advanced imaging techniques
Official title: Defining Combined Pulmonary Fibrosis and Emphysema (CPFE) using Quantitative CT Imaging
Funded at University of Michigan at Ann Arbor · NIH-10995753 · Data updated 2026-11-12
This study is looking at how to better understand and diagnose combined pulmonary fibrosis and emphysema (CPFE) by using advanced imaging techniques, so that patients can receive more accurate diagnoses and personalized treatment plans.
Quick facts
| Grant type | Fellowship grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Michigan at Ann Arbor NIH-funded |
| Lab location | 1 site (Ann Arbor, United States) |
| Project start | September 10, 2024 |
| Project end | July 9, 2026 |
| Funding year | 2024 |
| Award (this year) | $91,694 |
| NIH project number | 1F32HL175973-01 |
| Project ID | NIH-10995753 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with combined pulmonary fibrosis and emphysema.
✕Less likely to help
Patients with other forms of lung disease that do not involve pulmonary fibrosis or emphysema may not benefit from this research.
What this research studies
This research focuses on defining and characterizing the clinical syndrome of combined pulmonary fibrosis and emphysema (CPFE) through the use of quantitative CT imaging and machine learning. The goal is to establish standardized diagnostic criteria and identify imaging thresholds that can predict clinical outcomes for patients with CPFE. By analyzing CT scans, the research aims to improve the understanding of this complex disease, which is often underdiagnosed and poorly understood. Patients may benefit from more accurate diagnoses and tailored treatment plans based on the findings.
Why it matters
Potential benefit: If successful, this research could lead to improved diagnostic criteria and treatment strategies for patients suffering from CPFE.
How similar studies have gone: Previous research has shown promise in using quantitative imaging and machine learning to improve the understanding of lung diseases, indicating that this approach may yield valuable insights.
Where this research is happening
-
University of Michigan at Ann Arbor
Ann Arbor, United States Active
Researchers
- Principal investigator: Wang, Jennifer Min — University of Michigan at Ann Arbor
- Study coordinator: Wang, Jennifer Min
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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.