Measuring liver scarring using MRI and advanced computer techniques
Official title: Quantification of Liver Fibrosis with MRI and Deep Learning
Funded at Cincinnati Childrens Hosp Med Ctr · NIH-10769797 · Data updated 2026-11-12
This study is looking for a gentle way to check for liver scarring in people with chronic liver disease using advanced MRI technology and smart computer programs, so you won’t need any painful biopsies.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Cincinnati Childrens Hosp Med Ctr NIH-funded |
| Lab location | 1 site (Cincinnati, United States) |
| Project start | April 1, 2021 |
| Project end | December 31, 2025 |
| Funding year | 2024 |
| Award (this year) | $572,327 |
| NIH project number | 5R01EB030582-04 |
| Project ID | NIH-10769797 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include both children and adults diagnosed with chronic liver disease who require evaluation of liver fibrosis.
✕Less likely to help
Patients with liver conditions that do not involve fibrosis or those who are not diagnosed with chronic liver disease may not benefit from this research.
What this research studies
This research focuses on finding a non-invasive way to assess liver fibrosis, a critical condition related to chronic liver disease. By utilizing advanced MRI technology combined with deep learning algorithms, the study aims to accurately detect and quantify liver scarring without the need for invasive biopsies. The approach involves analyzing MRI images and clinical data to improve diagnostic accuracy and patient comfort. This innovative method could significantly enhance the way liver conditions are monitored and treated.
Why it matters
Potential benefit: If successful, this research could lead to safer and more accurate assessments of liver health for patients with chronic liver disease.
How similar studies have gone: Previous research has shown promise in using non-invasive imaging techniques for liver assessment, but this specific application of deep learning with MRI is relatively novel.
Where this research is happening
-
Cincinnati Childrens Hosp Med Ctr
Cincinnati, United States Active
Researchers
- Principal investigator: He, Lili — Cincinnati Childrens Hosp Med Ctr
- Study coordinator: He, Lili
Related research
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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.