Improving heart disease diagnosis using advanced imaging techniques
Official title: Novel methodologies to improve coronary artery disease diagnostics with dynamic PET
Funded at University of Cincinnati · NIH-10982092 · Data updated 2026-11-12
This study is looking at new ways to take clearer pictures of blood flow in the heart to help doctors better diagnose coronary artery disease, so patients can get more accurate diagnoses and personalized treatment plans.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Cincinnati NIH-funded |
| Lab location | 1 site (Cincinnati, United States) |
| Project start | July 1, 2024 |
| Project end | June 30, 2029 |
| Funding year | 2024 |
| Award (this year) | $750,406 |
| NIH project number | 1R01HL170245-01A1 |
| Project ID | NIH-10982092 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals experiencing symptoms of coronary artery disease or those at high risk for developing heart conditions.
✕Less likely to help
Patients with non-cardiac related health issues or those who do not exhibit symptoms of coronary artery disease may not benefit from this research.
What this research studies
This research focuses on enhancing the diagnosis of coronary artery disease (CAD) through innovative imaging methods known as dynamic PET myocardial perfusion imaging. By utilizing advanced algorithms and deep learning techniques, the project aims to improve the accuracy of blood flow measurements in the heart, which can lead to better assessments of CAD. The approach involves developing new methods to reduce noise in imaging data, allowing for clearer and more precise images that can aid in diagnosis. Patients may benefit from more accurate diagnoses and tailored treatment plans based on improved imaging results.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses of coronary artery disease, potentially improving patient outcomes and treatment strategies.
How similar studies have gone: Previous research has shown promise in using advanced imaging techniques for diagnosing heart conditions, suggesting that this approach could yield significant advancements.
Where this research is happening
-
University of Cincinnati
Cincinnati, United States Active
Researchers
- Principal investigator: Tang, Jing — University of Cincinnati
- Study coordinator: Tang, Jing
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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.