Evaluating cardiovascular risk using CT calcium score exams
Official title: Cardiovascular risk from comprehensive evaluation of the CT calcium score exam
Funded at Case Western Reserve University · NIH-11045666 · Data updated 2026-11-12
This study is looking at how computer technology can help doctors better understand heart health by analyzing CT scans, especially for people at higher risk of heart problems, like those in the African American community, so they can get more personalized care and treatment.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Case Western Reserve University NIH-funded |
| Lab location | 1 site (Cleveland, United States) |
| Project start | March 15, 2023 |
| Project end | February 28, 2027 |
| Funding year | 2025 |
| Award (this year) | $690,422 |
| NIH project number | 5R01HL165218-03 |
| Project ID | NIH-11045666 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates include individuals with a CT calcium score exam, particularly those from the African American population or those at risk for cardiovascular diseases.
✕Less likely to help
Patients without a CT calcium score exam or those with no cardiovascular risk factors may not benefit from this research.
What this research studies
This research investigates how machine learning can analyze CT calcium score images to predict the risk of major cardiovascular events. By examining coronary artery calcifications and thoracic fat deposits, the study aims to improve the understanding of cardiometabolic diseases. Patients will benefit from more accurate risk assessments, which can guide personalized preventive therapies and enhance clinical decision-making. The research focuses on identifying high-risk individuals, particularly within the African American population, to improve adherence to treatment plans.
Why it matters
Potential benefit: If successful, this research could lead to more precise cardiovascular risk assessments and tailored preventive therapies for patients.
How similar studies have gone: Previous research has shown promise in using machine learning for cardiovascular risk prediction, making this approach both innovative and building on existing knowledge.
Where this research is happening
-
Case Western Reserve University
Cleveland, United States Active
Researchers
- Principal investigator: Wilson, David Lynn — Case Western Reserve University
- Study coordinator: Wilson, David Lynn
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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.