Using advanced 3-D imaging to improve breast cancer risk prediction
Official title: Evaluation of novel tomosynthesis density measures in breast cancer risk prediction
Funded at Mayo Clinic Rochester · NIH-11032029 · Data updated 2026-11-12
This study is looking at how a special 3-D breast imaging technique can help better predict breast cancer risk by measuring breast density, and it's for women who are having routine screenings to find out if they might be at higher risk for more serious types of breast cancer.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Mayo Clinic Rochester NIH-funded |
| Lab location | 1 site (Rochester, United States) |
| Project start | March 1, 2023 |
| Project end | February 28, 2028 |
| Funding year | 2025 |
| Award (this year) | $671,511 |
| NIH project number | 5R01CA275074-03 |
| Project ID | NIH-11032029 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are women undergoing routine breast cancer screenings who have varying levels of breast density and belong to diverse racial groups.
✕Less likely to help
Patients who do not undergo routine breast cancer screenings or those with conditions that preclude the use of DBT may not benefit from this research.
What this research studies
This research investigates how digital breast tomosynthesis (DBT), a 3-D imaging technology, can enhance the prediction of breast cancer risk by accurately measuring breast density. By analyzing data from large and diverse cohorts, the study aims to evaluate the effectiveness of DBT volumetric density measures in identifying women at higher risk for invasive and advanced breast cancer. The research will utilize advanced AI algorithms to refine risk models and tailor prevention strategies based on individual characteristics. Participants will undergo routine DBT screenings, with follow-up assessments to track breast cancer outcomes.
Why it matters
Potential benefit: If successful, this research could lead to more accurate breast cancer risk assessments, enabling personalized screening and prevention strategies for women.
How similar studies have gone: Previous research has shown promising results in using advanced imaging techniques for breast cancer risk assessment, suggesting that this approach may yield significant advancements.
Where this research is happening
-
Mayo Clinic Rochester
Rochester, United States Active
Researchers
- Principal investigator: Vachon, Celine M — Mayo Clinic Rochester
- Study coordinator: Vachon, Celine M
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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.