Radiomic markers from 3D mammography to predict breast cancer risk across diverse women

Who could benefit from this research

What this research studies

This project uses 3D mammography data to extract radiomic features that describe breast tissue in more detail than standard density measures. The goal is to identify radiomic phenotypes that predict future invasive breast cancer and interval cancers across racial groups. By focusing on 3D imaging and AI-based analysis, the study aims to create more accurate risk models that could guide screening and prevention for women who undergo routine mammograms. The research team will validate these features across diverse populations, with an emphasis on representative racial and ethnic groups.

Why it matters

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

1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.