Evaluating personalized breast cancer screening strategies
Official title: Project 4: CISNET Modeling of outcomes and cost for risk-based screening strategies
Funded at University of California, San Francisco · NIH-10935792 · Data updated 2026-11-12
This study is looking at how personalized breast cancer screening can work better for women by taking into account their age, breast density, and risk factors, to see if it can improve health outcomes compared to standard screening methods.
Quick facts
| Grant type | P01 program project |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Francisco NIH-funded |
| Lab location | 1 site (San Francisco, United States) |
| Project start | September 11, 2024 |
| Project end | August 31, 2029 |
| Funding year | 2024 |
| Award (this year) | $201,393 |
| NIH project number | 1P01CA281826-01A1 |
| Project ID | NIH-10935792 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include women at varying risk levels for breast cancer, particularly those whose screening needs may differ based on age, breast density, and other risk factors.
✕Less likely to help
Patients who are not women or those who do not have risk factors for breast cancer may not receive benefit from this research.
What this research studies
This research investigates the effectiveness and cost of personalized breast cancer screening approaches using advanced modeling techniques. By analyzing data from various sources, the study aims to optimize risk thresholds for different subtypes of breast cancer and compare these personalized strategies against established screening guidelines. The goal is to provide insights into how tailored screening can improve outcomes for women based on factors like age, breast density, and risk profiles. This modeling approach allows for a comprehensive understanding of the potential benefits and harms associated with different screening methods.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized breast cancer screening strategies that improve early detection and reduce unnecessary interventions.
How similar studies have gone: Previous research using similar modeling approaches has successfully informed breast cancer screening guidelines, indicating a strong potential for this study's success.
Where this research is happening
-
University of California, San Francisco
San Francisco, United States Active
Researchers
- Principal investigator: Tice, Jeffrey a — University of California, San Francisco
- Study coordinator: Tice, Jeffrey a
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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.