Comparing precision breast cancer screening and treatment strategies
Comparative Modeling of Precision Breast Cancer Control Across the Translational Continuum Administrative Supplement
['FUNDING_U01'] · UNIVERSITY OF WISCONSIN-MADISON · NIH-11348074
Using computer models, researchers compare personalized breast cancer screening and treatment plans to help women at risk of or living with breast cancer.
Quick facts
| Phase | ['FUNDING_U01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF WISCONSIN-MADISON (nih funded) |
| Locations | 1 site (MADISON, UNITED STATES) |
| Trial ID | NIH-11348074 on ClinicalTrials.gov |
What this research studies
This project uses computer-based models to simulate how different personalized screening and treatment approaches would work across populations. It combines data on breast cancer risk factors, screening tests, treatments, and comorbidities like type 2 diabetes to estimate benefits, harms, and costs. The team standardizes inputs so different models produce comparable outcomes such as deaths avoided, false positives, benign biopsies, overdiagnosis, life years, and quality-adjusted life years. Results are intended to help clinicians and policymakers refine screening guidelines and treatment choices that could affect you or people like you.
Who could benefit from this research
Good fit: People most directly connected are women at risk for breast cancer, people living with breast cancer, and those with comorbidities such as type 2 diabetes whose care might be affected by personalized screening or treatment guidance.
Not a fit: Patients seeking immediate new treatments or those with rare tumor subtypes not represented in the models may not see direct benefit from this modeling work.
Why it matters
Potential benefit: If successful, the work could help tailor screening and treatment recommendations to reduce unnecessary tests and improve outcomes for people with or at risk for breast cancer.
How similar studies have performed: CISNET and other modeling groups have previously informed national screening recommendations, so this builds on established modeling approaches while adding new precision features.
Where this research is happening
MADISON, UNITED STATES
- UNIVERSITY OF WISCONSIN-MADISON — MADISON, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: TRENTHAM-DIETZ, AMY — UNIVERSITY OF WISCONSIN-MADISON
- Study coordinator: TRENTHAM-DIETZ, AMY
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 below.
Conditions: Adult-Onset Diabetes Mellitus