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The risk-based breast screening (RIBBS) study protocol: a personalized screening model for young women
Gisella Gennaro1, Lauro Bucchi2, Alessandra Ravaioli3
1Veneto Institute of Oncology (IOV) IRCCS, Padua, Italy.
La Radiologia Medica
|March 21, 2024
Summary
This study compares a new risk-stratified mammography screening strategy with standard annual screening for women aged 45-49. The goal is to determine if personalized screening reduces advanced breast cancer (BC) incidence.
Area of Science:
- Oncology
- Radiology
- Public Health
Background:
- Optimal mammography screening for women aged 45-49 remains debated.
- Current screening protocols may not adequately address individual breast cancer risk.
- The RIBBS study protocol addresses this by comparing stratified screening with standard annual digital mammography.
Purpose of the Study:
- To compare a risk- and breast density-stratified screening model with annual digital mammography (DM) screening.
- To evaluate the cumulative incidence of advanced breast cancer (BC) in women aged 45 years.
- To assess the effectiveness of personalized screening protocols in a real-world setting.
Main Methods:
- A quasi-experimental, prospective, population-based study comparing an interventional cohort (risk-stratified) with an observational control cohort (annual DM).
- The interventional cohort (n=10,269) uses Volumetric Breast Density (VBD) and Tyrer-Cuzick model for risk stratification.
- The control cohort (n=43,000) receives annual DM screening.
Main Results:
- The interventional cohort utilizes five distinct screening protocols based on Lifetime Risk (LTR) and VBD.
- Protocols range from biennial DBT to annual DBT with ultrasound or breast MRI for high-risk individuals.
- The study is ongoing, with cumulative incidence rates to be compared at 3, 5, and 10 years.
Conclusions:
- The RIBBS study protocol provides a framework for personalized mammography screening in women aged 45-49.
- This risk-stratified approach aims to optimize early breast cancer detection.
- Further results will elucidate the impact of personalized screening on advanced breast cancer rates.
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