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ESR Essentials: screening for breast cancer - general recommendations by EUSOBI
Magda Marcon1,2, Michael H Fuchsjäger3, Paola Clauser4
1Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland. magda.marcon@usz.ch.
European Radiology
|April 24, 2024
Summary
Mammography remains the primary breast cancer screening tool. Personalized screening using MRI or ultrasound for high-risk or dense breasts can improve outcomes and cost-effectiveness.
Area of Science:
- Oncology
- Radiology
- Public Health
Background:
- Breast cancer is the most common cancer in women, with increasing incidence.
- Mammographic screening reduces mortality but has limitations like underdiagnosis and overdiagnosis.
- Current screening is age-based, not risk-stratified, impacting benefit-to-harm ratios.
Purpose of the Study:
- To evaluate the effectiveness of personalized breast cancer screening approaches.
- To compare risk-stratified screening with the current 'one-size-fits-all' mammography program.
- To explore the role of supplemental imaging and AI in improving screening outcomes.
Main Methods:
- Review of existing evidence on mammography, supplemental imaging (MRI, ultrasound), and AI in breast cancer screening.
- Analysis of limitations of current age-based screening protocols.
- Consideration of risk stratification based on individual risk factors and breast density.
Main Results:
- Mammography is effective in early diagnosis and reducing breast cancer mortality.
- Breast MRI is recommended for high-risk women and those with extremely dense breasts.
- AI shows promise in risk categorization and reducing interval cancers.
Conclusions:
- A personalized, risk-stratified approach to breast cancer screening can improve the benefit-to-harm ratio and cost-effectiveness.
- Mammography remains the mainstay, but supplemental MRI or ultrasound should be considered for specific populations.
- Shared decision-making between women and physicians is crucial for individualizing screening recommendations.
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