Risk Stratification for Breast Cancer Screening: AJR Expert Panel Narrative Review

Key Points

• This review aims to explore breast cancer risk stratification and the application of risk prediction models in clinical settings.
• Overview of existing risk prediction models used for breast cancer screening.
• Discussion of current societal guidelines regarding the implementation of these models.
• Examination of ongoing research focused on enhancing risk stratification methods.
• Identification of commonly used prediction models in clinical practice.
• Proposed strategies for integrating risk assessment into routine screening.
• Discussion on the potential of deep learning models to improve risk predictions and screening outcomes.