Breast Density Quantification in MRI

We developed an AI-based method for quantifying breast density in MRI and established its relationship with mammographic density assessment, enabling more comprehensive breast cancer risk evaluation.

Key Contributions

• AI-based quantification: Automated segmentation and quantification of fibroglandular tissue (FGT) in breast MRI
• Multi-modal correlation: Established relationship between MRI-based and mammography-based density assessments
• Extended segmentation: Extended breast segmentation methods to include breast, vessel, and FGT components
• Clinical validation: Demonstrated the clinical utility of MRI-based density measurements for breast cancer risk assessment

Clinical Significance

• Risk stratification: Breast density is a well-established risk factor for breast cancer; accurate quantification enables better risk assessment
• Multi-modal imaging: Bridges MRI and mammography assessments, providing complementary information for clinical decision-making
• Longitudinal monitoring: Enables tracking of breast density changes over time, which may be relevant for risk prediction
• Demographic analysis: Conducted comprehensive demographic analysis comparing MRI density with traditional mammographic density measurements

Impact

Published in npj Breast Cancer, this work demonstrates the feasibility and clinical value of AI-based breast density quantification in MRI, providing a new tool for breast cancer risk assessment and patient care.