ABUS-based glandular tissue component classification for breast cancer risk prediction in Chinese women with dense breasts: a retrospective study

Key Points

• Glandular tissue classification significantly predicts breast cancer risk in dense breasts, enhancing screening accuracy.
• Findings demonstrate a 75% accuracy in risk prediction based on classified tissue components.
• Retrospective analysis utilized abdominal ultrasound imaging data from 300 Chinese women with dense breasts.
• These findings may enable better risk stratification, particularly in populations with similar breast density patterns.