Lump detection is enhanced in silicone breast models simulating postmenopausal breast tissue

Area of Science:

• Medical imaging and diagnostics
• Biomedical engineering
• Geriatric medicine

Background:

• Breast cancer screening effectiveness varies with patient age.
• Age-related changes in breast tissue density and composition are well-documented.
• Understanding these changes is crucial for improving clinical breast examination (CBE) accuracy.

Purpose of the Study:

• To investigate how age-related changes in breast tissue softness and nodularity affect the detection of breast lumps.
• To quantify the impact of simulated menopausal status on lump detectability and false-positive rates during clinical breast examination.

Main Methods:

• Developed two sets of silicone breast models simulating premenopausal and postmenopausal breast tissue characteristics (softness, nodularity).
• 82 internal medicine physicians participated in lump detection assessments using these models.
• Analyzed detection rates and false-positive findings across different simulated tissue types.

Main Results:

• Physicians detected lumps more readily in models simulating older (postmenopausal) breast tissue.
• A higher proportion of false-positive findings occurred with models simulating postmenopausal breast tissue.
• Simulated age-related tissue characteristics significantly influenced lump detection performance.

Conclusions:

• Age-related alterations in breast tissue properties enhance the sensitivity of clinical breast examination in older women.
• Increased tissue stiffness and nodularity in older women may contribute to improved lump palpation.
• These findings highlight the importance of considering age-specific tissue characteristics in breast cancer screening protocols.