Does mammographic density remain a radiological challenge in the digital era?

Area of Science:

• Radiology
• Medical Imaging
• Oncology

Background:

• Low subject contrast in mammography can obscure cancerous tissue within fibroglandular tissue.
• Accurate breast cancer detection is crucial for effective treatment planning.

Purpose of the Study:

• To evaluate radiologist performance in detecting breast cancer on digital mammograms with varying mammographic density (MD).
• To compare diagnostic accuracy between low and high MD cases.

Main Methods:

• 17 radiologists reviewed 60 digital mammography cases (20 cancerous).
• Cases were classified as low (≤50% MD) or high (>50% MD).
• Performance metrics included sensitivity, specificity, AUC, location sensitivity, and JAFROC FOM.

Main Results:

• Radiologists exhibited significantly higher sensitivity, AUC, location sensitivity, and JAFROC FOM in high MD cases versus low MD cases.
• Radiologists with less experience (<1000 annual reads) and no mammographic subspecialty showed improved AUC, location sensitivity, and JAFROC FOM in high MD cases.
• Experienced radiologists (≥1000 annual reads) and those with mammography subspecialty showed a significant increase in location sensitivity for high MD cases.

Conclusions:

• Radiologist performance for breast cancer detection is higher in high mammographic density cases.
• Experienced radiologists excel at localizing lesions in denser breasts.
• Further validation in unselected screening populations is recommended.