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Screening Algorithms in Dense Breasts: AJR Expert Panel Narrative Review.

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Screening mammography is less effective for dense breasts. Advanced imaging like digital breast tomosynthesis (DBT) and ultrasound (US) improve cancer detection in dense breast tissue.

Keywords:
MRIbreast densitycontrast-enhanced mammographymolecular breast imagingtomosynthesisultrasound

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Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Screening mammography reduces breast cancer mortality but has reduced performance in women with dense breasts.
  • Increased breast density is an independent risk factor for breast cancer.
  • Dense breast notification is becoming a national standard, necessitating optimized screening strategies.

Purpose of the Study:

  • To review the performance of various supplemental imaging modalities for detecting breast cancer in women with dense breasts.
  • To compare the effectiveness of digital breast tomosynthesis (DBT), ultrasound (US), molecular breast imaging (MBI), MRI, and contrast-enhanced mammography (CEM) against 2D digital mammography (DM).

Main Methods:

  • Review of existing studies evaluating supplemental breast imaging techniques in dense breasts.
  • Comparison of cancer detection rates, recall rates, and interval cancer reduction for different modalities.

Main Results:

  • DBT, US, MBI, MRI, and CEM show improved cancer detection in dense breasts compared to 2D DM.
  • DBT reduces recalls; US increases detection but adds false positives; MBI has higher radiation dose; MRI offers greatest detection increase and interval cancer reduction.
  • CEM shows promise similar to MRI, requiring further validation.

Conclusions:

  • Understanding the performance of supplemental modalities is crucial for optimizing breast cancer screening in women with dense breasts.
  • Various advanced imaging techniques offer improved cancer detection in dense breast tissue, addressing limitations of conventional mammography.