Breast Imaging

Breast imaging includes imaging modalities used for breast cancer screenings and planning therapy once cancer is detected. Mammography is the primary modality used. Mammogram technology is moving from 2D full-field digital mammography (FFDM) to breast tomosynthesis, or 3D mammography, which helps reduce false positive exams by allowing radiologists to look through the layers of tissue. Overlapping areas of dense breast tissue on 2D mammograms appear similar to cancers and 3D tomo helps determine if suspect areas are cancer or not. About 50% of women have dense breast tissue, which appears white on mammograms, the same as cancers, making diagnosis difficult. Radiologists use the Breast Imaging Reporting and Data System (BI-RADS) scoring system to define the density of breast tissue. Many states now require patients to be notified if they have dense breasts so they understand their mammograms might be suboptimal and they should use supplemental imaging that can see through the dense areas. This includes tomosythesis, breast ultrasound, automated breast ultrasound (ABUS), breast MRI, contrast enhanced mammography and nuclear imaging, including positron emission mammography (PEM).

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Machine learning uses MRI to predict lymphovascular invasion in breast cancer patients

These algorithms could fill in where postoperative biopsy sometimes falls short, experts explained in Academic Radiology.

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70% of breast radiologists surveyed either unsure about or had zero LGBTQ competency training

The finding is part of a survey of 400 breast imaging experts, published in the Journal of the American College of Radiology

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Survey explores radiology practices’ surveillance preferences when monitoring breast cancer survivors

There is “immense variability” in how this is handled in clinical practice, with a lack of evidence-based literature, experts wrote in JACR

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While promising, machine learning still misses 20% of cancers on breast MRIs, analysis shows

AI proved useful for detecting axillary lymph node metastases but isn’t yet ready for clinics, experts said recently.

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Providers are requesting fewer preoperative MRIs for breast cancer patients

Female surgeons, in particular, are abiding by evidence-based guidelines, but a more selective approach is still needed among doctors.

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Male breast cancer patients represent small portion of referrals but generate significant workload

About 75% of referrals result in an imaging exam, while only 1% lead to a cancer diagnosis, experts reported in Clinical Radiology.  

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‘Wake-up call’: Providers log substantially fewer breast biopsies with cancer diagnoses

The declines were more pronounced among Asian, Hispanic and Black women, imaging experts wrote in Radiology. 

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One 3D mammogram acquired via digital breast tomosynthesis adds about 500 MB of image data to a hospital’s storage system. That’s the average. On the high end, a single study can occupy as much as 3 GB of real estate on a finite-volume storage server.