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).

Example of the four types of breast tissue density. The density of fibroglandular tissue inside the breast impacts the ability to easily see cancers. Cancers are very easy to spot in fatty breasts, but are almost impossible to find in extremely dense breasts. These examples show craniocaudal mammogram findings characterized as almost entirely fatty (far left), scattered areas of fibroglandular density (second from left), heterogeneously dense (second from right), and extremely dense (far right). RSNA

Breast density notification laws: How will the FDA's updates affect radiologists and referring providers?

The FDA will soon require mammography providers to inform all patients of their breast density status. To anticipate how the update might affect key stakeholders, it’s important to understand exactly what has changed. 

March 30, 2023
axillary lymphadenopathy after COVID booster

Follow-up imaging for reactive adenopathy s/p COVID booster might not be necessary

Experts recently gained a better understanding of how axillary lymphadenopathy presents on breast MRI following COVID boosters.

March 23, 2023
probably benign abnormalities on mammogram

Is it OK to delay follow-ups for 'probably benign' abnormalities on mammography screening?

Many were concerned that delays in care inflicted by COVID restrictions also would potentially delay diagnoses, causing undue harm for patients.

March 22, 2023
synthetic contrast-enhanced breast MRI

GBCA dose drops significantly in breast MRI thanks to machine learning

The use of synthetic images could reduce the amount of gadolinium-based contrast agents needed for breast MRI examinations, according to new data published this week in Radiology

March 21, 2023
#covidboostersideeffects #axillarylympadenopathy

COVID booster side effects: How long does axillary lymphadenopathy last after vaccination?

Axillary lymphadenopathy following COVID vaccination and/or boosters is a finding all radiologists must be mindful of when interpreting imaging, but new data clarify the timeline for when the side effect should resolve.

March 8, 2023
Example of the four types of breast tissue density. The density of fibroglandular tissue inside the breast impacts the ability to easily see cancers. Cancers are very easy to spot in fatty breasts, but are almost impossible to find in extremely dense breasts. These examples show craniocaudal mammogram findings characterized as almost entirely fatty (far left), scattered areas of fibroglandular density (second from left), heterogeneously dense (second from right), and extremely dense (far right). RSNA

How do hormonal contraceptives affect breast density?

How recent developments in hormonal contraceptives affect breast density is an important consideration, as an increase in density category increases cancer risk.

March 6, 2023
An example of architectural distortion in a 3D DBT mammogram, which is easier to see because the radiologist can look at the breast tissue layer-by-layer.

AI competition furthers research on computer-aided detection in breast imaging

For the challenge, eight teams were tasked with developing algorithms capable of achieving high sensitivity for lesion detection on DBT exams.

February 28, 2023
Mediolateral oblique view from a screening mammogram in a 54-year-old woman shows a small cluster of microcalcifications in the upper outer quadrant of the right breast. The right image shows a detailed spot magnification view of the calcifications. Stereotactic biopsy revealed grade 2 ductal carcinoma in situ (DCIS). RSNA image. Image of breast micro calcifications associated with breast cancer.

Why the way microcalcifications on mammograms are regarded could change

New research suggests that the tissue environment where microcalcifications of the breast are formed could hold clues into how breast cancer progresses.

February 23, 2023

Around the web

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

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