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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Example of various breast MRI protocol sequences that offer different types of soft tissue enhancement. Imaging performed on a Siemens Magnetom system. Breast MRI can help see through dense breast tissue to better detect cancers. #densebreasts #Breastdensity #BreastMRI

MRI-based radiomics boosts triple-negative breast cancer detection

"The present study validated the feasibility of using MRI-based radiomics to identify a disease prone to missed diagnosis and misdiagnosis," experts involved in the study said.

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Deep learning expedites normal findings on ultrafast breast screenings

AI can safely and accurately identify healthy breast tissue on ultrafast breast MRI, negating the need for a radiologist’s closer look and, in the process, lowering cancer screening costs and widening patient access to breast MRI.

A comparison of standard 2D mammography (right) and digital breast tomosynthesis (DBT), or 3D mammography (left). The DBT creates a data set of 1 mm slices that the radiologist can look through to see more detail in suspect areas and determine if it dense breast tissue is masking a tumor.

DBT not the superior modality for assessing BI-RADS 4 breast lesions

Assessing more than 11,000 patients with lesions designated as BI-RADS 4, radiologists using digital breast tomosynthesis found no significant diagnostic advantages over standard 2D mammography.

Breast ultrasound of a 62-year-old woman with benign reactive adenopathy after COVID-19 vaccination. Image from Academic Radiology.

Reactive lymphadenopathy slower to resolve after Moderna COVID vaccination

Imaging features were also examined as predictive time to resolution factors, with cortical thickness of the nodes being of particular interest.

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Large study details new associations between breast cancer risk, breast density and benign breast disease

Providers screening women with dense breasts and benign breast disease should consider individualized mammogram protocols for these patients, authors of the study suggested.

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Malignant architectural distortion ably diagnosed on breast imaging by human-AI combo

Combining ensemble AI models with reads from breast radiologists of mixed experience levels can help health systems consistently diagnose malignant architectural distortion on mammography.

breast cancer screening mammography

Imaging features predict survival in patients with luminal breast cancer

Researchers have developed a prediction model that takes into account both imaging (post-NAC breast MRI) and clinical-pathologic features when forecasting patients' overall survival.

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Most states' breast cancer screening plans do not comply with USPSTF guidelines

Of the 51 plans, just 31% were consistent with the USPSTF recommendations pertaining to the starting age and frequency of screening women who are at average risk of developing breast cancer.

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