Mammography

Catch up on the top radiology content of the past week.

Catch up on the latest episodes of our Breast Imaging in Focus series with Manisha Bahl, MD, MPH, FSBI, discussing research on a variety of topics including breast arterial calcification on mammograms, automated breast ultrasound, AI and GLP-1 receptor agonists.

In a recently published review of the BI-RADS v2025 manual, leading breast radiologists offered pertinent insights on key changes for reporting of mammogram, breast ultrasound and breast MRI interpretation and assessment.

Catch up on the most-well viewed radiology content in July 2026.

General radiologist assessment of mammograms with adjunctive AI led to a significant increase in cancer detection rate akin to that of breast imaging specialists, according to new research.

Catch up on the top radiology content of the past week.

In cases involving false negative suggestions from adjunctive AI for screening mammogram review, researchers found that unassisted radiologists had a 32 percent higher sensitivity rate than those who utilized AI.

Catch up on the top radiology content of the past week.

In a recent interview, Amy Patel, MD, discussed recent research on breast cancer screening, pertinent obstacles and keys to facilitating improved adherence with mammography screening.

While acknowledging key limitations, the authors of a new literature review noted that contrast-enhanced mammography offers a viable alternative to conventional imaging and breast MRI for preoperative tumor evaluation and may have a significant impact on surgical management.

The Mammomat B.brilliant’s ClearCEM image reconstruction technique reportedly utilizes advanced algorithms to facilitate improved noise reduction and lesion enhancement.

Catch up on the most well-viewed video interviews from Diagnostic Imaging in June 2026.

Catch up on the top radiology content of the past week.

The new functionalities for the AI-enabled Breast Suite software include automated identification of breast arterial calcifications and integration of prior mammograms.

Catch up on the top AI-related news and research in radiology over the past month.

In a recent interview, Constance Lehman, MD, PhD, discussed newly published research demonstrating the dynamic capability of AI-based risk scores, drawn from screening mammograms, to facilitate risk-adaptive screening.

Catch up on the top radiology content of the past week.

In the latest episode of her “Breast Imaging in Focus” series, Manisha Bahl, MD, MPH, FSBI, discusses new research findings from a study involving over 111,000 women that suggest the potential utility of GLP-1 receptor agonists for reducing breast cancer risk.

David Gruen, MD, MBA, FACR, of Advanced Radiology Consultants, shares how leading programs turned clinical evidence into operational reality.

The proportion of breast cancer potentially flagged by three different AI algorithms 10 years prior to diagnosis ranged between 12.7 to 17 percent, according to newly published retrospective research.

Catch up on the top radiology content of the past week.

Noting the potential for workload efficiencies in interpreting screening digital breast tomosynthesis (DBT) images, researchers found the use of slab reconstruction technology improved specificity without any impact on sensitivity or cancer detection rate.

Catch up on the top radiology content of the past week.

Catch up on the most-well viewed radiology content in May 2026.

Catch up on the most well-viewed video interviews from Diagnostic Imaging in May 2026.