Mammography

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

The use of adjunctive AI led to higher detection of breast cancer in women with dense breasts as well as increased detection of invasive cancer and lobular cancer, according to new research involving over 100,000 screening DBT exams.

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

In the debut of her new “Breast Imaging in Focus” series, Manisha Bahl, M.D., discusses the recently published Lancet study on AI, mammography and interval breast cancer, and shares her perspective on the potential impact of these findings for breast radiologists.

Artificial intelligence scores > 73.5 percent for mammography were associated with over a threefold higher cumulative incidence rate for ipsilateral recurrence of DCIS in women treated with breast-conserving surgery, according to new research.

Employing digital breast tomosynthesis for biopsy guidance facilitated significantly lower radiation dosing than digital mammography guidance with no difference in malignancy rates, according to new research involving over 1,600 patients.

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

Catch up on a variety of new FDA clearances in radiology from the past week.

Flagging DBT images that may warrant a more expedited review, the CogNet AI-MT+ platform can reportedly be integrated into existing IT systems to facilitate workflow efficiencies for radiologists.

Wendie Berg, M.D., Stamatia Destounis, M.D., and Amy Patel, M.D., share their thoughts and perspectives on key findings from the Lancet mammography study on AI and interval breast cancer, and how they have incorporated AI into their practices.

In a recent interview, Amy Patel, M.D., discussed key targets in legislation for breast imaging in 2026 and offered advice for breast radiologists seeking to get more involved in advocacy.

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

In a comparative study involving over 105,000 women, researchers found the use of adjunctive AI for mammography triage resulted in a 16 percent lower rate of invasive interval cancers in comparison to double reading by radiologists without AI.

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

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

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

In recent interviews, Rajesh Bhayana, M.D., Manisha Bahl, M.D., and Jeremie Calais, M.D., Ph.D., shared their thoughts on agentic AI, key directions in breast imaging research and emerging trends with prostate cancer theranostics in 2026.

In a recent interview, Manisha Bahl, M.D., discussed recent research demonstrating a significant decline in the sensitivity of digital breast tomosynthesis (DBT) with increasing breast density as well as challenges in the utilization of supplemental imaging for women with dense breasts.

Catch up on a variety of new FDA clearances in radiology from the past week.

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

Offering an echogenic cutting cannula and enhanced sampling capability, the EnCor EnCompass Breast Biopsy and Tissue Removal System reportedly enables biopsy procedures across different breast imaging platforms.

From satisfaction of search to grouped microcalcifications and challenges with isodense asymmetries and blind spots, the authors of a new review discuss contributing factors and preventive measures to avoid missed diagnoses of breast cancer in mammography interpretation.

Offering a biocompatible, non-metallic alternative to metallic tumor markers, the VM1 tumor marker reportedly offers artifact-free visibility across a variety of breast imaging including mammography, ultrasound and MRI.

In what may be the largest study to assess digital breast tomosynthesis (DBT) screening of women with dense breasts, researchers noted only a 61.8 percent sensitivity for women with extremely dense breasts.

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