Mammography

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.

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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.

After the U.S. Preventive Services Task Force (USPSTF) updated its biennial mammography screening recommendations to begin at 40 years of age, women in their 40s accounted for approximately 50 percent of all screening mammography exams, according to new study findings to be presented at the American Society of Clinical Oncology (ASCO) conference.

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

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

Delayed-only image acquisition for contrast-enhanced mammography after neoadjuvant chemotherapy offered a greater than 17 percent higher sensitivity rate than early-only image acquisition for detecting residual disease, according to a new study.

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Researchers estimated that 17.9 million middle-aged women in the United States are overdue for breast, cervical or colorectal cancer screening, according to a new cross-sectional study.

In the latest episode of her “Breast Imaging in Focus” series, Manisha Bahl, MD, MPH, FSBI, discusses a new study of breast arterial calcification on mammography and practical clinical implications for breast radiologists.

In a recent interview with Diagnostic Imaging, Leslie Lamb, MD, MSc, discussed findings from new mammography research that showed an 89.3 percent sensitivity for detecting invasive lobular carcinoma (ILC) with adjunctive AI.

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

In a recent interview with Diagnostic Imaging, Wendie Berg, MD, PhD, shared her perspective on various aspects of the controversial breast cancer screening guidance issued by the American College of Physicians (ACP), including the use of supplemental imaging in women with dense breasts.

Researchers found that deep learning assessment of mammograms had an 18 percent higher accuracy than breast density in predicting future breast cancer within five years, according to a new study involving over 67,000 women.

In a recent interview with Diagnostic Imaging, Manisha Bahl, MD, MPH, SBI, offers pertinent insights on the controversial breast cancer screening guidance recently issued by the American College of Physicians (ACP).

In a roundup of breast imaging news and research from April 2026, we take a look back at pertinent findings with AI and digital breast tomosynthesis (DBT), breast MRI studies and breast cancer screening guidelines from the National Comprehensive Cancer Network (NCCN) and the American College of Physicians (ACP).

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

In a recent interview, Stamatia Destounis, MD, offered her perspective about the recent American College of Physicians (ACP) guidance on breast cancer screening and concerns over recommendations in women with dense breasts and biennial versus annual mammography screening.

Called a “star physician” by President Trump, Nicole Saphier, MD, a board-certified breast radiologist and associate professor at Weill Cornell Medical College, “is a tireless advocate for women’s health,” according to American College of Radiology (ACR) CEO Dana H. Smetherman, MD.

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

In recent interviews with Diagnostic Imaging, Wendie Berg, MD, PhD, Stamatia Destounis, MD, and Manisha Bahl, MD, shared their concerns about the recent breast cancer screening guidance from the American College of Physicians.

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