Mammography

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.

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

AI software identified breast cancer missed by radiologists on one prior screening DBT exam in 26.8 percent of patients and on three prior screening DBT exams in 11 percent of patients, according to a study involving over 300 women that was presented at the Society of Breast Imaging conference.

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.

Key features with version 1.2 of the 3D mammography algorithm include selectable thresholds for navigating sensitivity and specificity tradeoffs with AI.

Approximately 15 percent of women with abnormal screening mammography results and adverse social determinants of health (SDOH) had follow-up diagnostic mammography or breast ultrasound within 30 days, according to multinational research presented at the Society of Breast Imaging symposium.

In a recent interview, Connie Lehman, MD, PhD, discussed key changes to the National Comprehensive Cancer Network (NCCN) guidelines on breast cancer screening, including the use of AI-powered five-year risk assessment beginning at the age of 35.

In the latest episode of her “Breast Imaging in Focus” series, Manisha Bahl, MD, discusses key findings from a new study looking at partially autonomous AI-supported screening with mammography and digital breast tomosynthesis (DBT).

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

After a 2009 recommendation from the United States Prevention Services Task Force (USPSTF) against routine mammography screening for women 40-49 years of age, there was an approximate eight to 10 percent decline in mammography use for women in their 40s across different demographic subgroups, according to new research.

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.

In the latest episode of her “Breast Imaging in Focus” series, Manisha Bahl, M.D., offers a closer look at pertinent findings from the GEMINI study, including one AI integration model that facilitated over a 10 percent increase in cancer detection and a 31 percent decrease in radiologist workload.