Aunt Minnie (11/7) reports that when radiologists use artificial intelligence (AI) with digital breast tomosynthesis (DBT), their cancer detection performance and efficiency improve, according to data to be presented at the upcoming Radiological Society of North America (RSNA) meeting.

Health Imaging (10/28) reports on a new study from the Journal of the American College of Radiology found that only 74% of women with breast imaging and reporting data system (BI-RADS) category 3 lesions completed optimal follow-up.

Aunt Minnie (10/28) reports that adding screening digital breast tomosynthesis (DBT) to digital mammography reduces the number of women classified as BI-RADS 3 and, therefore, the number of women who are recommended for short-term follow-up, according to a study published in Academic Radiology

Health Imaging (10/22) report that Chinese researchers have created a mammography-based radiomics model that can help radiologists distinguish cancerous lesions from those that aren’t harmful, publishing their research Oct. 20 in the European Journal of Radiology.

Health Imaging (10/18) A group of three researchers set out to better understand why many women still do not seek out breast cancer diagnosis, and if age or various comorbidities have any impact on mammography use, publishing their findings in the Journal of the American College of Radiology.