Aunt Minnie (7/2) reports that assessing the risk of breast cancer in five-year increments in women with dense breast tissue is a more effective way to determine the need for supplemental imaging than scanning all women with dense tissue, according to a study published online in JAMA Internal Medicine.

Aunt Minnie (7/2) reports on a deep-learning model created using data from a single breast MR image can help predict the five-year risk for women whose chances of developing breast cancer are higher, according to a recent study from American Journal of Roentgenology.

Health Imaging (6/27) reports that while radiologists can encounter challenges when reading screening mammograms, a new study published in the Journal of the American College of Radiology (JACR) reveals that supplemental training has the potential to improve their performance on this front.

KAMR Local 4 News (6/25) reports that a new study published in JAMA Internal Medicine finds that 3D mammography screenings rose rapidly from 13 percent in 2015 to nearly 43 percent in 2017.

Health Imaging (6/25) reports that while most studies demonstrating the benefits of digital breast tomosynthesis (DBT) have been observational, use of the modality has risen dramatically over the past few years, according to a study of more than nine million women published in JAMA Internal Medicine.