These trends include growth in 3D mammography, supplemental imaging for women with dense breasts and in the role of artificial intelligence.

The modality outperformed digital breast tomosynthesis, handheld ultrasound and automated breast ultrasound for cancer detection in a large cohort of women with dense breast tissue.

Prior to 2018, it was recommended that women at higher-than-average risk undergo supplemental breast MRI screening only if they had a personal history of breast cancer in addition to carrying a hereditary breast cancer gene mutation.

JoAnn Pushkin, breast cancer survivor and executive director of DenseBreast-info.org, sounded the alarm on the lack of awareness surrounding breast density and its associated cancer risks during a presentation at this year’s annual RSNA meeting.

Synthesizing contrast-enhanced imaging from pre-contrast inputs using deep learning can help overcome obstacles involved in the use of GBCAs.

Personalized breast cancer screening programs could help women better understand their personal cancer risks and guide providers in recommending mammographic assessments based on these risks. 

Connie Lehman, MD, PhD, chief of breast imaging, co-director of the Avon Comprehensive Breast Evaluation Center at the Massachusetts General Hospital, and professor of radiology at Harvard Medical School, discusses trends she sees in breast imaging.

Connie Lehman, MD, PhD, chief of breast imaging, co-director of the Avon Comprehensive Breast Evaluation Center at the Massachusetts General Hospital, explains why she thinks contrast-enhanced mammography will likely become the go-to supplemental imaging modality for women with dense breasts.