Image IQ: 42-year-old with Architectural Distortion on Breast Tomo

In a 10-year study involving over 5,400 women with nearly 85 percent having dense breasts, contrast-enhanced mammography (CEM) demonstrated a 95.9 percent sensitivity rate for breast cancer.

In the third episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss the challenges of expanded breast cancer screening amid a backdrop of radiologist shortages and ever-increasing volume on radiology worklists.

New research suggests that reviewing mammography images in order of ascending volumetric breast density as opposed to random reading of exams demonstrated reduced reading time and less fixation time on malignant lesions.

In the second episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss recent studies published by the Journal of the American Medical Association (JAMA) that suggested moving to more of a risk-adapted model for mammography screening.

The combination of FDA-cleared AI software for mammography triage with a medical grade edge AI platform may allow the embedding of enhanced AI detection capability within existing mammography devices.

A symptomatic first breast cancer diagnosis, prevailing breast density at a second breast cancer diagnosis and trabecular thickening on surveillance mammography were linked to mammogram-occult ipsilateral breast cancer, according to new research.