The Reading Room Podcast: Emerging Concepts in Breast Cancer Screening and Health Equity Implications, Part 1

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.

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.

In a study looking at the impact of experience and case volume of breast screening radiologists, researchers found that reviewing more than 150 cases per week was necessary to achieve an 80 percent rate of true-positive assessments for malignant calcifications.

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.

For patients with extremely dense breasts, contrast-enhanced mammography offered greater than 60 percent higher sensitivity than low-energy mammography for diagnosing breast cancer, according to new research.

The inclusion of the 3D imaging technology PlatinumTomo in the Mammomat B.brilliant device reportedly enables clinicians to obtain 50-degree 3D images in less than five seconds.