Sony shows mammo printer

New research showed a 96 to 97 percent sensitivity for contrast-enhanced mammography (CEM) with an increased iodine delivery rate facilitating robust contrast enhancement for women with aggressive 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.

High allostatic load, which has been linked to an increased incidence of breast cancer and all-cause mortality, is more than twice as likely to occur in Black and Hispanic women in comparison to White women, according to mammography research presented at the American Society of Clinical Oncology (ASCO) conference.

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.

In a study involving over 12,000 Asian women, researchers found that an artificial intelligence (AI) model converted over 83 percent of false positives in patients with initial BI-RADS 3 and 4 assessments into benign BI-RADS categories.

Emerging research suggests that radiomic breast texture features extracted from full-field digital mammography may bolster prognostic assessments of invasive breast cancer risk beyond traditional risk factors.