Diagnostic Imaging's Weekly Scan: December 18-December 24

In a new study examining population attributable risk proportions (PARPs) based on data from over three million screening mammography exams, researchers found that postmenopausal Black women had the highest BMI-related PARP and premenopausal Asian and Pacific Islander women had the highest breast density-related PARP for advanced 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.

Contrast-enhanced mammography detected additional lesions in 43 percent of patients and led to additional biopsies in 18.2 percent of patients, over half of whom had malignant lesions, according to a study of over 500 women presented at the recent Radiological Society of North America (RSNA) 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.

Utilizing a deep learning-based AI algorithm to differentiate between diagnostic and non-diagnostic quality of prostate MRI facilitated a 10 percent higher specificity rate for diagnosing extraprostatic extension on multiparametric MRI, according to research presented at the recent RSNA conference.

Offering an all-in-one platform of artificial intelligence (AI) applications, MyBreastAI Suite reportedly facilitates early breast cancer detection and enhances efficiency with breast imaging workflows.