ACR blasts breast imaging study as misleading

For patients previously assessed with LI-RADS LR-4 and LR-M presentations based on MRI or CT findings, the use of contrast-enhanced ultrasound led to 30 percent of these patients having LR-5 assessments definitive for hepatocellular carcinoma.

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.

The latest ultrasound software update from Clarius includes new artificial intelligence (AI) capabilities, coding assistance and a variety of advances tailored to different fields of medicine.

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.

Emerging research suggests that a deep learning model may offer 92 percent sensitivity in lung tumor detection on CT scans and up to a 59 percent reduction in tumor segmentation time.

For patients with mild cognitive impairment (MCI), early changes with respect to decreased intra-network connectivity involving the default mode network or salience network may aid in differentiating between the development of Alzheimer’s disease and Parkinson’s disease, according to new MRI research.