Nuclear medicine experts found that 18F-PSMA-1007 performed just as well as 68Ga-PSMA for staging individuals with intermediate- or high-risk forms of the disease.

Researchers at the University of Virginia are exploring ways to break through the blood-brain barrier using MRI-guided focused ultrasound.

The society recently announced this “unprecedented collaboration,” which was made possible by the help of 60 physician volunteers and a fellow imaging interest group. 

The moment may be ripe for MRI scanners that could fit into clinicians’ offices and leverage AI for optimally efficient workflows, interpretations and treatment plans.

A predictive algorithm has distinguished patients free of obstructive sleep apnea from those with three levels of the condition—mild, moderate and severe—with 91% accuracy. And it did so using only 3D photos of the subjects’ faces.

Using brain MRI and a deep learning network, researchers have achieved 97% accuracy at classifying a gene mutation indicative of growth in localized gliomas.

A deep-learning algorithm has accurately measured 26 pairs of uneven leg lengths on children’s x-rays at a rate 96 times faster than that recorded by an experienced, subspecialty-trained pediatric radiologist using manual means.

For finding microcalcifications in screening exams, full-field digital mammography now has little to recommend it over reduced-radiation 2D synthetic mammography.