18F-Fluciclovine PET/CT can help detect previously undetected lesions in patients with biochemical recurrence of prostate cancer, according to a report presented at the Society of Nuclear Medicine and Molecular Imaging (SNMMI) 2018 Annual Meeting.

Around $2 million has been funneled into the University of Minnesota’s latest healthcare project: a third MRI machine that’s expected to cut waiting times for patients who typically wait up to three weeks for a scan.

San Francisco-based tech company Bay Labs this week announced the success of its deep learning software, EchoMD AutoEF, in reducing variability in cardiovascular imaging.

Norman E. Bolus, MSPH, MPH, CNMT, was elected 2018-2019 president of the Society of Nuclear Medicine and Molecular Imaging Technologist Section (SNMMI-TS) at the Society of Nuclear Medicine and Molecular Imaging (SNMMI) 2018 Annual Meeting in Philadelphia.

After a year of soul searching and strategic review, GE announced its move today to spin off GE Healthcare into a standalone company over the next 12 to 18 months. The goal, the company said, is a leaner corporate structure with substantial reductions in debt.

In 2014, after telling his primary care physician he had noticed a small bump on his chest, Khevin Barnes was diagnosed with breast cancer. A mastectomy of his left breast followed.

Scientists have developed a novel PET radiotracer that outpaces current methods of imaging for cardiovascular bacterial infections, according to research presented at the 2018 Annual Meeting of the Society of Nuclear Medicine and Molecular Imaging in Philadelphia, Pennsylvania. 

Researchers from the University of Cambridge in England have developed a new semi-automatic 3D imaging technique, called joint space mapping (JSM), that detects tiny changes in arthritic joints, sharing their findings in a new study published by Scientific Reports.

Stella Kang, MD, MSc, was the lead author of a study that determined women who undergo breast cancer screening with mammography are much more likely to utilize other preventive services than unscreened women. She spoke to Radiology Business about the importance of that study and more.

A machine learning tool developed by researchers at Imperial College London could assess the severity of leukoaraiosis in stroke patients with greater efficiency and accuracy than the typical emergency room CT, a study published this week in Radiology states.