Integrating 18FDG-PET/CT radiomic tumor and bone marrow features can help predict outcomes in patients with non-small cell lung cancer, according to a Sept. 17 study published in Radiology.

FUJIFILM Medical Systems U.S.A., Inc., a leading provider of Enterprise Imaging and Medical Informatics solutions, has just launched Synapse Cardiology PACS 5.6.1, the company’s next-generation server-side rendering solution to help streamline image review and reporting across cardiovascular modalities. 

AI can predict when patients undergoing radiation treatment for head and neck cancer may lose significant weight or require a feeding tube, according to findings presented at the 2019 annual meeting of the American Society for Radiation Oncology (ASTRO).

The American College of Radiology (ACR) has acquired the My CT Colonography center online locator, an online tool originally developed by Bracco Diagnostics.

Measured mass sizes are considerably smaller on synthetic mammography (SM) images than full-field digital mammography (FFDM) images, according to new findings published in Academic Radiology.

The National Lipid Association has issued a position statement recommending the use of icosapent ethyl for treating patients with atherosclerotic CVD or type 2 diabetes, rooting its endorsement in the positive results of the REDUCE-IT study.

A new machine learning approach can predict the negative side effects of radiation treatment in patients with head and neck cancers. The findings, presented at the American Society for Radiation Oncology (ASTRO) annual meeting, can help select patients who might need a more tailored care approach.

A study published in the Annals of Internal Medicine Sept. 17 suggests daily aspirin could result in a net benefit for some people without established CVD, further muddying the debate over whether aspirin is an effective preventive tool for those without heart disease.

The incidence of CIED infection in the U.S. has been increasing for the past two decades, according to work published in JACC: Clinical Electrophysiology this month.

RSNA has officially launched a new AI challenge: the RSNA Intracranial Hemorrhage Detection and Classification Challenge. This is the group’s third annual AI challenge.