Clinicians may be able to use circulating tumor cells (CTCs) to develop a staging system that helps the treatment of metastatic breast cancer (MBC), according to research to be presented at the American Society of Clinical Oncology (ASCO) annual meeting June 1-5 in Chicago.

Konica Minolta Healthcare Americas is introducing a new worklist feature, Turn-Around-Time (TAT), for its Exa platform at the SIIM 2018 Annual Meeting May 31-June 2 in National Harbor, Maryland.

Novel technology known as phase-base amplified MRI is the first to capture the brain’s movement in conjunction with a heartbeat, opening the door for earlier detection of brain disorders and abnormalities, researchers from Stanford University and the University of Auckland announced this week.

The American Cancer Society (ACS) announced Wednesday, March 30, that it has updated its guideline for colorectal cancer screening, changing the age people at average risk should begin screening from 50 to 45.

Fujifilm Medical Systems U.S.A. announced Wednesday, May 30, that it will be exhibiting its full enterprise imaging portfolio—including Synapse 5 PACS, Synapse 3D and Synapse VNA—and highlighting a new brand, REiLI, at the SIIM 2018 Annual Meeting May 31-June 2 in National Harbor, Maryland.

On Tuesday, May 29, President Donald Trump indicated the U.S. would proceed with its planned tariffs on $50 billion in Chinese imports.

Use of a concurrent-read computer-aided detection (CAD) system when interpreting automated breast ultrasound (ABUS) examinations helps improve efficiency without negatively affecting accuracy, according to a new study published by the American Journal of Roentgenology.

Cultivating physician character in an increasingly tech-centered environment can be difficult for radiologists who are often isolated in their work, but in a medical landscape where quality patient care is key, imagers may need to venture outside of their comfort zone, a trio of Emory University radiologists wrote in Academic Radiology this May.

A group of researchers from the University of Michigan and the U.S. Department of Veterans Affairs has found that clinicians can improve patient communication and potentially increase lung cancer screening program participation by personalizing the decision-making process.

Convolutional neural networks (CNN) were more accurate than even the most expert dermatologists in detecting skin cancer, researchers reported in Annals of Oncology this week.