Applying an edema classification system to preoperative MRI exams provides insight into whether patients' breast cancer will spread.

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

An accidental discovery could have future implications for the material makeup for MRI contrast media.

The new technique uncovers hidden inflammation in patients who, despite undergoing extensive treatment for the condition, had worsening symptoms.

Johns Hopkins researchers demonstrated the worthiness of the concept this year.

This could be especially helpful when timely clinical decisions relative to the use of a contrast agent need to be made.

With the earth’s warmest March on record in 175 years barely in the rearview mirror, a team of radiology experts says medical imaging must step up its sustainability efforts. 

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.