Two out of three women want a biopsy performed if a radiologist determines there is any chance of breast cancer, according to a new study published in the Journal of the American College of Radiology. The authors also found that women overestimate the risk of breast cancer when follow-up imaging or biopsy is recommended for low-risk mammographic abnormalities.
Measuring visceral fat area via CT could help stratify prognosis for women with renal cell carcinoma (RCC), and radiographic analyses could further guide therapeutic and surgical decisions, according to a study published in Radiology’s March edition.
Digital breast tomosynthesis (DBT) can help radiologists detect more architectural distortion (AD) lesions than 2D mammography alone, according to a new study published in Radiology.
Women who opt for partial or lower-dose radiotherapy during breast cancer treatment may experience fewer side effects while maintaining the efficacy of a full dose, researchers reported at the European Breast Cancer Conference in Barcelona this month.
A team of Ohio State University radiologists have developed artificial intelligence (AI) that can not only analyze hundreds of CT scans within minutes, but can detect the presence and urgency of hemorrhages, masses, hydrocephalus and stroke, according to the university’s paper, the Lantern.
Seattle radiologist Maria Chong, MD, a body imaging specialist for Radia, said in a new interview that artificial intelligence (AI) and machine learning will “revolutionize radiology” in the next decade.
Children with attention-deficit/hyperactivity disorder (ADHD) have reduced brain volume, researchers from the Kennedy Krieger Institute have found. The fresh research continues to shed light on how ADHD functions as a biological and cognitive condition.
