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Researchers have found diffusion-weighted magnetic resonance imaging (DWI) or gadolinium-enhanced T1-weighted volumetric interpolated breath-hold examination (VIBE) sequences are the most efficient MRI sequences for prostate cancer diagnosis, according to new research published online on Oct. 17 in the American Journal of Roentgenology.

In patients with acute decompensated heart failure (ADHF), right ventricular (RV) strain analysis can provide additional support to traditional risk assessment methods, wrote authors of a new Circulation: Cardiovascular Imaging study.

A new study found that rates of supplemental screening among black women with dense breasts increased after the passage of statewide mandatory breast density notification laws, according to research published Oct. 18 in the Journal of the American College of Radiology.

“For those who are unfamiliar with the field of machine learning (ML), the emerging research can be daunting, with a wide variation in the terms used and the metrics presented,” wrote Guy S. Handelman, with Belfast City Hospital in Northern Ireland, U.K., in a recent AJR perspective.

Continuing its efforts to empower clinicians and patients in their fight against breast cancer, GE Healthcare today launched the Invenia Automated Breast Ultrasound (ABUS) 2.0 in the United States.

A new proposal released Oct. 18 by the FDA to strengthen cybersecurity protection for medical devices, including medical imaging equipment, will supersede a guidance originally issued in 2014.

A $1.6 million, four-year grant from the National Cancer Institute of the National Institutes of Health (NIH) was awarded to a researcher from Tulane University in Louisiana to develop a prostate cancer scanner that can check whether all traces of cancer have been removed after surgery, according to The Associated Press.

In patients with liver cirrhosis, four-dimensional (4D) flow MRI can help indicate the risk of bleeding in gastroesophageal varices and reduce the need for invasive endoscopy procedures, wrote authors of an Oct. 16 Radiology study.

Artificial Intelligence (AI) Helps Breast Imaging Facilities Improve Mammography Quality.