Diagnostic Imaging's Weekly Scan: June 7 — June 13

Welcome to Diagnostic Imaging’s Weekly Scan, which offers an opportunity to catch up on the most well-viewed radiology content of the past week.

Continuing to affirm the potential merits of AI in risk stratification for breast cancer, a new study suggests that AI may predict the development of breast cancer up to 10 years prior to diagnosis. The proportion of breast cancer potentially flagged by three different AI algorithms 10 years prior to diagnosis ranged between 12.7 to 17 percent, according to recently published retrospective research in Radiology.

In recent interviews, Emanuel Kanal, MD, and Tobias Gilk, MRSO, MRSE, noted a lack of point-of-care safety requirements for MRI, a lack of state oversight, and a prevailing lack of minimum standards overall for MRI safety.

For men with high clinical risk for prostate cancer (PCa) and a lack of significant findings on mpMRI, triage use of PSMA PET/CT resulted in a 49 percent reduction of biopsies and an 18 percent reduction in detection of clinically insignificant PCa, according to newly published research in Lancet Oncology.

In a recent interview, Nina Kottler, MD, discussed the challenges with traditional radiology reporting, its impact on cognitive load and the recently launched AI-enabled platform Mosaic Reporting.

Use of the glucagon receptor/glucagon-like peptide-1 (GLP-1) receptor dual agonist led to a > 30 percent reduction in liver fat content in nearly 85 percent of obese patients with at-risk MASLD, according to MRI findings in new phase 3 research published in Nature Medicine.