Diagnostic Imaging's Weekly Scan: October 11 — October 17

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.

The use of adjunctive CT bone reading software in women with breast cancer detected between 8 to 22 percent more metastatic lesions for reviewing radiologists and reduced CT interpretation time by 50 percent or more, according to a new study in Academic Radiology.

In the latest episode of her Breast Imaging in Focus series, Manisha Bahl, MD, MPH, FSBI, discusses new research comparing mammography-based AI models for breast cancer detection and short-term risk prediction, and whether they can be used interchangeably.

Emerging international multicenter research, published in Radiology, suggests that an AI model may offer enhanced detection of prostate cancer (PCa) on MRI in comparison to evaluation by unassisted radiologists. The evaluated AI model offered an 89 percent AUC for prostate cancer detection in external validation testing.

Tightness of the high-convexity sulci (THC) on brain MRI was associated with nearly threefold higher odds of cognitive decline over five to seven years of follow-up, according to a new prospective study in Radiology involving over 2,100 community-dwelling senior citizens.

In a recent episode of our Molecular Imaging in Focus series, Jack Andrews, MD, discussed pertinent findings from a recent intra-patient comparative study of PSMA PET agents in men with recurrent prostate cancer presented at the recent ASTRO conference.