Diagnostic Imaging's Weekly Scan: October 12 — October 18

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.

While a new meta-analysis of the PI-RADS v2.1 criteria showed 96 percent and 88 percent sensitivity rates for PI-RADS category > 3 and PI-RADS category > 4 assessments respectively, researchers noted a high risk of bias in 29 percent of the reviewed studies.

New research involving over 82,000 women suggests that concordance between radiologist interpretation and AI assessment of screening mammography may be associated with significantly higher risks of future breast cancer than unassisted radiologist evaluation alone.

In the second part of a recent interview with Diagnostic Imaging, Emmanuel S. Antonarakis, M.D. discusses PSMA PET agents in current trials and cell surface proteins that may offer targeting utility in prostate cancer imaging beyond PSMA.

New research suggests that the combination of key radiomic features and deep learning AI may significantly improve chest computed tomography (CT) differentiation of invasive adenocarcinoma (IAC), atypical adenomatous hyperplasia and adenocarcinoma in situ (AAH + AIS) and inflammatory nodules (IN).

Through enhanced data interoperability and access to patient histories, the newly launched cloud-based platform InteleHeart may facilitate better communication and workflow efficiencies for radiologists and cardiologists.

Morris Panner shared his thoughts on InteleHeart in a recent interview with Diagnostic Imaging.

Watch the video summary below of Diagnostic Imaging’s Weekly Scan.