RSNA lowers hall lighting to improve PACS viewing
RSNA lowers hall lighting to improve PACS viewingA new exhibit hall at McCormick Place in Chicago won't be the only change at this year's Radiological Society of North America meeting. In response to repeated requests from exhibitors over the
RSNA lowers hall lighting to improve PACS viewing
A new exhibit hall at McCormick Place in Chicago won't be the only change at this year's Radiological Society of North America meeting. In response to repeated requests from exhibitors over the last several years, lighting levels will be reduced in both halls to accommodate the proliferation of video displays on the exhibit floor and in scientific presentations, according to the RSNA. In Hall A, also known as the South Building, the lighting level will be 90 foot-candles, down from 130 foot-candles at full lighting. In Hall B, also known as the North Building, lighting will be 70 foot-candles, compared with 110 foot-candles at full lighting.
SNMMI: What a New Meta-Analysis Reveals About Radiotracers for PET/CT Detection of PCa
June 22nd 2025While (68Ga)Ga-PSMA-11 offers a pooled sensitivity rate of 92 percent for prostate cancer, (18F)-based radiotracers may offer enhanced lesion detection as well as improved imaging flexibility, according to a meta-analysis presented at the Society for Nuclear Medicine and Molecular Imaging (SNMMI) conference.
GE HealthCare Unveils Enhanced LesionID Pro at SNMMI Conference
Published: June 21st 2025 | Updated: June 21st 2025Emphasizing a zero-click experience, the updated LesionID Pro software, to be introduced at the SNMMI conference, reportedly provides AI-powered automated insights into whole-body tumor burden with PET and SPECT imaging.
Can CT-Based Deep Learning Bolster Prognostic Assessments of Ground-Glass Nodules?
June 19th 2025Emerging research shows that a multiple time-series deep learning model assessment of CT images provides 20 percent higher sensitivity than a delta radiomic model and 56 percent higher sensitivity than a clinical model for prognostic evaluation of ground-glass nodules.
