Brian Casey, Kate Madden Yee, Wayne Forrest, Erik L. Ridley, and Eric Barnes[email protected]2016Top 5 trends from RSNA 2016 in ChicagoWith McCormick Place in the rearview mirror, it's always useful to take a look back at radiology's showcase conference for signs of trends to come in medical imaging.December 14, 20162015Top 5 trends from RSNA 2015 in ChicagoIt's always a challenge to encapsulate an extravaganza as sprawling as the RSNA conference into neat little compartments. The fable of the blind men trying to describe an elephant comes to mind -- an apt analogy for trying to get a handle on a six-day tour de force that often leaves attendees exhausted and overwhelmed.December 9, 2015BreastTop 5 trends from RSNA 2014 in ChicagoWith RSNA 2014 in the books, now is a good time to look back on the Chicago meeting to identify the major trends affecting radiology. Top stories circulating the halls of McCormick Place included the meeting's 100th anniversary, as well as CT lung cancer screening and the rise of enterprise imaging.December 10, 2014Page 1 of 1Top StoriesCTPhoton-counting CT: The art of transitionIn a new column, Matthew Dedman of Siemens Healthineers North America discusses the benefits and challenges of transitioning to photo-counting CT.UltrasoundSuspended suits offer protection for interventional echocardiographersCTGoogle AI Studio shows potential for AI-based lung cancer detectionRisk ManagementPodcast: Whose duty is it to ensure MRI safety?Sponsor ContentModernizing Radiotherapy Workflows
![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&dpr=2&fit=crop&h=167&q=70&w=250)