Dear AuntMinnie Member,
News from the technical exhibits always generates significant interest at RSNA meetings, so perhaps it's no surprise that our most highly-viewed article from RSNA 2022 featured new product launches at Philips. Meanwhile, our coverage of developments at Siemens Healthineers wasn't too far behind, coming in at #4 in the rankings based on member page views.
Our second-most popular story shared how an abbreviated breast MRI exam could be an alternative to conventional MRI for supplemental breast cancer screening in high-risk women.
Although imaging industry consultant Michael J. Cannavo wasn't able to make it to Chicago this year, he fortunately was still able to produce his always much-anticipated annual PACSman Awards. His entertaining column was our third-highest viewed story from RSNA 2022.
Other articles making our Top 10 list included coverage on how PET/CT outperformed liver biopsy in patients with neuroendocrine tumors (NETs), how x-ray and MRI showed a link between steroid injections and worsened arthritis, and how to avoid traps in integrating artificial intelligence.
Click on the links below to view the rest of our top stories from RSNA 2022. And for more articles and videos from the meeting, please check out our RADCast @ RSNA.
![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)
