Specialty CT manufacturer Xoran has now installed 1,000 of its compact conebeam CT systems worldwide.
Xoran's flagship MiniCAT scanner provides upright, point-of-care imaging of the sinuses, skull base, and temporal bones. Other offerings include its XoranConnect cloud-based PACS and backup system, as well as veterinary imaging systems and software.
In other recent news, Xoran was awarded a grant from the U.S. National Institutes of Health (NIH) National Heart, Lung, and Blood Institute to support research and development efforts related to lung CT. As part of the grant, the vendor has proposed an open-bore, mobile CT scanner to help in identifying lung disease.
What's more, the company has proceeded to the second aim of a Small Business Initiative Research (SBIR) grant from the NIH and National Cancer Institute. Xoran said it's now working to demonstrate the potential of integrating surgical navigation capability into a mobile CT device for use in intraoperative imaging.
![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)
