Siemens Healthineers is highlighting technology that increases early lung cancer diagnoses at the World Conference on Lung Cancer (WCLC) being held in Barcelona, Spain.
The technology was developed in collaboration with Intuitive Imaging Informatics and combines Ion robotic bronchoscopy with Cios Spin, a mobile C-arm that uses conebeam CT (CBCT) to generate three-dimensional CT-like images, the company said.
It is being used at the University Hospital of Zurich in Switzerland and has led to a 291% increase in stage 1A lung cancer diagnoses, as well as a 69% increase in overall diagnoses of the disease and a diagnostic performance rate of 89%, according to Siemens.
![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)