The solution integrates robotic bronchoscopy with mobile cone beam CT imaging, reportedly increasing Stage 1A diagnoses by 291% in early use.
Siemens Healthineers has introduced a new system for lung cancer diagnosis at the IASLC World Conference on Lung Cancer in Barcelona. Developed in collaboration with Intuitive, the system combines the Ion robotic bronchoscopy platform with the Cios Spin, a mobile C-arm that generates 3D CT-like images using cone beam CT (CBCT) technology to enable earlier and more precise diagnoses.
The University Hospital of Zurich, an early European adopter, has reported a 291% increase in stage 1A lung cancer diagnoses and a 69% increase in overall diagnoses of the disease after implementing the technology. The system achieves a diagnostic performance rate of 89%, even for small peripheral lesions with a median size of 10 mm that have no airway leading to the lesion, according to a release from Siemens Healthineers. The tool’s location within the lesion is reported as correct in 99% of cases.
The Importance of Early Detection
Lung cancer remains the leading cause of cancer-related deaths worldwide, claiming more than 1.8 million lives each year. The five-year survival rate varies significantly depending on the stage at which the disease is detected: It is 84% for stage 1A patients but drops dramatically to between 4% and 8% for stage IV patients.
In this case, integrating CBCT into robotic-assisted bronchoscopy provides operational benefits, according to a release from Siemens Healthineers. With an average of 37 minutes, these procedures are as quick as conventional bronchoscopy and are more efficient: After the learning curve, radiation dose is reduced by 26%, fluoroscopy time by 28%, and the number of CBCT spins by 12%, the company reports. Furthermore, procedural complexity goes down enabling a greater number of procedures to be performed each day.
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