天美影院

Image-guided robotic bronchoscopy with Cios Spin, a 3D C-arm for pulmonology

Closing the gapImage-guided robotic bronchoscopy speeds path to lung cancer treatment

Lung cancer claims more lives globally than any other cancer, accounting for over 1.8 million deaths in 20221. Survival rates greatly depend on the stage of the cancer at diagnosis. By using robotic-assisted bronchoscopy with integrated cone beam CT, University Hospital Zurich was able to increase its Stage IA lung cancer diagnoses by almost 300 percent2.

Tool-in-lesion confirmation with Cios Spin, a 3D C-arm for pulmonology
Tool-in-lesion confirmation is an important predictor for biopsy success4. With the introduction of the integrated cone beam CT and robotic solution, the negative predictive value at University Hospital Zurich has increased.

The solution鈥檚 precision has yielded remarkable results, with a 99 percent tool-in-lesion rate and an 89.3 percent diagnostic yield2 (strict definition, 10 mm median lesion size, 15% positive bronchus sign). 鈥淔or about 90 percent of all the patients undergoing robotic-assisted bronchoscopy with integrated cone beam CT, we were able to get a diagnosis,鈥 says Gaisl. 鈥淲e successfully accessed a new patient group without negatively impacting our existing manual bronchoscopy program.鈥

Combining cone beam CT with robotic-assisted bronchoscopy has several additional advantages, as Gaisl explains: 鈥淔irst, complexity goes down for everyone. This means we can do more procedures a day. The procedure time for robotic-assisted bronchoscopy with cone beam CT is 37 minutes. This is similar to the 34 minutes needed for conventional bronchoscopy with 2D fluoroscopy [2]. Second, the radiation dose for each patient goes down. Third, we鈥檙e also able to see where we are in the lesion. Sometimes the integration is so helpful that we no longer need a second 3D spin. At USZ, the average is 1.25 spins per lesion [2].鈥

Image-guided robotic bronchoscopy with Intuitive Ion and Cios Spin, a 3D C-arm for pulmonology
CT-to-body divergence makes it necessary to update the target location for successful navigation. With its NaviLink 3D interface, Cios Spin makes it possible to update the target location within the Ion system.

Success with this technology requires a systematic approach. 鈥淚n order to achieve a stage shift for lung cancer diagnosis, we introduced the lung nodule board at our institution,鈥 explains Gaisl. 鈥淭he members of the board are dedicated thoracic radiologists, thoracic surgeons, and pulmonologists, who can then make sure that all the resources we have available are adequately allocated, and that the right patients get the right biopsy and treatment at the right time.鈥 In addition to the much better survival outcomes, earlier detection also has substantial economic implications. According to current data, monthly excess expenditures for lung cancer treatment increase significantly with disease progression, ranging from approximately 鈧3,228 for Stage IA cancer to 鈧8,293 for Stage IVB cancer3.

Image-guided robotic bronchoscopy with Intuitive Ion and Cios Spin, a 3D C-arm for pulmonology
Cone beam CT enables intraoperative confirmation.

With lung cancer remaining the leading cause of cancer-related mortality worldwide, accounting for over 1.8 million deaths annually according to WHO data1, this technological advancement represents a significant step forward. The ability to detect and diagnose lung cancer at earlier stages through robotic-assisted bronchoscopy with integrated cone beam CT could fundamentally alter the trajectory of patient outcomes in thoracic oncology.

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