Learning curve of robotic surgery for lung cancer: analysis for two surgeons during the COVID-19 pandemic

ObjectiveTo describe and compare the RATS learning curve between two surgeons in one department for lung cancer surgery using the CUSUM method.MethodsRetrospective analysis using a prospective database on robotic-assisted lung resections performed by two different surgeons in one hospital. The CUSUM method was used to describe the learning curve.Results366 consecutives cases were analysed (195 for the first surgeon and 171 for the second surgeon). A traditional 3-phase pattern learning curve was found with a diminution of the operating time throughout the different phases. For Surgeon 1, phase 1 was from case 1 to 59, phase 2 from case 60 to 99 and phase 3 started at case 100. For Surgeon 2, phase 1 was from 1 to 44, phase 2 from case 45 to 79 and phase 3 started at case 80.ConclusionThis study described our first experience with the Da Vinci Robotic System in our department. The curves had a similar shape which shows the learning curve of robotic surgery using the CUSUM method is reproducible. Furthermore, our results showed that the learning curve may improve after the programme starts in the department when the different team elements are all trained.