RESUMEN
Background: Postoperative complications may occur after major lung surgery for non-small cell lung cancer (NSCLC), with a high rate of morbidity and mortality. The main objective of this study was to assess the relevance of preoperative Leicester Cough Questionnaire (LCQ) to predict postoperative complications after major lung resection for any indication. Methods: This was a retrospective cohort study conducted in the Thoracic Surgery Department of Rouen University Hospital from November 21st, 2022, to June 2nd, 2023. Patients aged ≥18 years who underwent major lung resection for any indications and filled an LCQ self-questionnaire were included. Results: Seventy-one patients were eligible for our study. One patient was lost to follow-up upon hospital discharge. Nineteen (27.1%) postoperative complications of grade ≥2 according to the Clavien-Dindo classification were observed. The mean LCQ total score was 18.11±2.56. The area under the receiver operating characteristic (ROC) curve for the LCQ result to predict postoperative complications of grade ≥2 within 30 days following the surgical intervention was 0.60 [95% confidence interval (CI): 0.45, 0.75]. Conclusions: This study failed to demonstrate the relevance of a preoperative LCQ to predict postoperative complications after major lung surgery. However, the statistical precision of this study was insufficient to show a moderate predictive performance. Further studies conducted in larger populations are needed.
RESUMEN
Minimally invasive sublobar anatomical resection is becoming more and more popular to manage early lung lesions. Robotic-assisted thoracic surgery (RATS) is unique in comparison with other minimally invasive techniques. Indeed, RATS is able to better integrate multiple streams of information including advanced imaging techniques, in an immersive experience at the level of the robotic console. Our aim was to describe three-dimensional (3D) imaging throughout the surgical procedure from preoperative planning to intraoperative assistance and complementary investigations such as radial endobronchial ultrasound (R-EBUS) and virtual bronchoscopy for pleural dye marking. All cases were operated using the DaVinci SystemTM. Modelisation was provided by Visible Patient™ (Strasbourg, France). Image integration in the operative field was achieved using the Tile Pro multi display input of the DaVinci console. Our experience was based on 114 robotic segmentectomies performed between January 2012 and October 2017. The clinical value of 3D imaging integration was evaluated in 2014 in a pilot study. Progressively, we have reached the conclusion that the use of such an anatomic model improves the safety and reliability of procedures. The multimodal system including 3D imaging has been used in more than 40 patients so far and demonstrated a perfect operative anatomic accuracy. Currently, we are developing an original virtual reality experience by exploring 3D imaging models at the robotic console level. The act of operating is being transformed and the surgeon now oversees a complex system that improves decision making.
