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 System TM . 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.

Background: Nowadays, video-assisted thoracoscopic surgery (VATS) and robotic-assisted thoracoscopic surgery (RATS) are known to be safe and efficient surgical procedures to treat early-stage non-small cell lung cancer (NSCLC). We assessed whether RATS increased disease-free survival (DFS) compared with VATS for lobectomy and segmentectomy. Methods: This retrospective cohort study included patients treated for resectable NSCLC performed by RATS or VATS, in our tertiary care center from 2012 to 2019. Patients’ data were prospectively recorded and reviewed in the French EPITHOR database. Primary outcomes were 5-year DFS for lobectomy and 3-year DFS for segmentectomy, compared by propensity-score adjusted difference of Kaplan–Meier estimates. Results: Among 844 lung resections, 436 VATS and 234 RATS lobectomies and 46 VATS and 128 RATS segmentectomies were performed. For lobectomy, the adjusted 5-year DFS was 60.9% (95% confidence interval (CI) 52.9–68.8%) for VATS and 52.7% (95%CI 41.7–63.7%) for RATS, with a difference estimated at −8.3% (−22.2–+4.9%, p = 0.24). For segmentectomy, the adjusted 3-year DFS was 84.6% (95%CI 69.8–99.0%) for VATS and 72.9% (95%CI 50.6–92.4%) for RATS, with a difference estimated at −11.7% (−38.7–+7.8%, p = 0.21). Conclusions: RATS failed to show its superiority over VATS for resectable NSCLC.

OBJECTIVES The objective of this study was to assess the learning curve (LC) of robot-assisted lung segmentectomy and to evaluate hospital-related costs. METHODS We conducted a retrospective study of Robot-assisted thoracic surgery (RATS) segmentectomies performed by 1 surgeon during 5 years. Perioperative and medical device data were collected. The LC, based on operating time, was assessed by Cumulative SUM analysis and an exponential model. Cost of care was estimated using the French National Cost Study method. RESULTS One hundred and two RATS segmentectomies were included. The LC was completed at ∼30 procedures according to both models without significant difference in patients’ characteristics before or after the LC. Mean operative time decreased from 136 min [95% confidence intervals (CI) 124–149] for the first 30 procedures to 97 min (95% CI 88–107) for the last 30 procedures. Mean length of stay decreased non-significantly (P = 0.10 for linear trend) from 8.1 days (95% CI 6.1–11.0) to 6.2 days (95% CI 4.9–7.9). The overall costs for the last 30 procedures as compared with the first 30 did not significantly decrease in the primary economic analysis but significantly decreased (P = 0.02) by €1271 (95% CI −2688 to +108, P = 0.02 for linear trend) after exclusion of 1 outlier (hospitalization-related costs > €10 000). After exclusion of this outlier, costs related to EndoWrist® instruments significantly decreased by €−135 (95% CI −220 to −35, P = 0.004), whereas costs related to clips decreased non-significantly (P = 0.28). CONCLUSIONS The LC was completed at ∼30 procedures. Inexperienced surgeons may have higher procedure costs, related to consumable medical devices and operating time.

A best evidence topic in cardiovascular surgery was written according to a structured protocol. The question addressed was what are the optimum treatment modality and timing of intervention for blunt thoracic aortic injury (BTAI) in the modern era? Of the 697 papers found using the reported search, 14 (5 meta-analyses, 2 prospective and 7 retrospective studies) represented the best evidence to answer the clinical question. The author, journal, country, date of publication, patient group studied, study type, relevant outcomes, results and weakness of these papers are tabulated. All five meta-analyses reported a reduction in mortality with thoracic endovascular aortic repair (TEVAR) compared with open repair (OR), but only four found the same benefit on paraplegia rate. Similarly, the two prospective and four retrospective studies showed significantly lower mortality with TEVAR than with OR. Only one study (a meta-analysis) reported a significantly lower stroke rate with TEVAR than with OR, whereas the 13 others reported a similar or even higher stroke rate. Other complication rates were identical. Four studies demonstrated that non-operative management (NOM) as a treatment option for BTAI was associated with increased mortality, even if it has declined in recent years. One study emphasized that some cases with minimal aortic injuries (Grade I and II on CT scan) could benefit from NOM. Regarding the timing of repair, only three studies analysed outcomes of delayed repair and reported significantly lower mortality than for early repair. We conclude that with lower mortality and similar overall complications including paraplegia but higher stroke rate, TEVAR is the most suitable treatment for BTAI in the modern era, where expertise exists, especially for cases of multiple associated injuries and in the older age group. Delayed aortic repair can be proposed based on CT scan analysis, but emergent repair should still be advocated for imminent free aortic rupture. NOM remains a therapeutic option but only with selected patients.

OBJECTIVES Our goal was to report our midterm results using imaging-assisted modalities with robotic segmentectomies for non-small-cell lung cancer (NSCLC). METHODS This was a retrospective study of all robotic segmentectomies, with confirmed NSCLC, performed at our general and thoracic surgery unit in the Rouen University Hospital (France), from January 2012 through December 2019. Benign and metastatic lesions were excluded. Data were extracted from the EPITHOR French nationwide database. RESULTS A total of 121 robotic segmentectomies were performed for 118 patients with a median age of 65 (interquartile range: 60, 69) years. The majority had clinical stage T1aN0M0 (71.9%) or T1bN0M0 (13.2%). The mean (standard deviation) number of resected segments was 1.93 (1.09) with 80.2% imaging-assisted segmentectomies. Oriented (according to tumour location) or systematic lymphadenectomy or sampling was performed for 72.7%, 23.1% and 4.1% of patients. The postoperative course was uneventful for 94 patients (77.7%), whereas 34 complications occurred for 27 patients (22.3%), including 2 patients (1.7%) with Clavien-Dindo ≥III complications. The mean thoracic drainage duration was 4.12 days, and the median hospital stay was 4 days (interquartile range: 3, 5) after the operation. The 2-year survival rate was 93.9% (95% confidence interval: 86.4–97.8%). Excluding stage IV (n = 3) and stage 0 tumours (n = 6), the 2-year survival rate was 95.7% (95% confidence interval: 88.4–98.8%) compared to an expected survival rate of 94.0% according to stage-specific survival rates found in a large external reference cohort. CONCLUSIONS Imaging-guided robotic-assisted thoracic surgery segmentectomy seems to be useful and oncological with good midterm results, especially for patients with early-stage NSCLC.