OBJECTIVES:Anatomical segmentectomy is advocated for curative resection in select patients. We investigated the long-term results of robotic anatomical segmentectomy with mediastinal nodal dissection in patients with early-stage lung cancer. METHODS:We retrospectively reviewed patients who underwent robotic anatomical segmentectomy for early-stage non-small-cell lung cancer (NSCLC). The follow-up data were obtained to determine survival and statistically significant risk factors in both univariable and multivariable models. RESULTS:Seventy-one patients had clinical stage I NSCLC (36 men, 35 women, mean age 70 ± 12 years). All patients underwent R0 resection. The mean operating time was 134 min. Ten of 71 (14%) patients were upstaged. Eight of 71 (11%) patients were upstaged due to the size of tumour in the pathological specimen, and 2 of 71 (3%) patients were upstaged due to microscopic N2 nodal metastasis. Median hospitalization was 4 days (2-31 days). Complication rate was 29%. There were no complications attributable to the surgical robot. No patient died within 90 days. Mean follow-up was 54 months (range 2 months to 9 years). The overall 5-year survival was 43%, whereas lung cancer-specific 5-year survival was 55%. The 5-year lung cancer-specific survival for pathological stage I disease was 73%. Local or mediastinal recurrence occurred in 4 of 71(5%) patients. Pathological upstaging or recurrence resulted in 0% 5-year survival. The univariable and multivariable analyses showed that advanced age and pathological upstaging were statistically significant risk factors for lung cancer-specific death. CONCLUSIONS:Robotic anatomical segmentectomy with mediastinal nodal dissection is a safe and feasible procedure. Accurate preoperative clinical staging is of critical importance for long-term survival.
BACKGROUND:Robotic lobectomy has been shown to be feasible, safe and oncologically efficacious. The actual learning curve of robotic lobectomy has yet to be defined. This study was designed to define the learning curve of robotic lobectomy.METHODS:We performed a retrospective review of prospectively accrued patients at our institution who underwent robotic lobectomy from January 2004 until December 2011. Six scatter graphs were constructed, comparing operative time, conversion rate, morbidity, mortality, length of stay and surgeon comfort with the number of consecutive cases. In each graph, a regression trendline was drawn and the change in the slope of the curve corresponding to the beginning of the plateau defined the learning curve. The overall learning curve was defined as mean ± SD of the sum of the individual learning curves.RESULTS:Based on operative times, mortality and surgeon comfort, the overall learning curve was 18 ± 3 cases. The learning curve based on operative times, mortality and surgeon comfort was 15, 20 and 19 cases, respectively. There was no association between the need for conversion and number of consecutive cases. There was a trend towards lower morbidity and decreased length of stay with greater experience. However, these parameters did not define a specific learning curve.CONCLUSIONS:Operative time, mortality and surgeon comfort were found to be key parameters for the learning curve of robotic lobectomy when performed by surgeons who are experienced with video-assisted thoracic surgery (VATS). The learning curve was 18 ± 3 cases.
BACKGROUND:The surgical management of celiac artery compression syndrome (CACS) is controversial. Controversies include the appropriate surgical technique, the surgical approach, and the utility of postoperative stents. The literature is reviewed, and a case of CACS is presented in which a robotic-assisted division of the median arcuate ligament (MAL) was performed.METHODS:Robotic-assisted treatment of celiac artery syndrome was carried out using six (five 1 cm and one 2 cm) abdominal incisions. The robotic device was used to expose the aorta and celiac artery and divide the median arcuate ligament.RESULTS:Postoperatively, the patient's postprandial abdominal pain subsided. On 16 month follow-up, the patient was doing well, tolerated an unrestricted diet without symptoms, and exhibited weight gain.CONCLUSION:This case is the second reported in the literature and demonstrates that the robotic approach to division of the MAL is feasible, safe, and efficacious.