Key result
Robotic-assisted thoracoscopic surgery for lung resection demonstrated a significant learning curve, with total duration of surgery and console time decreasing significantly across tertiles (p < 0.001) until plateauing after 20 cases.
Observational (n=167)
Yes
p-value: p=<0.001
Robotic-assisted thoracoscopic surgery for lung resection is safe and feasible, with a learning curve of approximately 20 cases to achieve proficiency in operative time.
May inform robotic thoracic training thresholds; leaves open multicenter validation of proficiency metrics.
Background: Robotic surgery was introduced as a platform for minimally invasive lung resection in Canada in October 2011. We present the first Canadian series of robotic pulmonary resection for lung cancer. Methods: Prospective databases at 2 institutions were queried for patients who underwent robotic resection for lung cancer between October 2011 and June 2015. To examine the effect of learning curves on patient and process outcomes, data were organized into 3 temporal tertiles, stratified by surgeon. Results: A total of 167 consecutive patients were included in the study. Median age was 66 (range 27–88) years, and 46.1% (n = 77) of patients were men. The majority of patients (n = 141, 84%) underwent robotic lobectomy. Median duration of surgery was 270 (interquartile range [IQR] 233–326) minutes, and median length of stay (LOS) was 4 (IQR 3–6) days. Twelve patients (7%) were converted to thoracotomy. Total duration of surgery and console time decreased significantly (p < 0.001) across tertiles, with a steady decline until case 20, followed by a plateau effect. Across tertiles, there was no significant difference in LOS, number of lymph node stations removed, or perioperative complications. Conclusion: The results of this case series are comparable to those reported in the literature. A prospective study to examine the outcomes and cost of robotic pulmonary resection compared with video-assisted thoracoscopic surgery should be done in the context of the Canadian health care system. We have presented the first consecutive case series of robotic lobectomy in Canada. Outcomes compare favourably to other series in the literature.
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Fahim et al. (2017) conducted an observational in Non-small cell lung cancer (n=167). Robotic-assisted thoracoscopic surgery (RATS) was evaluated on Total duration of surgery and console time across temporal tertiles (p=<0.001). Robotic-assisted thoracoscopic surgery for lung resection demonstrated a significant learning curve, with total duration of surgery and console time decreasing significantly across tertiles (p < 0.001) until plateauing after 20 cases.
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