Learning curve of robotic portal lobectomy for pulmonary neoplasms: A prospective observational study
| Autor: | Mu‐Zi Yang, Ren‐Chun Lai, Abbas E. Abbas, Bernard J. Park, Ji‐Bin Li, Jie Yang, Jin‐Chun Wu, Gang Wang, Hao‐Xian Yang |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Thoracic Cancer, Vol 12, Iss 9, Pp 1431-1440 (2021) |
| Druh dokumentu: | article |
| ISSN: | 1759-7714 1759-7706 |
| DOI: | 10.1111/1759-7714.13927 |
| Popis: | Abstract Background We aim to assess the learning curve of robotic portal lobectomy with four arms (RPL‐4) in patients with pulmonary neoplasms using prospectively collected data. Methods Data from 100 consecutive cases with lung neoplasms undergoing RPL‐4 were prospectively accumulated into a database between June 2018 and August 2019. The Da Vinci Si system was used to perform RPL‐4. Regression curves of cumulative sum analysis (CUSUM) and risk‐adjusted CUSUM (RA‐CUSUM) were fit to identify different phases of the learning curve. Clinical indicators and patient characteristics were compared between different phases. Results The mean operative time, console time, and docking time for the entire cohort were 130.6 ± 53.8, 95.5 ± 52.3, and 6.4 ± 3.0 min, respectively. Based on CUSUM analysis of console time, the surgical experience can be divided into three different phases: 1–10 cases (learning phase), 11–51 cases (plateau phase), and >51 cases (mastery phase). RA‐CUSUM analysis revealed that experience based on 56 cases was required to truly master this technique. Total operative time (p |
| Databáze: | Directory of Open Access Journals |
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