Objective

To describe and compare the RATS learning curve between two surgeons in one department for lung cancer surgery using the CUSUM method.

Methods

Retrospective analysis using a prospective database on robotic-assisted lung resections performed by two different surgeons in one hospital. The CUSUM method was used to describe the learning curve.

Results

366 consecutives cases were analysed (195 for the first surgeon and 171 for the second surgeon). A traditional 3-phase pattern learning curve was found with a diminution of the operating time throughout the different phases. For Surgeon 1, phase 1 was from case 1 to 59, phase 2 from case 60 to 99 and phase 3 started at case 100. For Surgeon 2, phase 1 was from 1 to 44, phase 2 from case 45 to 79 and phase 3 started at case 80.

Conclusion

This study described our first experience with the Da Vinci Robotic System in our department. The curves had a similar shape which shows the learning curve of robotic surgery using the CUSUM method is reproducible. Furthermore, our results showed that the learning curve may improve after the programme starts in the department when the different team elements are all trained.

中文翻译：

---

肺癌机器人手术的学习曲线：COVID-19 大流行期间两名外科医生的分析

客观的

使用 CUSUM 方法描述和比较一个部门的两名外科医生进行肺癌手术的 RATS 学习曲线。

方法

使用前瞻性数据库对一家医院的两名不同外科医生进行的机器人辅助肺切除术进行回顾性分析。使用CUSUM方法来描述学习曲线。

结果

分析了 366 个连续病例（第一位外科医生 195 例，第二位外科医生 171 例）。发现传统的三相模式学习曲线减少了不同阶段的操作时间。对于外科医生 1，阶段 1 是从病例 1 到 59，阶段 2 从病例 60 到 99，阶段 3 从病例 100 开始。对于外科医生 2，阶段 1 是从病例 1 到 44，阶段 2 从病例 45 到 79，阶段 3从案例80开始。

结论

这项研究描述了我们部门首次使用达芬奇机器人系统的经历。曲线具有相似的形状，这表明使用 CUSUM 方法的机器人手术的学习曲线是可重复的。此外，我们的结果表明，当不同的团队成员都接受培训时，在部门启动该计划后，学习曲线可能会有所改善。