Vargas Maria V, Moawad Gaby, Denny Kathryn, Happ Lindsey, Misa Nana Yaa, Margulies Samantha, Opoku-Anane Jessica, Abi Khalil Elias, Marfori Cherie
Division of Gynecology, George Washington University Medical Faculty Associates, Washington, DC.
Division of Gynecology, George Washington University Medical Faculty Associates, Washington, DC.
J Minim Invasive Gynecol. 2017 Mar-Apr;24(3):420-425. doi: 10.1016/j.jmig.2016.12.016. Epub 2016 Dec 24.
To assess whether a robotic simulation curriculum for novice surgeons can improve performance of a suturing task in a live porcine model.
Randomized controlled trial (Canadian Task Force classification I).
Academic medical center.
Thirty-five medical students without robotic surgical experience.
Participants were enrolled in an online session of training modules followed by an in-person orientation. Baseline performance testing on the Mimic Technologies da Vinci Surgical Simulator (dVSS) was also performed. Participants were then randomly assigned to the completion of 4 dVSS training tasks (camera clutching 1, suture sponge 1 and 2, and tubes) versus no further training. The intervention group performed each dVSS task until proficiency or up to 10 times. A final suturing task was performed on a live porcine model, which was video recorded and blindly assessed by experienced surgeons. The primary outcomes were Global Evaluative Assessment of Robotic Skills (GEARS) scores and task time. The study had 90% power to detect a mean difference of 3 points on the GEARS scale, assuming a standard deviation (SD) of 2.65, and 80% power to detect a mean difference of 3 minutes, assuming an SD of 3 minutes.
There were no differences in demographics and baseline skills between the 2 groups. No significant differences in task time in minutes or GEARS scores were seen for the final suturing task between the intervention and control groups, respectively (9.2 [2.65] vs 9.9 [2.07] minutes, p = .406; and 15.37 [2.51] vs 15.25 [3.38], p = .603). The 95% confidence interval for the difference in mean task times was -2.36 to .96 minutes and for mean GEARS scores -1.91 to 2.15 points.
Live suturing task performance was not improved with a proficiency-based virtual reality simulation suturing curriculum compared with standard orientation to the da Vinci robotic console in a group of novice surgeons.
评估面向新手外科医生的机器人模拟课程能否提高在活体猪模型中进行缝合任务的表现。
随机对照试验(加拿大工作组分类I级)。
学术医疗中心。
35名无机器人手术经验的医学生。
参与者参加在线培训模块课程,随后进行现场指导。同时还在Mimic Technologies达芬奇手术模拟器(dVSS)上进行基线性能测试。然后,参与者被随机分配完成4项dVSS培训任务(抓持摄像头1、缝合海绵1和2以及缝合管道),而另一组则不再接受进一步培训。干预组重复进行每项dVSS任务,直至熟练掌握或最多进行10次。在活体猪模型上进行最终的缝合任务,并进行视频录制,由经验丰富的外科医生进行盲法评估。主要结局指标为机器人技能整体评估(GEARS)得分和任务时间。假设标准差(SD)为2.65,该研究有90%的把握度检测出GEARS量表上3分的平均差异;假设SD为3分钟,有80%的把握度检测出3分钟的平均差异。
两组在人口统计学和基线技能方面无差异。干预组和对照组在最终缝合任务中的任务时间(分钟)或GEARS得分均无显著差异(分别为9.2[2.65]分钟对9.9[2.07]分钟,p = 0.406;以及15.37[2.51]对15.25[3.38],p = 0.603)。平均任务时间差异的95%置信区间为-2.36至0.96分钟,平均GEARS得分差异的95%置信区间为-1.91至2.15分。
与一组新手外科医生接受的达芬奇机器人控制台标准培训相比,基于熟练程度的虚拟现实模拟缝合课程并未提高活体缝合任务的表现。