Successful incorporation of robotic surgery into gynecologic oncology fellowship training

成功将机器人手术纳入妇科肿瘤专科医师培训计划

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Abstract

BACKGROUND: The increasing role of robotic surgery in gynecologic oncology may impact fellowship training. The purpose of this study was to review the proportion of robotic procedures performed by fellows at the console, and compare operative times and lymph node yields to faculty surgeons. METHODS: A prospective database of women undergoing robotic gynecologic surgery has been maintained since 2008. Intra-operative datasheets completed include surgical times and primary surgeon at the console. Operative times were compared between faculty and fellows for simple hysterectomy (SH), bilateral salpingo-oophorectomy (BSO), pelvic (PLND) and paraaortic lymph node dissection (PALND) and vaginal cuff closure (VCC). Lymph nodes counts were also compared. RESULTS: Times were recorded for 239 SH, 43 BSOs, 105 right PLNDs, 104 left PLNDs, 34 PALND and 269 VCC. Comparing 2008 to 2011, procedures performed by the fellow significantly increased; SH 16% to 83% (p<0.001), BSO 7% to 75% (p=0.005), right PLND 4% to 44% (p<0.001), left PLND 0% to 56% (p<0.001), and VCC 59% to 82% (p=0.024). Console times (min) were similar for SH (60 vs. 63, p=0.73), BSO (48 vs. 43, p=0.55), and VCC (20 vs. 22, p=0.26). Faculty times (min) were shorter for PLND (right 26 vs. 30, p=0.04, left 23 vs. 27, p=0.02). Nodal counts were not significantly different (right 7 vs. 8, p=0.17 or left 7 vs. 7, p=0.87). CONCLUSIONS: Robotic surgery can be successfully incorporated into gynecologic oncology fellowship training. With increased exposure to robotic surgery, fellows had similar operative times and lymph node yields as faculty surgeons.

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