- 作者：Samith S ; adi ; Jill A. Gadzinski ; Stephen Lee ; Dennis S. Chi ; Yukio Sonoda ; Elizabeth L. Jewell ; Carol L. Brown ; Ginger J. Gardner ; Richard R. Barakat ; Mario M. Leitao Jr.
- 关键词：Robotic assisted laparoscopic hysterectomy ; Minimally invasive surgery ; Total laparoscopic hysterectomy
- 刊名：Gynecologic Oncology
- 出版年：January, 2014
- 年：2014
- 卷：132
- 期：1
- 页码：102-106
- 全文大小：354 K
Objective
To describe the learning curve associated with training fellows in completing robotic assisted total laparoscopic hysterectomies.Methods
All patients scheduled to undergo a robotic procedure at our institution from 5/15/07 to 5/22/12 were identified. Fellow participation per procedure was documented. The learning curve of fellows for the time to complete a hysterectomy (from initiation of developing the retroperitoneal space to the completion of the colpotomy) was analyzed.
Results
Of the 1754 planned robotic cases, 1626 were completed robotically and 128 were converted to laparotomy. Fifty-seven fellows participated in 99.7% of the cases. Eleven gynecologic oncology fellows completed at least 1 robotic assisted total laparoscopic hysterectomy. From 7/7/08 to 5/21/12, 981 hysterectomies were completed robotically, 254 of these (25.9%) by the 11 fellows. Prior to completing a hysterectomy, the median number of hysterectomies in which a fellow participated was 16 (range, 11-40). Median amount of time for a fellow to complete a hysterectomy decreased from 60 min in 2009 (N = 27 cases) to 31 min in 2011 (N = 148 cases). Based on the recorded completion times in which the 11 fellows completed a hysterectomy, it required ~ 33 cases per fellow to be able to perform the hysterectomy and overcome the learning curve.
Conclusions
The learning curve associated with hysterectomy requires completion of ~ 33 cases by the fellow after an initial median experience of 16 cases. Our data suggest that a minimum of 50 total cases is required during fellowship to complete a robotic hysterectomy.