熟悉机器人耻骨后前列腺切除术的外科医生确定机器人辅助会阴前列腺根治术的学习曲线

Y. İ. Çömez, M. Balcı, Doğukan Sökmen, K. Seker, V. Tuğcu
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引用次数: 0

摘要

目的:为已经进行腹膜内机器人辅助腹腔镜前列腺根治术的外科医生研究机器人辅助腹腔镜会阴前列腺根治术(机器人RPP)的学习曲线。材料和方法:对最初的120例机器人RPP病例进行围手术期数据分析,以确定学习曲线。收集围手术期的所有数据,包括手术时间、估计失血量、术后住院时间、并发症和阳性手术切缘结果。将连续的患者分为四组:病例1-30(第1组)、病例31-60(第2组)、患者61-90(第3组)和病例91-120(第4组)。结果:中位年龄为61.4(46-73)岁,PSA水平为8.4(2-32)。平均手术时间为143.2分钟,手术时间随着时间的推移逐渐缩短(从第1组到第4组;P<0.001)。平均治疗时间为90.6分钟,第3组与第4组有显著差异(p=0.047)。平均住院时间为1.6天,随着时间的推移,60例后显著下降(P<0.001)。第4组平均拔除导尿管时间显著提前(P1vs4=0.012)。两组在病理肿瘤Gleason评分、标本的阳性手术边缘和并发症方面没有统计学显著差异。结论:本研究表明,经验丰富的机器人外科医生至少可以在90例病例后获得机器人RPP的手术资格。关键词:前列腺切除术,机器人辅助,会阴部,学习曲线,前列腺癌症
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Determining the learning curve for robot-assisted radical perineal prostatectomy in surgeons familiar with robotic retropubic prostatectomy
Objective: To investigate the learning curve for robot assisted laparoscopic radical perineal prostatectomy (robotic RPP) for surgeons who already perform transperitoneal robot assisted laparoscopic radical prostatectomy. Material and Methods: A total of initial 120 robotic RPP cases were analyzed for perioperative data from single surgeon performing to determine the learning curve. Perioperative all data are collected including operation time, estimated blood loss, postoperative length of stay, complications and positive surgical margin results. The consecutive patients were classified into four groups: cases 1–30 (Group 1), cases 31–60 (Group 2), cases 61–90 (Group 3) and cases 91-120 (Group 4). Results: Median age of 61.4 (46-73) years and PSA level was 8.4 (2-32). Mean operative time was 143.2 minutes, and the length of surgery progressively decreased over time (from group 1 to group 4; P<001). Mean console time was 90.6 minutes and significant differences was found group 3 vs. 4 (p=0.047). The mean length of stay was 1.6 days, and significantly decrease after 60 cases over time (P<0.001). Mean removal of the urethral catheter significantly earlier in group 4 (P1vs4=0.012). There was no statistically significant difference between the groups with respect to pathologic tumor Gleason score, positive surgical margine of the specimen and complications. Conclusions: This study suggests that surgical qualification for robotic RPP can be obtained at least after 90 cases for an experienced robotic surgeon. Keywords: prostatectomy, robot-assisted, perineal, learning curve, prostate cancer
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