Walter Reed National Military Medical Center, Bethesda, MD, USA.
Eastern Virginia Medical School, Norfolk, VA, USA.
Colorectal Dis. 2021 Jan;23(1):226-236. doi: 10.1111/codi.15398. Epub 2020 Nov 4.
This study aimed to present our experience with robotic colorectal surgery since its establishment at our institution in 2009. By examining the outcomes of over 500 patients, our experience provides a basis for assessing the introduction of a robotic platform in a colorectal practice. Specific measures investigated include intraoperative data and postoperative outcomes for all operations using the robotic platform. In addition, for our most commonly performed operations we wished to analyse the learning curve to improve operative proficiency. This is the largest single-surgeon robotic database analysed to date.
A prospectively maintained database of patients who underwent robotic colorectal surgery by a single surgeon at the George Washington University Hospital was retrospectively reviewed. Demographic data and perioperative outcomes were assessed. Additionally, an operating time learning curve analysis was performed.
Inclusion criteria identified 502 patients who underwent robotic colorectal surgery between October 2009 and December 2018. The most common indications for surgery were diverticulitis (22.9%), colon adenocarcinoma (22.1%) and rectal adenocarcinoma (19.5%). The most common operations were anterior/low anterior resection (33.9%), right hemicolectomy/ileocaecectomy (24.9%) and left hemicolectomy/sigmoidectomy (21.9%). The rate of conversion to open surgery was 4.8%. The most common postoperative complications were wound infection (5.0%), anastomotic leakage (4.0%) and abscess formation (2.8%). The operating time learning curve plateaued at 55-65 cases for anterior and low anterior resection and 35-45 cases for left hemicolectomy and sigmoidectomy. A clear learning curve was not seen in right hemicolectomy.
Robotic-assisted surgery can be performed in a diverse colorectal practice with low rates of conversion and postoperative complications. Plateau performance was achieved after 65 anterior/low anterior resections and 45 left and sigmoid colectomies.
本研究旨在介绍自 2009 年在我院开展机器人结直肠手术以来的经验。通过对 500 多例患者的结果进行检查,我们的经验为评估机器人平台在结直肠实践中的引入提供了基础。具体检查包括所有使用机器人平台进行的手术的术中数据和术后结果。此外,对于我们最常进行的手术,我们希望分析学习曲线以提高手术熟练度。这是迄今为止分析的最大的单一外科医生机器人数据库。
回顾性分析了一位外科医生在乔治华盛顿大学医院进行的机器人结直肠手术的前瞻性维护数据库。评估了人口统计学数据和围手术期结果。此外,还进行了手术时间学习曲线分析。
纳入标准确定了 2009 年 10 月至 2018 年 12 月期间接受机器人结直肠手术的 502 例患者。手术最常见的指征是憩室炎(22.9%)、结肠腺癌(22.1%)和直肠腺癌(19.5%)。最常见的手术是前/低位前切除术(33.9%)、右半结肠切除术/回盲切除术(24.9%)和左半结肠切除术/乙状结肠切除术(21.9%)。转为开放性手术的比例为 4.8%。最常见的术后并发症是伤口感染(5.0%)、吻合口漏(4.0%)和脓肿形成(2.8%)。手术时间学习曲线在前/低位前切除术达到 55-65 例和左半结肠切除术和乙状结肠切除术达到 35-45 例时趋于平稳。右半结肠切除术没有明显的学习曲线。
机器人辅助手术可在多种结直肠手术中进行,转化率和术后并发症发生率低。在完成 65 例前/低位前切除术和 45 例左半结肠和乙状结肠切除术之后,达到了稳定的表现。