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机器人辅助腹腔镜子宫切除术不同阶段的学习曲线分析

Learning Curve Analysis of Different Stages of Robotic-Assisted Laparoscopic Hysterectomy.

作者信息

Tang Feng-Hsiang, Tsai Eing-Mei

机构信息

Graduate Institute of Clinical Medicine, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; Department of Obstetrics and Gynecology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.

Department of Obstetrics and Gynecology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Graduate Institute of Medicine, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.

出版信息

Biomed Res Int. 2017;2017:1827913. doi: 10.1155/2017/1827913. Epub 2017 Mar 8.

DOI:10.1155/2017/1827913
PMID:28373977
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5360940/
Abstract

. To analyze the learning curves of the different stages of robotic-assisted laparoscopic hysterectomy. . Retrospective analysis. . Canadian Task Force classification II-2. . Kaohsiung Medical University Hospital, Kaohsiung, Taiwan. . Women receiving robotic-assisted total and subtotal laparoscopic hysterectomies for benign conditions from May 1, 2013, to August 31, 2015. . The mean age, body mass index (BMI), and uterine weight were 46.44 ± 5.31 years, 23.97 ± 4.75 kg/m, and 435.48 ± 250.62 g, respectively. The most rapid learning curve was obtained for the main surgery console stage; eight experiences were required to achieve duration stability, and the time spent in this stage did not violate the control rules. The docking stage required 14 experiences to achieve duration stability, and the suture stage was the most difficult to master, requiring 26 experiences. BMI did not considerably affect the duration of the three stages. The uterine weight and the presence of adhesion did not substantially affect the main surgery console time. . Different stages of robotic-assisted laparoscopic hysterectomy have different learning curves. The main surgery console stage has the most rapid learning curve, whereas the suture stage has the slowest learning curve.

摘要

分析机器人辅助腹腔镜子宫切除术不同阶段的学习曲线。回顾性分析。加拿大工作组分类II-2。台湾高雄长庚大学医院。2013年5月1日至2015年8月31日期间因良性疾病接受机器人辅助全子宫及次全子宫腹腔镜切除术的女性。平均年龄、体重指数(BMI)和子宫重量分别为46.44±5.31岁、23.97±4.75kg/m²和435.48±250.62g。主手术控制台阶段获得了最快的学习曲线;需要8次经验才能实现持续时间稳定,且该阶段所花费的时间未违反控制规则。对接阶段需要14次经验才能实现持续时间稳定,缝合阶段最难掌握,需要26次经验。BMI对三个阶段的持续时间影响不大。子宫重量和粘连情况对主手术控制台时间影响不大。机器人辅助腹腔镜子宫切除术的不同阶段有不同的学习曲线。主手术控制台阶段学习曲线最快,而缝合阶段学习曲线最慢。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbcf/5360940/6206829bfd1e/BMRI2017-1827913.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbcf/5360940/768fa505146a/BMRI2017-1827913.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbcf/5360940/f57e1a6cc7a2/BMRI2017-1827913.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbcf/5360940/bdf9a9c0c32e/BMRI2017-1827913.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbcf/5360940/6206829bfd1e/BMRI2017-1827913.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbcf/5360940/768fa505146a/BMRI2017-1827913.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbcf/5360940/f57e1a6cc7a2/BMRI2017-1827913.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbcf/5360940/bdf9a9c0c32e/BMRI2017-1827913.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbcf/5360940/6206829bfd1e/BMRI2017-1827913.004.jpg

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