以腹腔镜湿实验室培训中的组织牵引为重点的手术技能分析

IF 1.4 Q3 SURGERY
Koki Ebina PhD , Takashige Abe MD, PhD , Madoka Higuchi MD, PhD , Kiyohiko Hotta MD, PhD , Jun Furumido MD, PhD , Naoya Iwahara MD, PhD , Taku Senoo PhD , Shunsuke Komizunai PhD , Teppei Tsujita PhD , Kazuya Sase PhD , Xiaoshuai Chen PhD , Yo Kurashima MD, PhD , Hiroshi Kikuchi MD, PhD , Haruka Miyata MD, PhD , Ryuji Matsumoto MD, PhD , Takahiro Osawa MD, PhD , Sachiyo Murai , Atsushi Konno PhD , Nobuo Shinohara MD, PhD
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引用次数: 0

摘要

背景组织处理是外科手术的关键部分之一。我们旨在阐明腹腔镜组织解剖时专家左手的特征。使用定制的传感器镊子测量了镊子的抓取力/抓取点,并通过动作捕捉系统(Mocap)记录了镊子的位置。根据腹腔镜技能全球手术评估(GOALS),两位专家对录制的影片进行评分,并根据平均得分将参与者分为三组:新手组(10分)、中级组(10分至20分)和专家组(20分以下)。使用 Kruskal-Wallis 检验比较了三个组别之间基于力的指标。结果共成功记录了 42 次培训。统计测试表明,新手经常重新抓取组织(总抓取次数中位数,新手:268.0 次,中间组:1.0 次):268.0 次,中级:89.5 次,专家:89.5 次):89.5,专家52.0,p <0.0001),对主动脉的牵引角度趋于稳定(牵引角度加权标准偏差中位数,新手:30.74°,中级:89.5°,专家:52.0°,p <0.0001):30.74°,中级26.80,专家:23.75,p = 0.0285),根据技能能力,抓取点远离主动脉[在近距离区域(距离主动脉 0 至 2.0 厘米)施加的抓取力的百分比中位数,新手:34.96%,中级专家:23.75%,p = 0.0001]:34.96 %,中级新手:34.96 %,中级:21.61 %,专家:10.91 %,P = 0.0010.91 %, p = 0.0032].PCA显示,与效率相关的指标(抓取总次数)和与有效组织牵引相关的指标(Y轴加权平均抓取位置和抓取面积分布)是造成技能差异的主要原因(占第一主成分方差的比例:60.83%)。我们的下一个挑战是在本湿式实验室培训后提供即时和可视的现场反馈,并缩短学员的学习曲线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Surgical skill analysis focused on tissue traction in laparoscopic wet lab training

Background

Tissue handling is one of the pivotal parts of surgical procedures. We aimed to elucidate the characteristics of experts' left-hand during laparoscopic tissue dissection.

Methods

Participants performed tissue dissection around the porcine aorta. The grasping force/point of the grasping forceps were measured using custom-made sensor forceps, and the forceps location was also recorded by motion capture system (Mocap). According to the global operative assessment of laparoscopic skills (GOALS), two experts scored the recorded movies, and based on the mean scores, participants were divided into three groups: novice (<10), intermediate (10≤ to <20), and expert (≤20). Force-based metrics were compared among the three groups using the Kruskal-Wallis test. Principal component analysis (PCA) using significant metrics was also performed.

Results

A total of 42 trainings were successfully recorded. The statistical test revealed that novices frequently regrasped a tissue (median total number of grasps, novices: 268.0 times, intermediates: 89.5, experts: 52.0, p < 0.0001), the traction angle became stable against the aorta (median weighted standard deviation of traction angle, novices: 30.74°, intermediates: 26.80, experts: 23.75, p = 0.0285), and the grasping point moved away from the aorta according to skill competency [median percentage of grasping force applied in close zone (0 to 2.0 cm from aorta), novices: 34.96 %, intermediates: 21.61 %, experts: 10.91 %, p = 0.0032]. PCA showed that the efficiency-related (total number of grasps) and effective tissue traction-related (weighted average grasping position in Y-axis and distribution of grasping area) metrics mainly contributed to the skill difference (proportion of variance of first principal component: 60.83 %).

Conclusion

The present results revealed experts' left-hand characteristics, including correct tissue grasping, sufficient tissue traction from the aorta, and stable traction angle. Our next challenge is the provision of immediate and visual feedback onsite after the present wet-lab training, and shortening the learning curve of trainees.

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