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“面条与线”:一种使用普通家居用品对血管结扎进行的低保真模拟。

A "Noodle and Thread": A Low-Fidelity Simulation of Blood Vessel Ligation Using Common Household Items.

作者信息

Markel Justin, Franke Jacob D, Woodberry Kerri, Fahrenkopf Matthew

机构信息

Cedars-Sinai Medical Center Department of Internal Medicine, West Hollywood, USA.

Corewell Health-Michigan State University College of Human Medicine Plastic Surgery Residency, Grand Rapids, MI USA.

出版信息

Med Sci Educ. 2025 Feb 20;35(2):597-602. doi: 10.1007/s40670-025-02315-w. eCollection 2025 Apr.

Abstract

PURPOSE

Simulation is becoming increasingly essential to surgical education, and many skills are learned in simulation-based training laboratories before being used in the operating room (OR). The COVID-19 pandemic exposed the need for alternative methods of learning important surgical techniques, particularly in resource-limited areas. One of the most important early skills for trainees is surgical knot tying without exerting excessive upward traction, such as that used to ligate blood vessels prior to division and cautery.

METHODS

To help solve this problem, we have developed a model of blood vessel ligation and surgical knot tying using common, inexpensive household items including noodles, adhesive tape, and thread.

RESULTS

The proposed model adequately simulated blood vessel ligation and displayed a wide spectrum of difficulty levels based on the materials chosen.

CONCLUSIONS

Surgical knot tying can be practiced in private settings with the proposed model of blood vessel ligation. The model is low cost, and its difficulty can be adjusted by changing noodle morphology.

摘要

目的

模拟对于外科手术教育变得越来越重要,许多技能在基于模拟的训练实验室中学习后才会在手术室(OR)中使用。2019年冠状病毒病(COVID-19)大流行凸显了在资源有限地区学习重要外科技术的替代方法的必要性。对于学员来说,最重要的早期技能之一是在不施加过度向上牵引力的情况下进行手术打结,例如在血管离断和烧灼之前用于结扎血管时。

方法

为了帮助解决这个问题,我们使用包括面条、胶带和线在内的常见、廉价的家庭用品开发了一种血管结扎和手术打结模型。

结果

所提出的模型充分模拟了血管结扎,并根据所选材料显示了广泛的难度级别。

结论

使用所提出的血管结扎模型可以在私人环境中练习手术打结。该模型成本低,其难度可以通过改变面条形态来调整。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9861/12059197/04a0b4e41684/40670_2025_2315_Fig1_HTML.jpg

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