New Alternative to Animal Models for Surgical Training

Author:

Aboud Emad1,Suarez Carlos Ernesto1,Al-Mefty Ossama1,Yasargil M. Gazi1

Affiliation:

1. University of Arkansas for Medical Sciences, Department of Neurosurgery, Little Rock, AR, USA

Abstract

Laboratory training models are essential for developing and refining surgical skills, especially in microsurgery. A perfect training model is the one that can provide the same situation during surgery, in the same anatomy; the closer to live surgery the model is, the greater the benefit. The lack of an accurate vascular model has sometimes necessitated the use of live models when bleeding, and vascular liquid filling is desired for optional learning. We developed a new model utilising human cadavers that can replace the use of live anaesthetised animals for surgical training. The vessels in a cadaveric specimen were connected to artificial blood reservoirs. The arterial side was connected to a pump to provide pulsating pressure inside the arteries, while the venous side was kept under static pressure that applied to the reservoir. This method provides a condition that simulates live surgery in terms of bleeding, pulsation and liquid filling of the vascular tree. It is an excellent alternative model and can be applied to the whole cadaver or to a particular cadaveric specimen (head, arm, leg) or to an isolated organ. It is distinctive and of a great practical value for training in a wide range of surgical procedures, Utilising this technique could forever eliminate the use of live anaesthetised animals for surgical training. The model and device are patent pending application no. 10/339,053.

Publisher

SAGE Publications

Subject

Medical Laboratory Technology,Toxicology,General Biochemistry, Genetics and Molecular Biology,General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3