Back to Search Start Over

Novel Simulation Model with Pulsatile Flow System for Microvascular Training, Research, and Improving Patient Surgical Outcomes

Authors :
Gallardo F
Bustamante J
Martin C
Orellana C
Caviglia M
Oriola G
Diaz A
Rubino P
Quesada V
Source :
World Neurosurgery, r-INCLIVA. Repositorio Institucional de Producción Científica de INCLIVA, instname
Publication Year :
2020
Publisher :
ELSEVIER SCIENCE INC, 2020.

Abstract

BACKGROUND: Simulation allows surgical trainees to acquire surgical skills in a safe environment. With the aim of reducing the use of animal experimentation, different alternative nonliving models have been pursued. However, one of the main disadvantages of these nonliving models has been the absence of arterial flow, pulsation, and the ability to integrate both during a procedure on a blood vessel. In the present report, we have introduced a microvascular surgery simulation training model that uses a fiscally responsible and replicable pulsatile flow system. METHODS: We connected 30 human placentas to a pulsatile flow system and used them to simulate aneurysm clipping and vascular anastomosis. RESULTS: The presence of the pulsatile flow system allowed for the simulation of a hydrodynamic mechanism similar to that found in real life. In the aneurysm simulation, the arterial flow could be evaluated before and after clipping the aneurysm using a Doppler ultrasound system. When practicing anastomosis, the use of the pulsatile flow system allowed us to assess the vascular flow through the anastomosis, with verification using the Doppler u ltrasound system. Leaks were manifested as "blood" pulsatile ejections and were more frequent at the begin-n ing of the surgical practice, showing a learning curve. CONCLUSIONS: We have provided a step-by-step guide for the assembly of a replicable and inexpensive pulsatile flow system and its use in placentas for the simulation of, and training in, performing different types of anastomoses and intracranial aneurysms surgery.

Details

ISSN :
18788750
Database :
OpenAIRE
Journal :
World Neurosurgery, r-INCLIVA. Repositorio Institucional de Producción Científica de INCLIVA, instname
Accession number :
edsair.RECOLECTA.....ee765688aba85a7d375b6ccb43f547d1