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Related Experiment Video

Updated: Jul 20, 2025

Neuronavigation and Laparoscopy Guided Ventriculoperitoneal Shunt Insertion for the Treatment of Hydrocephalus
14:59

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Ventriculoperitoneal Shunt Tap Task Trainer: A Technical Report.

Jillian Connors1, Andrew Kobets2, Orna Rosen1

  • 1Division of Neonatology, The Children's Hospital at Montefiore, Bronx, USA.

Cureus
|August 4, 2023
PubMed
Summary
This summary is machine-generated.

A new, reusable infant model for ventriculoperitoneal shunt (VPS) procedures was developed. This authentic model offers pediatric and neurosurgical practitioners hands-on experience with VPS taps, enhancing procedural skills.

Keywords:
cerebrospinal fluid (csf)constructing low-cost relatively high-fidelity task trainerspediatric hydrocephalusventriculoperitoneal shunt complications/malfunctionventriculoperitoneal shunts

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Area of Science:

  • Medical Simulation
  • Pediatric Neurosurgery

Background:

  • Ventriculoperitoneal shunts (VPS) are crucial for treating hydrocephalus in infants.
  • Performing accurate VPS taps requires specialized training and practice.

Purpose of the Study:

  • To develop an authentic, easily assembled, and reusable infant model for ventriculoperitoneal shunt (VPS) procedures.
  • To provide a training tool for pediatric and neurosurgical practitioners to gain experience in performing VPS taps.

Main Methods:

  • Creation of a realistic infant model simulating ventriculoperitoneal shunt anatomy.
  • Model designed for ease of assembly and repeated use in training scenarios.

Main Results:

  • The developed model accurately represents an infant with a ventriculoperitoneal shunt.
  • The model facilitates repeatable practice of ventriculoperitoneal shunt taps.
  • Included learning objectives guide effective task training.

Conclusions:

  • The infant VPS model is an effective, authentic, and reusable training tool.
  • This model enhances the practical skills of pediatric and neurosurgical practitioners in performing VPS taps.
  • The model supports structured learning for improved patient care.