Training on a 3D-Printed Simulation Model Improves Accuracy in External Ventricular Drain Placement

A standardized training protocol using a 3D-printed model significantly improves the accuracy and confidence of neurosurgeons in EVD placement. Regular training is recommended to maintain high clinical performance, emphasizing the need for standardized procedures and the use of neuronavigation for complex cases.

Authors

Institutions

Publication Details

Journal
Operative Neurosurgery
Published
2025-02-18
DOI
https://doi.org/10.1227/ons.0000000000001491
Primary Topic
Cerebrospinal fluid and hydrocephalus
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Training on a 3D-Printed Simulation Model Improves Accuracy in External Ventricular Drain Placement

Merih Ö. Turgut, Matthias Gielisch, Michael Kosterhon, Florian Ringel et al.
Operative Neurosurgery
Cerebrospinal fluid and hydrocephalus
article

Training on a 3D-Printed Simulation Model Improves Accuracy in External Ventricular Drain Placement

Merih Ö. Turgut, Matthias Gielisch, Michael Kosterhon, Florian Ringel, Julian Graef
article en

Abstract

A standardized training protocol using a 3D-printed model significantly improves the accuracy and confidence of neurosurgeons in EVD placement. Regular training is recommended to maintain high clinical performance, emphasizing the need for standardized procedures and the use of neuronavigation for complex cases.

Operative NeurosurgeryVol. 29(3)
Johannes Gutenberg University Mainz (DE), University Medical Center of the Johannes Gutenberg University Mainz (DE)
Openalex Percentile: Top 96%
Cerebrospinal fluid and hydrocephalus
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.