Evidence map›Paper›PMID 41625092›Full record

ArticleSurgical neurology international2025

Application of virtual reality for developing a ventriculostomy simulator: Concept and initial results.

Anton Konovalov, Dmitri Okishev, Yuri Pilipenko, Fyodor Grebenev, Anton Artemyev, Gyuzel Mamedbekova, Timur Abzalov, Ivan Erokhin, Sofia Sergeeva, Shalva Eliava

Abstract read
In one paragraph

Article in Surgical neurology international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Anton KonovalovNeurovascular Department, N. N. Burdenko National Medical Research Center of Neurosurgery, Moscow, Russian Federation.
Dmitri OkishevNeurovascular Department, N. N. Burdenko National Medical Research Center of Neurosurgery, Moscow, Russian Federation.
Yuri PilipenkoNeurovascular Department, N. N. Burdenko National Medical Research Center of Neurosurgery, Moscow, Russian Federation.
Fyodor GrebenevNeurovascular Department, N. N. Burdenko National Medical Research Center of Neurosurgery, Moscow, Russian Federation.
Anton ArtemyevNeurovascular Department, N. N. Burdenko National Medical Research Center of Neurosurgery, Moscow, Russian Federation.
Gyuzel MamedbekovaNeurovascular Department, N. N. Burdenko National Medical Research Center of Neurosurgery, Moscow, Russian Federation.
Timur AbzalovFederal State Autonomous Educational Institution of Higher Education "I.M. Sechenov First Moscow State Medical University" of the Ministry of Health of the Russian Federation (Sechenov University), Moscow, Russian Federation.
Ivan ErokhinFederal State Autonomous Educational Institution of Higher Education "I.M. Sechenov First Moscow State Medical University" of the Ministry of Health of the Russian Federation (Sechenov University), Moscow, Russian Federation.
Sofia SergeevaFederal State Autonomous Educational Institution of Higher Education "I.M. Sechenov First Moscow State Medical University" of the Ministry of Health of the Russian Federation (Sechenov University), Moscow, Russian Federation.
Shalva EliavaFederal State Autonomous Educational Institution of Higher Education "I.M. Sechenov First Moscow State Medical University" of the Ministry of Health of the Russian Federation (Sechenov University), Moscow, Russian Federation.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Virtual reality (VR) is actively used in medicine for surgeon training, allowing the practice of complex procedures without risk to patients. In neurosurgery, VR is particularly relevant for procedures such as external ventricular drainage (EVD) placement, which require high precision. The aim of this study was to develop a VR simulator for EVD placement and evaluate its effectiveness in training surgeons with different levels of experience. Methods: The simulator was developed using Meta Quest 3 VR headsets with motion tracking and controllers as well as Inobitec and Shapelab software for segmentation and 3D visualization based on computed tomography/magnetic resonance imaging data. The model included anatomical structures (skull, brain, and ventricles) and surgical tools (catheter, scalpel, and drill). This is a prospective cross-sectional simulation pilot with three expertise strata (experts, residents, and students). The study involved 15 surgeons (5 experienced, 5 residents, and 5 students) performing virtual EVD placement. The primary endpoint was the accuracy of catheter placement, assessed on a 6-point scale (I-VI) by a single independent expert who was blinded to the participant's group. The secondary endpoints were the procedure time, the number of predefined error types (incorrect entry point, incorrect trajectory, etc.), error rates (the proportion of attempts in which at least one error was made), and the survey results. Results: Experienced surgeons completed the procedure faster (113.4 ± 116.4 s) and with fewer errors (6%) compared to residents (176.3 ± 118.0 s) and students (140.8 ± 178.6 s), who had a 28% error rate. The most common errors were incorrect catheter placement (36% of cases) and wrong entry point selection (24%). A postexperiment survey revealed that 14 out of 93% of participants reported a positive training effect and would recommend the simulator for routine practice. Conclusion: The study confirms that VR-based simulation of EVD placement is a feasible technique and shows evidence of construct validity. The technology allows surgeons to practice precision in a risk-free environment, reducing errors in real-world procedures. However, further research is needed to expand its clinical applications.

Indexed as

External ventricular drainMeta Quest 3NeurosurgeryVirtual realityVirtual reality navigation

Identifiers

PMID41625092
PMCPMC12860311

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.