Evidence map›Paper›PMID 40206755›Full record

ArticleSurgical neurology international2025

Augmented reality for external ventricular drain placement: Model alignment and integration software.

Anton Nikolaevich Konovalov, Dmitry Nikolaevich Okishev, Yuri Viktorovich Pilipenko, Shalva Shalvovich Eliava, Anton Alekseevich Artemyev, Timur Yurevich Abzalov, Alexander Viktorovich Knyazev, Vladimir Mikhailovich Ivanov, Anton Yurevich Smirnov, Sergey Vasilyevich Strelkov

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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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 Nikolaevich KonovalovDepartment of Vascular Neurosurgery, Federal State Autonomous Institution "National Medical Research Center of Neurosurgery named after Academician N.N.Burdenko" of the Ministry of Health of the Russian Federation, Moscow, Russian Federation.
Dmitry Nikolaevich OkishevDepartment of Vascular Neurosurgery, Federal State Autonomous Institution "National Medical Research Center of Neurosurgery named after Academician N.N.Burdenko" of the Ministry of Health of the Russian Federation, Moscow, Russian Federation.
Yuri Viktorovich PilipenkoDepartment of Vascular Neurosurgery, Federal State Autonomous Institution "National Medical Research Center of Neurosurgery named after Academician N.N.Burdenko" of the Ministry of Health of the Russian Federation, Moscow, Russian Federation.
Shalva Shalvovich EliavaDepartment of Vascular Neurosurgery, Federal State Autonomous Institution "National Medical Research Center of Neurosurgery named after Academician N.N.Burdenko" of the Ministry of Health of the Russian Federation, Moscow, Russian Federation.
Anton Alekseevich ArtemyevFederal 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.
Timur Yurevich 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.
Alexander Viktorovich KnyazevDepartment of Radiology, LLC Natzstandart-Distribution, Moscow, Russian Federation.
Vladimir Mikhailovich IvanovDepartment of Engineering Graphics and Design, Federal State Autonomous Educational Institution of Higher Education, Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russian Federation.
Anton Yurevich SmirnovDepartment of Engineering Graphics and Design, Federal State Autonomous Educational Institution of Higher Education, Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russian Federation.
Sergey Vasilyevich StrelkovDepartment of Engineering Graphics and Design, LLC Medgital, Saint Petersburg, Leningrad Region, Moscow, Russian Federation.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: External ventricular drainage (EVD) is a critical neurosurgical procedure for managing conditions. Despite its widespread use, EVD placement is associated with specific risks, as improper catheter positioning can lead to severe complications. Recent advancements in augmented reality (AR) technology present new opportunities to improve the precision and safety of surgical interventions. Methods: This study presents a new AR-assisted approach for EVD placement, utilizing the Microsoft HoloLens 2 and the Medgital software. We conducted a clinical trial involving three patients requiring EVD due to acute hydrocephalus or subarachnoid hemorrhage. The study adhered to ethical standards and was approved by an Ethics Committee, with informed consent obtained from all participants. Two alignment methods were employed: cranial landmark-based and QR code-based alignment. Preoperative imaging facilitated the creation of patient-specific 3D models, which were aligned with the patient's anatomy during surgery. Results: The results suggest that AR navigation may improve the accuracy of catheter placement. In the first case, EVD was placed with a deviation of 2.3 mm from the planned trajectory, while the second and third cases achieved deviations of 1.5 mm and 0.5 mm, respectively. These results indicate the potential effectiveness of the AR system. Importantly, no postoperative complications were observed, suggesting the safety of the AR-guided approach. Conclusion: This study suggests the viability of AR-assisted navigation in neurosurgical practice, particularly for EVD placement. The promising results support further exploration and integration of AR technologies in surgical settings, aiming to improve patient outcomes and procedural efficiency in neurosurgery.

Indexed as

Augmented realityAugmented reality navigationExternal ventricular drainMicrosoft HoloLens 2Neurosurgery

Identifiers

PMID40206755
PMCPMC11980733

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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.