Evidence map›Paper›PMID 41441876›Full record

Trial reportActa neurochirurgica2025

Comparing augmented reality-assisted and freehand external ventricular drain placement: a multicenter randomized controlled crossover phantom study.

Jesse A M van Doormaal, Elisa Colombo, Jasper M van der Zee, Wouter D Maathuis, Maarten Bot, Patrick O'Donnell, Bachtiar Burhani, Luca Regli, Pierre A J T Robe, Eelco W Hoving and 1 more

Abstract readRandomized Controlled TrialMulticenter StudyComparative Study
In one paragraph

Trial report in Acta neurochirurgica, 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

11 authors.

Jesse A M van DoormaalDepartment of Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands. jessevandoormaal@gmail.com.ORCID http://orcid.org/0000-0002-9531-2765
Elisa ColomboDepartment of Neurosurgery, University Hospital Zürich, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-0424-1250
Jasper M van der ZeeDepartment of Surgical Oncology, Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0001-9144-8852
Wouter D MaathuisDepartment of Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0003-1972-8635
Maarten BotDepartment of Neurosurgery, Academic Medical Center Amsterdam, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0001-9719-6086
Patrick O'DonnellDepartment of Neurosurgery, Academic Medical Center Amsterdam, Amsterdam, The Netherlands.
Bachtiar BurhaniDepartment of Neurosurgery, St. Elisabeth Hospital, Tilburg, The Netherlands.
Luca RegliDepartment of Neurosurgery, University Hospital Zürich, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-4639-4474
Pierre A J T RobeDepartment of Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0001-7845-6196
Eelco W HovingDepartment of Neuro-Oncology, Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-5587-0439
Tristan P C van DoormaalDepartment of Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-6299-3859

Funding

HORIZON EUROPE Framework Programme 190106553
6 · The paper itself

Abstract

backgroundExternal ventricular drain (EVD) placement is a common neurosurgical procedure with high rates of misplacement when performed using the freehand technique. With augmented reality (AR), the accuracy of EVD placement could be improved by providing a 3-D overlay, guiding optimal placement using a virtual trajectory superimposed over the patient. In this study, we aimed to assess the efficacy and usability of an AR application for assisting EVD placements which supported trajectory planning, point-based image-to-patient registration and 3-D stereoscopic projection.

methodWe conducted a randomized controlled crossover trial involving 15 neurosurgical residents and one neurosurgeon, who performed 236 EVD procedures (118 AR-assisted and 118 freehand) on biomimetic phantoms. EVD placement accuracy was evaluated using the Kakarla scale, distance-to-target, angular inaccuracy, and depth inaccuracy. The total procedural time was recorded. The user experience was evaluated using the NASA Task Load Index (NASA-TLX) and the Usefulness, Satisfaction, and Ease of Use (USE) questionnaire.

resultsAR-assisted placement achieved significantly higher rates of optimal placement (Kakarla grade 1: 57.6% vs 37.3%; p < .001), lower rates of erroneous placement (Kakarla grade 3: 21.2% vs 40.7%; p < .001), a lower distance-to-target (median, 7.2 mm vs 11.4 mm; p < .001) and lower angular inaccuracy (median, 5.58° vs 7.60°; p < .001). Procedural time was longer for AR (median, 7 min 30 s vs 1 min 11 s; p < .001). Participants rated the AR system favorably on the USE for ease of learning (mean, 6.09/7 [SD, 0.94]) and satisfaction (mean, 6.45/7 [SD, 0.69]), while NASA-TLX scores indicated similar workloads between AR and freehand techniques.

conclusionsAR improves the accuracy of EVD placement compared to the freehand technique, which is expected to improve the efficacy in clinical settings. It increases total procedural time but remains within clinically acceptable limits and provides favorable usability.

Indexed as

Augmented RealityDrainageNeurosurgical ProceduresVentriculostomyAdultCross-Over StudiesFemaleHumansMalePhantoms, ImagingAugmented realityExternal ventricular drainImage-guided neurosurgery

Identifiers

PMID41441876
PMCPMC12743098

What OpenQuestion holds

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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.