Evidence map›Paper›PMID 38156882›Full record

ArticleOperative neurosurgery (Hagerstown, Md.)2023

Mixed Reality for Cranial Neurosurgical Planning: A Single-Center Applicability Study With the First 107 Subsequent Holograms.

Elisa Colombo, Luca Regli, Giuseppe Esposito, Menno R Germans, Jorn Fierstra, Carlo Serra, Martina Sebök, Tristan van Doormaal

Open access · hybridAbstract read
In one paragraph

Article in Operative neurosurgery (Hagerstown, Md.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
6.0field-weighted citation impact, top 3% of its field
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

14 citing papers in PubMed, 19 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Elisa ColomboDepartment of Neurosurgery, Clinical Neuroscience Center, Universität Zürich, Universitätsspital Zürich, Zurich, Switzerland.ORCID 0000-0003-0424-1250
Luca RegliDepartment of Neurosurgery, Clinical Neuroscience Center, Universitätsspital Zürich, Zurich, Switzerland.
Giuseppe EspositoDepartment of Neurosurgery, Clinical Neuroscience Center, Universitätsspital Zürich, Zurich, Switzerland.
Menno R GermansDepartment of Neurosurgery, Clinical Neuroscience Center, Universitätsspital Zürich, Zurich, Switzerland.
Jorn FierstraDepartment of Neurosurgery, Clinical Neuroscience Center, Universitätsspital Zürich, Zurich, Switzerland.
Carlo SerraDepartment of Neurosurgery, Clinical Neuroscience Center, Universitätsspital Zürich, Zurich, Switzerland.
Martina SebökDepartment of Neurosurgery, Clinical Neuroscience Center, Universitätsspital Zürich, Zurich, Switzerland.
Tristan van DoormaalDepartment of Neurosurgery, Clinical Neuroscience Center, Universitätsspital Zürich, Zurich, Switzerland.
University Hospital of Zurich · CHUniversity of Zurich · CH

Funding

Neuroscience Center Zurich, University of Zurich
6 · The paper itself

Abstract

BACKGROUND AND

objectivesMixed reality (MxR) benefits neurosurgery by improving anatomic visualization, surgical planning and training. We aim to validate the usability of a dedicated certified system for this purpose.

methodsAll cases prepared with MxR in our center in 2022 were prospectively collected. Holographic rendering was achieved using an incorporated fully automatic algorithm in the MxR application, combined with contrast-based semiautomatic rendering and/or manual segmentation where necessary. Hologram segmentation times were documented. Visualization during surgical preparation (defined as the interval between finalized anesthesiological induction and sterile draping) was performed using MxR glasses and direct streaming to a side screen. Surgical preparation times were compared with a matched historical cohort of 2021. Modifications of the surgical approach after 3-dimensional (3D) visualization were noted. Usability was assessed by evaluating 7 neurosurgeons with more than 3 months of experience with the system using a Usefulness, Satisfaction and Ease of use (USE) questionnaire.

resultsOne hundred-seven neurosurgical cases prepared with a 3D hologram were collected. Surgical indications were oncologic (63/107, 59%), cerebrovascular (27/107, 25%), and carotid endarterectomy (17/107, 16%). Mean hologram segmentation time was 39.4 ± 20.4 minutes. Average surgical preparation time was 48.0 ± 17.3 minutes for MxR cases vs 52 ± 17 minutes in the matched 2021 cohort without MxR (mean difference 4, 95% CI 1.7527-9.7527). Based on the 3D hologram, the surgical approach was modified in 3 cases. Good usability was found by 57% of the users.

conclusionThe perioperative use of 3D holograms improved direct anatomic visualization while not significantly increasing intraoperative surgical preparation time. Usability of the system was adequate. Further technological development is necessary to improve the automatic algorithms and reduce the preparation time by circumventing manual and semiautomatic segmentation. Future studies should focus on quantifying the potential benefits in teaching, training, and the impact on surgical and functional outcomes.

Identifiers

PMID38156882
PMCPMC11008664
OpenAlexW4390412516

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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.