Evidence map›Paper›PMID 38742013›Full record

ReviewSurgical neurology international2024

Evolution of the meta-neurosurgeon: A systematic review of the current technical capabilities, limitations, and applications of augmented reality in neurosurgery.

Nikhil Sharma, Arka N Mallela, Talha Khan, Stephen Paul Canton, Nicolas Matheo Kass, Fritz Steuer, Jacquelyn Jardini, Jacob Biehl, Edward G Andrews

Abstract readReview
In one paragraph

Review in Surgical neurology international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
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  5. Review
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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

9 authors.

Nikhil SharmaSchool of Medicine, University of Pittsburgh, Pittsburgh, United States.
Arka N MallelaDepartment of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, United States.
Talha KhanDepartment of Computing and Information, University of Pittsburgh, Pittsburgh, United States.
Stephen Paul CantonDepartment of Orthopaedic Surgery, University of Pittsburgh Medical Center, Pittsburgh, United States.
Nicolas Matheo KassSchool of Medicine, University of Pittsburgh, Pittsburgh, United States.
Fritz SteuerSchool of Medicine, University of Pittsburgh, Pittsburgh, United States.
Jacquelyn JardiniDepartment of Biology, Haverford College, Haverford, Pennsylvania, United States.
Jacob BiehlDepartment of Computing and Information, University of Pittsburgh, Pittsburgh, United States.
Edward G AndrewsDepartment of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Augmented reality (AR) applications in neurosurgery have expanded over the past decade with the introduction of headset-based platforms. Many studies have focused on either preoperative planning to tailor the approach to the patient's anatomy and pathology or intraoperative surgical navigation, primarily realized as AR navigation through microscope oculars. Additional efforts have been made to validate AR in trainee and patient education and to investigate novel surgical approaches. Our objective was to provide a systematic overview of AR in neurosurgery, provide current limitations of this technology, as well as highlight several applications of AR in neurosurgery. Methods: We performed a literature search in PubMed/Medline to identify papers that addressed the use of AR in neurosurgery. The authors screened three hundred and seventy-five papers, and 57 papers were selected, analyzed, and included in this systematic review. Results: AR has made significant inroads in neurosurgery, particularly in neuronavigation. In spinal neurosurgery, this primarily has been used for pedicle screw placement. AR-based neuronavigation also has significant applications in cranial neurosurgery, including neurovascular, neurosurgical oncology, and skull base neurosurgery. Other potential applications include operating room streamlining, trainee and patient education, and telecommunications. Conclusion: AR has already made a significant impact in neurosurgery in the above domains and has the potential to be a paradigm-altering technology. Future development in AR should focus on both validating these applications and extending the role of AR.

Indexed as

Augmented realityEducationNeurosurgerySimultaneous localization and mapping (SLAM)

Identifiers

PMID38742013
PMCPMC11090549

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.