Evidence map›Paper›PMID 36836755›Full record

ArticleLife (Basel, Switzerland)2023

Use of Mixed Reality in Neuro-Oncology: A Single Centre Experience.

Swati Jain, Yujia Gao, Tseng Tsai Yeo, Kee Yuan Ngiam

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Comprehensive mixed reality surgical navigation system for liver surgery.Journal of medical imaging (Bellingham, Wash.) · 2025
    Article
  5. Article
  6. Article
  7. Article
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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

4 authors.

Swati JainDivision of Neurosurgery, University Surgical Cluster, National University Health System (NUHS), 1E, Kent Ridge Road, Singapore 119228, Singapore.
Yujia GaoDivision of Hepatobiliary & Pancreatic Surgery, University Surgical Cluster, National University Health System (NUHS), 1E, Kent Ridge Road, Singapore 119228, Singapore.
Tseng Tsai YeoDivision of Neurosurgery, University Surgical Cluster, National University Health System (NUHS), 1E, Kent Ridge Road, Singapore 119228, Singapore.
Kee Yuan NgiamDivision of Endocrine & Thyroid Surgery, University Surgical Cluster, National University Health System (NUHS), 1E, Kent Ridge Road, Singapore 119228, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Intra-operative neuronavigation is currently an essential component to most neurosurgical operations. Recent progress in mixed reality (MR) technology has attempted to overcome the disadvantages of the neuronavigation systems. We present our experience using the HoloLens 2 in neuro-oncology for both intra- and extra-axial tumours. (2) Results: We describe our experience with three patients who underwent tumour resection. We evaluated surgeon experience, accuracy of superimposed 3D image in tumour localisation with standard neuronavigation both pre- and intra-operatively. Surgeon training and usage for HoloLens 2 was short and easy. The process of image overlay was relatively straightforward for the three cases. Registration in prone position with a conventional neuronavigation system is often difficult, which was easily overcome during use of HoloLens 2. (3) Conclusion: Although certain limitations were identified, the authors feel that this system is a feasible alternative device for intra-operative visualization of neurosurgical pathology. Further studies are being planned to assess its accuracy and suitability across various surgical disciplines.

Indexed as

HoloLens 2mixed realityneuronavigation

Identifiers

PMID36836755
PMCPMC9965132

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.