Evidence map›Paper›PMID 40349281›Full record

ArticleInternational journal of computer assisted radiology and surgery2025

Augmented reality system for endoscopic pituitary surgery with automatic registration.

Aure Enkaoua, João Ramalhinho, Mobarakol Islam, Hani J Marcus, Matthew J Clarkson

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Depth-based local registration refinement for augmented reality in pituitary surgery.International journal of computer assisted radiology and surgery · 2026
    Article
  3. Review
  4. Article
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

5 authors.

Aure EnkaouaUCL Hawkes Institute, Department of Medical Physics and Biomedical Engineering, University College London, London, UK. zcemaen@ucl.ac.uk.ORCID http://orcid.org/0009-0009-0912-8274
João RamalhinhoUCL Hawkes Institute, Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
Mobarakol IslamUCL Hawkes Institute, Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
Hani J MarcusUCL Hawkes Institute, Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
Matthew J ClarksonUCL Hawkes Institute, Department of Medical Physics and Biomedical Engineering, University College London, London, UK.

Funding

EPSRC Centre for Doctoral Training in Intelligent, Integrated Imaging in Healthcare (i4Health) 21930/1
6 · The paper itself

Abstract

purposeEndoscopic pituitary surgery is a minimally invasive technique to remove pituitary tumours through the nose. Currently, image guidance may be used in the form of a tracked pointer to help surgeons navigate the region and avoid damage to critical structures. However, the pointer method is mentally demanding as the pointer location is displayed in a different modality and disrupts the surgical workflow due to the setup time and frequent tool removal.

methodsWe propose an Augmented Reality (AR) system where information from the pre-operative scan is displayed directly onto the endoscopic video. Our system features an on-board tracking system, allowing for the registration process to be performed automatically.

resultsWe evaluated the accuracy of our system and compared it to an AR system that uses an infrared (IR) camera to track an endoscope with reflective markers. Our system gave an accuracy of 1.1 (± 0.4) mm, compared to 2.4 (± 0.9) mm in the IR-tracked endoscope approach.

conclusionOur Augmented Reality system is a more compact and transportable setup which outperformed the IR-tracked endoscope. The automatic registration method can save time in the operating room as well as increase AR overlay accuracy, improving the translation of these technologies.

Indexed as

Augmented RealityEndoscopyPituitary NeoplasmsSurgery, Computer-AssistedHumansImaging, Three-DimensionalAugmented realityEndoscopic surgeryMinimally invasive surgeryTranssphenoidal pituitary surgery

Identifiers

PMID40349281
PMCPMC12167348

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LicenceCC BY
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Registered trials

None linked

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.