Evidence map›Paper›PMID 39060888›Full record

ArticleInternational journal of computer assisted radiology and surgery2025

Augmented reality for endoscopic transsphenoidal surgery: evaluating design factors with neurosurgeons.

Jennifer Higa, Sonia Nkatha, Roxana Ramirez Herrera, Hani Marcus, Soojeong Yoo, Ann Blandford, Jeremy Opie

Abstract read
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

7 authors.

Jennifer Higa *UCLIC, University College London, London, WC1E 6BT, UK.
Sonia Nkatha *UCLIC, University College London, London, WC1E 6BT, UK.
Roxana Ramirez HerreraUCLIC, University College London, London, WC1E 6BT, UK. roxana.herrera.15@ucl.ac.uk.
Hani MarcusWEISS, University College London, London, W1W 7TY, UK.
Soojeong YooUCLIC, University College London, London, WC1E 6BT, UK.
Ann BlandfordUCLIC, University College London, London, WC1E 6BT, UK.
Jeremy OpieUCLIC, University College London, London, WC1E 6BT, UK.

Funding

Engineering and Physical Sciences Research Council EP/W00805X/1Wellcome / EPSRC Centre for Interventional and Surgical Sciences 203145Z/16/ZWellcome Trust
6 · The paper itself

Abstract

purposeThis study investigates the potential utility of augmented reality (AR) in the endoscopic transsphenoidal approach (TSA). While previous research has addressed technical challenges in AR for TSA, this paper explores how design factors can improve AR for neurosurgeons from a human-centred design perspective.

methodsPreliminary qualitative research involved observations of TSA procedures (

resultsAR visualisations may be beneficial in streamlining the sellar phase and reducing intraoperative errors such as excessive or inadequate exposure. Key design recommendations include a lean mesh rendering, an intuitive colour palette, and optional structure highlighting.

conclusionThis research presents user-centred design guidelines to improve sensemaking and surgical workflow in the sellar phase of TSA, with the goal of improving clinical outcomes. The specific improvements that AR could bring to the workflow are discussed along with surgeons' reservations and its possible application towards training less experienced physicians.

Indexed as

Augmented RealityEndoscopyNeurosurgeonsSphenoid BoneSurgery, Computer-AssistedHumansQualitative ResearchUser-Centered DesignAugmented realityEndoscopic transsphenoidal approachHuman–computer interactionMinimally invasive surgeryNeurosurgery

Identifiers

PMID39060888
PMCPMC11759473

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.