Evidence map›Paper›PMID 40715656›Full record

ArticleSurgical endoscopy2025

Assessing augmented reality displays in laparoscopic liver surgery - a clinical experience.

João Ramalhinho, Sandun Bulathsinhala, Kurinchi Gurusamy, Brian R Davidson, Matthew J Clarkson

Abstract read
In one paragraph

Article in Surgical endoscopy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

5 authors.

João RamalhinhoUCL Hawkes Institute, Department of Medical Physics and Biomedical Engineering, UCL, London, UK. joao.ramalhinho.15@ucl.ac.uk.ORCID http://orcid.org/0000-0002-8438-2215
Sandun BulathsinhalaDivision of Surgery and Interventional Science, UCL, London, UK.
Kurinchi GurusamyDivision of Surgery and Interventional Science, UCL, London, UK.
Brian R DavidsonDivision of Surgery and Interventional Science, UCL, London, UK.
Matthew J ClarksonUCL Hawkes Institute, Department of Medical Physics and Biomedical Engineering, UCL, London, UK.

Funding

Engineering and Physical Sciences Research Council [203145Z/16/Z]Engineering and Physical Sciences Research Council [EP/T029404/1]Invention for Innovation II-LA-1116-20005
6 · The paper itself

Abstract

purposeAugmented Reality (AR) is considered as a potential image guidance tool to increase the safety of laparoscopic liver surgery. By overlaying surface models of the liver and hepatic blood vessels derived from pre-operative 3D imaging onto the laparoscopic video images, surgeons can have more context on the surgical scene and perform more informed decisions. Although several techniques to enable AR have been reported, few studies have addressed clinical deployment feasibility and visual display requirements.

methodsWe present the results of a prospective study where a previously reported AR system, the Smartliver, has been evaluated with 13 participants consented for laparoscopic liver surgery. The system is optically tracked, the laparoscope is pre-operatively calibrated, and the AR overlay is obtained manually during surgery. We have prospectively tested 3 different AR displays and have obtained feedback from surgeons through Likert Scale questionnaires.

resultsQuestionnaire results on the suitability of displays for surgical use suggest the Smartliver AR overlay is intuitive, can help on decision-making, and has potential for future use. Surgeons showed preference for a display where only a restricted circular "hole" region of the 3D model is shown.

conclusionOptically tracked AR is easy to deploy, and surgeons agree on its potential to improve surgical outcomes of laparoscopic liver surgery. Future developments should focus on automating the AR overlay alignment process, predicting liver surface intra-operative deformations, and optimising the optical tracking system positioning.

Indexed as

Augmented RealityHepatectomyLaparoscopyLiverSurgery, Computer-AssistedAdultFemaleHumansImaging, Three-DimensionalMaleMiddle AgedProspective StudiesAugmented realityLaparoscopyLiver surgeryVisualisation

Identifiers

PMID40715656
PMCPMC12408658

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LicenceCC BY
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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.