Evidence map›Paper›PMID 40624413›Full record

ArticleSurgical endoscopy2025

Improved tumour localisation during minimally invasive liver surgery using augmented reality: a retrospective study with propensity score analysis.

Florian Martinet-Kosinski, Bertrand Le Roy, Yamid Espinel Lopez, Adrien Bartoli, Emmanuel Buc

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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 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Florian Martinet-KosinskiDepartment of HPB and Digestive Surgery, Clermont-Ferrand University Hospital Estaing, 1 Place, Lucie & Raymond Aubrac, 63003, Clermont-Ferrand Cedex, France.
Bertrand Le RoyDepartment of HPB and Oncologic Surgery, Saint-Etienne University Hospital, Saint-Priest-en-Jarez, France.
Yamid Espinel LopezEnCoV, Institut Pascal UMR6602, UCA, CNRS, Clermont-Ferrand, France.
Adrien BartoliSurgAR Surgical Augmented Reality, Clermont-Ferrand, France.
Emmanuel BucDepartment of HPB and Digestive Surgery, Clermont-Ferrand University Hospital Estaing, 1 Place, Lucie & Raymond Aubrac, 63003, Clermont-Ferrand Cedex, France. ebuc@chu-clermontferrand.fr.ORCID http://orcid.org/0000-0002-3559-166X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMinimally invasive liver surgery (MILS) decreases postoperative morbidity but presents specific difficulties, including precise tumour localisation. Conversion to open surgery is sometimes necessary because the tumour cannot be visualised. We previously proposed Hepataug, an augmented reality (AR) software for laparoscopic liver surgery that enables a deformable 3D model of a patient's liver to be merged semi-automatically with the image on the laparoscopic screen during surgery. The aim of this study was therefore to evaluate the contribution of AR to reducing the rate of conversion but without worsening resection margins.

methodsAll patients who underwent MILS between 2017 and 2023 were included and divided into two groups depending on whether AR guidance was used during surgery (AR+ group, n = 33) or not (AR- group, n = 212). The two groups were compared in terms of perioperative outcomes, and particularly the rate of conversion to laparotomy because of a failure to locate the tumour. A propensity score analysis was implemented using the inverse probability of treatment weighting method.

resultsThe conversion rate was zero in the AR+ group, while six patients in the AR- group required necessitated conversion to laparotomy to detect the tumour. AR increased operative time by around 10%, with no significant differences in terms of resection margins and postoperative complications (biliary fistula, Dindo-Clavien grade) between the two groups.

conclusionOur study showed that AR could successfully guide the intraoperative localisation of liver tumours and avoid conversion due to an intraoperative non-visualisation of tumours. In addition, AR did not increase postoperative complications or operative times, and could easily be applied during surgery.

Indexed as

Augmented RealityHepatectomyLaparoscopyLiver NeoplasmsSurgery, Computer-AssistedAdultAgedConversion to Open SurgeryFemaleHumansMaleMargins of ExcisionMiddle AgedOperative TimePostoperative ComplicationsPropensity ScoreAugmented realityLaparoscopicLiver surgery

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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.