Evidence map›Paper›PMID 31161291›Full record

ArticleSurgical endoscopy2020

Augmented reality in gynecologic laparoscopic surgery: development, evaluation of accuracy and clinical relevance of a device useful to identify ureters during surgery.

Cherif Akladios, Victor Gabriele, Vincent Agnus, Camille Martel-Billard, Ralph Saadeh, Olivier Garbin, Lise Lecointre, Jacques Marescaux

Abstract read
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In one paragraph

Article in Surgical endoscopy, 2020. 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
2.2field-weighted citation impact, top 13% of its field
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, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Phantom study on surgical performance in augmented reality laparoscopy.International journal of computer assisted radiology and surgery · 2023
    Article
  4. Article
  5. Review
  6. 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

8 authors at 2 institutions in 1 country.

Cherif AkladiosService de Gynécologie - Site de Hautepierre, Pôle de Gynécologie-Obstétrique des Hôpitaux Universitaires de Strasbourg, 1 avenue Molière, 67200, Strasbourg, France.
Victor GabrieleService de Gynécologie - Site de Hautepierre, Pôle de Gynécologie-Obstétrique des Hôpitaux Universitaires de Strasbourg, 1 avenue Molière, 67200, Strasbourg, France. Victor.gabriele@chru-strasbourg.fr.
Vincent AgnusInstitut de chirurgie guidée par l'image (IHU) de Strasbourg, 1 place de l'hôpital, 67000, Strasbourg, France.
Camille Martel-BillardService de Gynécologie - Site de Hautepierre, Pôle de Gynécologie-Obstétrique des Hôpitaux Universitaires de Strasbourg, 1 avenue Molière, 67200, Strasbourg, France.
Ralph SaadehService de Gynécologie - Site de Hautepierre, Pôle de Gynécologie-Obstétrique des Hôpitaux Universitaires de Strasbourg, 1 avenue Molière, 67200, Strasbourg, France.
Olivier GarbinService de Gynécologie - Site de Hautepierre, Pôle de Gynécologie-Obstétrique des Hôpitaux Universitaires de Strasbourg, 1 avenue Molière, 67200, Strasbourg, France.
Lise LecointreService de Gynécologie - Site de Hautepierre, Pôle de Gynécologie-Obstétrique des Hôpitaux Universitaires de Strasbourg, 1 avenue Molière, 67200, Strasbourg, France.
Jacques MarescauxInstitut de chirurgie guidée par l'image (IHU) de Strasbourg, 1 place de l'hôpital, 67000, Strasbourg, France.
Hôpitaux Universitaires de Strasbourg · FRInstitut de Chirurgie Guidée par l'Image · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop and evaluate a non-invasive surgical assistance based on augmented reality (AR) in the detection of ureters on animal model.

methodAfter an experimental prototyping step on two pigs to determine the optimal conditions for visualization of the ureter in AR, three pigs were operated three times at 1 week intervals. The intervention consisted of an identification of the ureter, with and without the assistance of AR. At the end of the intervention, a clip was placed on the AR-proposed ureter to evaluate its accuracy. By doing a cone beam computed tomography, we measured the distance between the contrasted ureter and the clips in the acquired volume. Thirteen videos were recorded, allowing subsequent evaluation of the clinical relevance of the device.

resultsThe feasibility of the technique has been confirmed. The margin of error was 1.77 mm (± 1.56 mm) for ureter localization accuracy. In order to evaluate the perceived relevance and accuracy in the detection of AR-assisted ureter, 58 gynecological surgeons were shown the videos then questioned. Of the 754 responses obtained (13 videos × 58 surgeons), the ureter was identified in direct vision in 31.2% of cases versus 81.7% in AR (p value 3.62 × 10

conclusionThis first AR device showed a satisfactory precision in the detection of ureters with a favorable opinion of surgeons. This surgical assistance system could be helpful in the performance of difficult procedures, for example in the case of patients, which have undergone multiple surgeries in the past.

Indexed as

Augmented RealityGynecologic Surgical ProceduresLaparoscopyUreterAnimalsEndoscopesFemaleHumansImaging, Three-DimensionalMaleModels, AnimalPhantoms, ImagingReproducibility of ResultsSoftwareSurgeonsSurgery, Computer-AssistedAugmented realityClinical relevanceLaparoscopyModeling of uretersPrecision

Identifiers

PMID31161291
OpenAlexW2948741081

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.