Evidence map›Paper›PMID 31621024›Full record

ArticleJournal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract2020

Efficiency, Accuracy and Clinical Applicability of a New Image-Guided Surgery System in 3D Laparoscopic Liver Surgery.

Gian Andrea Prevost, Benjamin Eigl, Iwan Paolucci, Tobias Rudolph, Matthias Peterhans, Stefan Weber, Guido Beldi, Daniel Candinas, Anja Lachenmayer

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Pooled it
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  12. Minimizing blood loss and transfusion rate in laparoscopic liver surgery: a review.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2023
    Review
  13. Article
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  15. Ultrasound-based navigation for open liver surgery using active liver tracking.International journal of computer assisted radiology and surgery · 2022
    Article
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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

9 authors at 1 institution in 1 country.

Gian Andrea PrevostDepartment of Visceral Surgery and Medicine, Inselspital, University Hospital Bern, University of Bern, 3010, Bern, Switzerland. gianandrea.prevost@insel.ch.ORCID http://orcid.org/0000-0002-6041-3304
Benjamin EiglARTORG Center for Biomedical Engineering Research, University of Bern, 3010, Bern, Switzerland.
Iwan PaolucciARTORG Center for Biomedical Engineering Research, University of Bern, 3010, Bern, Switzerland.
Tobias RudolphCAScination AG, 3008, Bern, Switzerland.
Matthias PeterhansCAScination AG, 3008, Bern, Switzerland.
Stefan WeberARTORG Center for Biomedical Engineering Research, University of Bern, 3010, Bern, Switzerland.
Guido BeldiDepartment of Visceral Surgery and Medicine, Inselspital, University Hospital Bern, University of Bern, 3010, Bern, Switzerland.
Daniel CandinasDepartment of Visceral Surgery and Medicine, Inselspital, University Hospital Bern, University of Bern, 3010, Bern, Switzerland.
Anja LachenmayerDepartment of Visceral Surgery and Medicine, Inselspital, University Hospital Bern, University of Bern, 3010, Bern, Switzerland.
University of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate efficiency, accuracy and clinical benefit of a new augmented reality system for 3D laparoscopic liver surgery.

methodsAll patients who received laparoscopic liver resection by a new image-guided surgery system with augmented 3D-imaging in a university hospital were included for analysis. Digitally processed preoperative cross-sectional imaging was merged with the laparoscopic image. Intraoperative efficiency of the procedure was measured as time needed to achieve sufficient registration accuracy. Technical accuracy was reported as fiducial registration error (FRE). Clinical benefit was assessed trough a questionnaire, reporting measures in a 5-point Likert scale format ranging from 1 (high) to 5 (low).

resultsFrom January to March 2018, ten laparoscopic liver resections of a total of 18 lesions were performed using the novel augmented reality system. Median time for registration was 8:50 min (range 1:31-23:56). The mean FRE was reduced from 14.0 mm (SD 5.0) in the first registration attempt to 9.2 mm (SD 2.8) in the last attempt. The questionnaire revealed the ease of use of the system (1.2, SD 0.4) and the benefit for resection of vanishing lesions (1.0, SD 0.0) as convincing positive aspects, whereas image registration accuracy for resection guidance was consistently judged as too inaccurate.

conclusionsAugmented reality in 3D laparoscopic liver surgery with landmark-based registration technique is feasible with only little impact on the intraoperative workflow. The benefit for detecting particularly vanishing lesions is high. For an additional benefit during the resection process, registration accuracy has to be improved and non-rigid registration algorithms will be required to address intraoperative anatomical deformation.

Indexed as

LaparoscopySurgery, Computer-AssistedAlgorithmsHepatectomyHumansImaging, Three-DimensionalLiver3DAugmented realityImage-guided surgeryLaparoscopyLiver

Identifiers

PMID31621024
OpenAlexW2980607137

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.