Evidence map›Paper›PMID 36781742›Full record

ArticleInternational journal of computer assisted radiology and surgery2023

EndoTrainer: a novel hybrid training platform for endoscopic surgery.

Albert Hernansanz, Ramon Rovira, Joan Basomba, Roger Comas, Alícia Casals

Abstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Albert Hernansanz *Research Centre for Biomedical Engineering. (CREB), Technical University of Catalonia (UPC), Jordi Girona 1-3, 08034, Barcelona, Catalonia, Spain. albert.hernansanz@upc.edu.ORCID http://orcid.org/0000-0002-7969-5401
Ramon Rovira *Gynaecology and Obstetrics dept., Hospital de la Santa Creu i Sant Pau, Sant Quintí, 89, 08041, Barcelona, Catalonia, Spain.
Joan BasombaSurgiTrainer, Jordi Girona 1-3, Omega Building Off. 408, 08034, Barcelona, Catalonia, Spain.
Roger ComasSurgiTrainer, Jordi Girona 1-3, Omega Building Off. 408, 08034, Barcelona, Catalonia, Spain.
Alícia CasalsResearch Centre for Biomedical Engineering. (CREB), Technical University of Catalonia (UPC), Jordi Girona 1-3, 08034, Barcelona, Catalonia, Spain.

Funding

AGAUR 2014Llavor0002
6 · The paper itself

Abstract

purposeEndoscopy implies high demanding procedures, and their practice requires structured formation curricula supported by adequate training platforms. Physical platforms are the most standardised solution for surgical training, but over the last few years, virtual platforms have been progressively introduced. This research work presents a new hybrid, physic-virtual, endoscopic training platform that exploits the benefits of the two kind of platforms combining realistic tools and phantoms together with the capacity of measuring all relevant parameters along the execution of the exercises and of providing an objective assessment performance.

methodsThe developed platform, EndoTrainer, has been designed to train and assess surgical skills in hysteroscopy and cystoscopy following a structured curricula. The initial development and validation is focused on hysteroscopic exercises proposed in the Gynaecological Endoscopic Surgical Education and Assessment (GESEA) Certification Programme from The Academy and European Society for Gynaecological Endoscopy (ESGE) and analyses the obtained results of an extensive study with 80 gynaecologists executing 30 trials of the standard 30 degree endoscope navigation exercise.

resultsThe experiments demonstrate the benefits of the presented hybrid platform. Multi-variable statistical analysis points out that all subjects have obtained statistically significant improvement in all relevant parameters: shorter and safer trajectories, improved 30-degree endoscope navigation, accurate positioning over the targets and reduction of the execution time.

conclusionThis paper presents a new hybrid approach for training, and evaluating whether it provides an objectivable improvement of camera navigation endoscopic basic skills. The obtained results demonstrate the initial hypothesis: all subjects have improved their camera handling and navigation skills.

Indexed as

Clinical CompetenceEndoscopyCurriculumEndoscopy, GastrointestinalFemaleGynecologic Surgical ProceduresHumansEndoscopic assessmentEndoscopic trainingHybrid surgical training platformSurgical simulation

Identifiers

PMID36781742
PMCPMC10113296

What OpenQuestion holds

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LicenceCC BY
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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.