Evidence map›Paper›PMID 33291631›Full record

ArticleSensors (Basel, Switzerland)2020

LAPKaans: Tool-Motion Tracking and Gripping Force-Sensing Modular Smart Laparoscopic Training System.

Luis H Olivas-Alanis, Ricardo A Calzada-Briseño, Victor Segura-Ibarra, Elisa V Vázquez, Jose A Diaz-Elizondo, Eduardo Flores-Villalba, Ciro A Rodriguez

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

7 authors.

Luis H Olivas-AlanisTecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Monterrey, Nuevo León 64849, Mexico.ORCID 0000-0002-0880-2409
Ricardo A Calzada-BriseñoTecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Monterrey, Nuevo León 64849, Mexico.ORCID 0000-0003-0378-2434
Victor Segura-IbarraTecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Monterrey, Nuevo León 64849, Mexico.
Elisa V VázquezTecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Monterrey, Nuevo León 64849, Mexico.ORCID 0000-0002-1228-9636
Jose A Diaz-ElizondoTecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Nuevo León 64710, Mexico.ORCID 0000-0002-7441-034X
Eduardo Flores-VillalbaTecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Monterrey, Nuevo León 64849, Mexico.
Ciro A RodriguezTecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Monterrey, Nuevo León 64849, Mexico.ORCID 0000-0003-2289-4239

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Laparoscopic surgery demands highly skilled surgeons. Traditionally, a surgeon's knowledge is acquired by operating under a mentor-trainee method. In recent years, laparoscopic simulators have gained ground as tools in skill acquisition. Despite the wide range of laparoscopic simulators available, few provide objective feedback to the trainee. Those systems with quantitative feedback tend to be high-end solutions with limited availability due to cost. A modular smart trainer was developed, combining tool-tracking and force-using employing commercially available sensors. Additionally, a force training system based on polydimethylsiloxane (PDMS) phantoms for sample stiffness differentiation is presented. This prototype was tested with 39 subjects, between novices (13), intermediates (13), and experts (13), evaluating execution differences among groups in training exercises. The estimated cost is USD $200 (components only), not including laparoscopic instruments. The motion system was tested for noise reduction and position validation with a mean error of 0.94 mm. Grasping force approximation showed a correlation of 0.9975. Furthermore, differences in phantoms stiffness effectively reflected user manipulation. Subject groups showed significant differences in execution time, accumulated distance, and mean and maximum applied grasping force. Accurate information was obtained regarding motion and force. The developed force-sensing tool can easily be transferred to a clinical setting. Further work will consist on a validation of the simulator on a wider range of tasks and a larger sample of volunteers.

Indexed as

Clinical CompetenceLaparoscopyComputer SimulationFeedbackHumansMechanical PhenomenaUser-Computer Interfaceadditive manufacturingforce sensorlaparoscopic surgerymotion trackingsurgery simulator

Identifiers

PMID33291631
PMCPMC7730101

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.