Evidence map›Paper›PMID 35187094›Full record

ArticleFrontiers in robotics and AI2022

Visual Haptic Feedback for Training of Robotic Suturing.

François Jourdes, Brice Valentin, Jérémie Allard, Christian Duriez, Barbara Seeliger

Open access · goldAbstract read
In one paragraph

Article in Frontiers in robotics and AI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 18% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  6. Review
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  10. Observational
  11. Article
  12. Review
  13. Surgical stress: the muscle and cognitive demands of robotic and laparoscopic surgery.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2023
    Article
  14. Basic performance of domestic surgical robot and the safety and effectiveness of integrated energy equipment.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023
    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

5 authors at 3 institutions in 1 country.

François JourdesInSimo SAS, Strasbourg, France.
Brice ValentinInSimo SAS, Strasbourg, France.
Jérémie AllardInSimo SAS, Strasbourg, France.
Christian DuriezDEFROST Team, UMR 9189 CRIStAL, CNRS, Centrale Lille, Inria, University of Lille, Lille, France.
Barbara SeeligerIHU-Strasbourg, Institute of Image-Guided Surgery, Strasbourg, France.
Institut de Recherche contre les Cancers de l’Appareil Digestif · FRÉcole Centrale de Lille · FRUniversité de Strasbourg · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current surgical robotic systems are teleoperated and do not have force feedback. Considerable practice is required to learn how to use visual input such as tissue deformation upon contact as a substitute for tactile sense. Thus, unnecessarily high forces are observed in novices, prior to specific robotic training, and visual force feedback studies demonstrated reduction of applied forces. Simulation exercises with realistic suturing tasks can provide training outside the operating room. This paper presents contributions to realistic interactive suture simulation for training of suturing and knot-tying tasks commonly used in robotically-assisted surgery. To improve the realism of the simulation, we developed a global coordinate wire model with a new constraint development for the elongation. We demonstrated that a continuous modeling of the contacts avoids instabilities during knot tightening. Visual cues are additionally provided, based on the computation of mechanical forces or constraints, to support learning how to dose the forces. The results are integrated into a powerful system-agnostic simulator, and the comparison with equivalent tasks performed with the da Vinci Xi system confirms its realism.

Indexed as

collision detectionhapticsknot-tyingminimally invasive surgeryrobotic surgery trainingsurgical simulationvirtual reality

Identifiers

PMID35187094
PMCPMC8849007
OpenAlexW4210380169

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.