A review of simulation training and new 3D computer-generated synthetic organs for robotic surgery education.
Cadaver
Printing
Robotics
Simulation
Surgery
Three dimensional
Training
Virtual reality
Journal
Journal of robotic surgery
ISSN: 1863-2491
Titre abrégé: J Robot Surg
Pays: England
ID NLM: 101300401
Informations de publication
Date de publication:
Aug 2022
Aug 2022
Historique:
received:
20
05
2021
accepted:
23
08
2021
pubmed:
5
9
2021
medline:
28
7
2022
entrez:
4
9
2021
Statut:
ppublish
Résumé
We conducted a comprehensive review of surgical simulation models used in robotic surgery education. We present an assessment of the validity and cost-effectiveness of virtual and augmented reality simulation, animal, cadaver and synthetic organ models. Face, content, construct, concurrent and predictive validity criteria were applied to each simulation model. There are six major commercial simulation machines available for robot-assisted surgery. The validity of virtual reality (VR) simulation curricula for psychomotor assessment and skill acquisition for the early phase of robotic surgery training has been demonstrated. The widespread adoption of VR simulation has been limited by the high cost of these machines. Live animal and cadavers have been the accepted standard for robotic surgical simulation since it began in the early 2000s. Our review found that there is a lack of evidence in the literature to support the use of animal and cadaver for robotic surgery training. The effectiveness of these models as a training tool is limited by logistical, ethical, financial and infection control issues. The latest evolution in synthetic organ model training for robotic surgery has been driven by new 3D-printing technology. Validated and cost-effective high-fidelity procedural models exist for robotic surgery training in urology. The development of synthetic models for the other specialties is not as mature. Expansion into multiple surgical disciplines and the widespread adoption of synthetic organ models for robotic simulation training will require the ability to engineer scalability for mass production. This would enable a transition in robotic surgical education where digital and synthetic organ models could be used in place of live animals and cadaver training to achieve robotic surgery competency.
Identifiants
pubmed: 34480323
doi: 10.1007/s11701-021-01302-8
pii: 10.1007/s11701-021-01302-8
pmc: PMC8415702
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
749-763Informations de copyright
© 2021. The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.
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