Development and Validation of a Virtual Reality Simulator for Robot-Assisted Minimally Invasive Liver Surgery Training.
kinematic parameters
simulation training
virtual reality
Journal
Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588
Informations de publication
Date de publication:
17 Jul 2022
17 Jul 2022
Historique:
received:
06
06
2022
revised:
09
07
2022
accepted:
13
07
2022
entrez:
27
7
2022
pubmed:
28
7
2022
medline:
28
7
2022
Statut:
epublish
Résumé
The value of kinematic data for skill assessment is being investigated. This is the first virtual reality simulator developed for liver surgery. This simulator was coded in C++ using PhysX and FleX with a novel cutting algorithm and used a patient data-derived model and two instruments functioning as ultrasonic shears. The simulator was evaluated by nine expert surgeons and nine surgical novices. Each participant performed a simulated metastasectomy after training. Kinematic data were collected for the instrument position. Each participant completed a survey. The expert participants had a mean age of 47 years and 9/9 were certified in surgery. Novices had a mean age of 30 years and 0/9 were certified surgeons. The mean path length (novice 0.76 ± 0.20 m vs. expert 0.46 ± 0.16 m,
Identifiants
pubmed: 35887909
pii: jcm11144145
doi: 10.3390/jcm11144145
pmc: PMC9322966
pii:
doi:
Types de publication
Journal Article
Langues
eng
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