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Human corpse model for video-assisted thoracoscopic lobectomy simulation and training
Author(s) -
Andrea Dell’Amore,
Rafael BoscoloBerto,
Marco Schiavon,
Alessandro Pangoni,
Andrea Porzionato,
Veronica Macchi,
Raffaele De,
Federico Rea
Publication year - 2020
Publication title -
interactive cardiovascular and thoracic surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.546
H-Index - 56
eISSN - 1569-9293
pISSN - 1569-9285
DOI - 10.1093/icvts/ivaa169
Subject(s) - medicine , surgical simulation , interquartile range , session (web analytics) , video assisted thoracoscopic surgery , surgery , cardiothoracic surgery , simulation training , medical physics , simulation , computer science , world wide web
OBJECTIVES Minimally invasive surgery simulation is an integral part of surgical education and skills acquisition. Our goal was to present a new video-assisted thoracic surgery simulation model based on the human corpse as an alternative to animal models. METHODS Selective cannulation of the cadaver heart was used to fill the pulmonary vessels with a gel to improve the visibility and tactile feedback of the vessels and to simulate any bleeding complications. During surgical simulation, the tutor fills out a questionnaire designed to evaluate the duration of the procedure, the correct completion of the surgical steps and the occurrence of complications. At the end of the simulation session, in order to compare the simulation to clinical practice, all the participants were asked to answer 5 questions using a scale from 1 to 10. RESULTS We have performed 2 hands-on sessions using 2 human corpses for each session. Each surgeon performed 1 lobectomy using video-assisted thoracoscopic surgery (VATS) first as the operator and at least 1 lobectomy as an assistant. The median operative time was 83 min in favour of surgeons who had previously performed more than 30 video-assisted lobectomies (P = 0.03). All the surgeons were able to complete all the steps of the procedure; surgeons who had performed fewer than 10 lobectomies required more support by the tutors than the other surgeons. The median total score was 40.5 (interquartile range 39–44.8). CONCLUSIONS We believe that this model includes most of the features necessary to validate a surgical simulator and allows realistic training for performing a VATS lobectomy. This model could be an effective alternative to anaesthetized animals for VATS lobectomy training and simulation.

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