Skill progress during a dedicated societal robotic surgery training curriculum including several robotic surgery platforms.

Robotic surgery Simulation Training Virtual reality

Journal

Surgical endoscopy
ISSN: 1432-2218
Titre abrégé: Surg Endosc
Pays: Germany
ID NLM: 8806653

Informations de publication

Date de publication:
06 Aug 2024
Historique:
received: 27 05 2024
accepted: 27 07 2024
medline: 7 8 2024
pubmed: 7 8 2024
entrez: 6 8 2024
Statut: aheadofprint

Résumé

Robot-assisted procedures are increasingly common, and several systems are available for thoraco-abdominal surgery. Specific structured training is necessary, while access to these systems is still limited. This study aimed to assess surgeons' skill progress during consecutive training days of a curriculum with exposure to different robotic systems. This prospective observational study enrolled 47 surgeons with anonymized analysis of SimNow™ simulator performance scores and dedicated questionnaires after written consent. The primary outcome was the overall score, based on economy of motion, time to complete the exercise, and penalty for errors. Course participants in 2022-2023 had chosen 2 full hands-on days on Da Vinci® consoles with either virtual reality (VR) simulation training using the SimNow (n = 21, 44.7%) or digestive surgery procedures with a live animal model (n = 26, 55.3%). In all participants, training on Da Vinci® systems included console functions and principles of docking, camera, and instrument use for console and procedural training. They additionally had access to introductory dry-lab and VR simulator exercises on the Versius, Hugo The participants (16F/31M, median age 40 years, range 29-58) from various surgical specialties (general/visceral/vascular) had no (n = 35, 74.5%) or little (n = 12, 25.5%) robotic experience including bedside assistance only and 20 (42.6%) had robotic simulator experience. The demographic variables fully completed by 44/47 participants (93.6%) and choice of module had no significant impact on the primary outcome. The considerable performance improvement from days 1 to 2 was exemplified by a significantly increased economy of motion and decreased amount of excessive force. Robotic surgical training is increasingly complex with several systems on the market. Within a dedicated robotic surgery curriculum and based on integrated performance metrics, a significant improvement of skill levels was observed in a relatively short period of time.

Sections du résumé

BACKGROUND BACKGROUND
Robot-assisted procedures are increasingly common, and several systems are available for thoraco-abdominal surgery. Specific structured training is necessary, while access to these systems is still limited. This study aimed to assess surgeons' skill progress during consecutive training days of a curriculum with exposure to different robotic systems.
METHODS METHODS
This prospective observational study enrolled 47 surgeons with anonymized analysis of SimNow™ simulator performance scores and dedicated questionnaires after written consent. The primary outcome was the overall score, based on economy of motion, time to complete the exercise, and penalty for errors. Course participants in 2022-2023 had chosen 2 full hands-on days on Da Vinci® consoles with either virtual reality (VR) simulation training using the SimNow (n = 21, 44.7%) or digestive surgery procedures with a live animal model (n = 26, 55.3%). In all participants, training on Da Vinci® systems included console functions and principles of docking, camera, and instrument use for console and procedural training. They additionally had access to introductory dry-lab and VR simulator exercises on the Versius, Hugo
RESULTS RESULTS
The participants (16F/31M, median age 40 years, range 29-58) from various surgical specialties (general/visceral/vascular) had no (n = 35, 74.5%) or little (n = 12, 25.5%) robotic experience including bedside assistance only and 20 (42.6%) had robotic simulator experience. The demographic variables fully completed by 44/47 participants (93.6%) and choice of module had no significant impact on the primary outcome. The considerable performance improvement from days 1 to 2 was exemplified by a significantly increased economy of motion and decreased amount of excessive force.
CONCLUSION CONCLUSIONS
Robotic surgical training is increasingly complex with several systems on the market. Within a dedicated robotic surgery curriculum and based on integrated performance metrics, a significant improvement of skill levels was observed in a relatively short period of time.

Identifiants

pubmed: 39107481
doi: 10.1007/s00464-024-11128-8
pii: 10.1007/s00464-024-11128-8
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Agence Nationale de la Recherche
ID : "Programme d'investissements d'avenir" France 2030 (Reference ANR-10-IAHU-02)

Informations de copyright

© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

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Auteurs

Barbara Seeliger (B)

Institute of Image-Guided Surgery, IHU Strasbourg, 1, Place de l'Hôpital, 67091, Strasbourg Cedex, France. barbara.seeliger@ihu-strasbourg.eu.
Department of Digestive and Endocrine Surgery, University Hospitals of Strasbourg, Strasbourg, France. barbara.seeliger@ihu-strasbourg.eu.
IRCAD, Research Institute Against Digestive Cancer, Strasbourg, France. barbara.seeliger@ihu-strasbourg.eu.
ICube, UMR 7357 CNRS, INSERM U1328 RODIN, University of Strasbourg, Strasbourg, France. barbara.seeliger@ihu-strasbourg.eu.

Matteo Pavone (M)

Institute of Image-Guided Surgery, IHU Strasbourg, 1, Place de l'Hôpital, 67091, Strasbourg Cedex, France.
IRCAD, Research Institute Against Digestive Cancer, Strasbourg, France.
UOC Ginecologia Oncologica, Dipartimento di Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy.

Wolfgang Schröder (W)

Department of General, Visceral, Thoracic and Transplantation Surgery, University Hospital Cologne, University of Cologne, Cologne, Germany.

Colin M Krüger (CM)

Department of Surgery, Center of Robotics, University Hospital Rüdersdorf, Brandenburg Medical School Theodor-Fontane, Rüdersdorf, Germany.

Christiane J Bruns (CJ)

Department of General, Visceral, Thoracic and Transplantation Surgery, University Hospital Cologne, University of Cologne, Cologne, Germany.

Giovanni Scambia (G)

UOC Ginecologia Oncologica, Dipartimento di Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy.

Didier Mutter (D)

Institute of Image-Guided Surgery, IHU Strasbourg, 1, Place de l'Hôpital, 67091, Strasbourg Cedex, France.
Department of Digestive and Endocrine Surgery, University Hospitals of Strasbourg, Strasbourg, France.
IRCAD, Research Institute Against Digestive Cancer, Strasbourg, France.

Jacques Marescaux (J)

IRCAD, Research Institute Against Digestive Cancer, Strasbourg, France.

Hans F Fuchs (HF)

Department of General, Visceral, Thoracic and Transplantation Surgery, University Hospital Cologne, University of Cologne, Cologne, Germany.

Classifications MeSH