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Robot-Assisted Microsurgery-what does the learning curve look like?
Frieberg, Helena; Winter, Jessica M; Engström, Olof; Önefäldt, Daniel; Nilsson, Anna; Mani, Maria.
Afiliación
  • Frieberg H; Section of Plastic and Maxillofacial Surgery, Department of Surgical Sciences, Uppsala University, and Department of Plastic and Reconstructive Surgery, Uppsala University Hospital, Uppsala, Uppsala, Sweden.
  • Winter JM; Section of Plastic and Maxillofacial Surgery, Department of Surgical Sciences, Uppsala University, and Department of Plastic and Reconstructive Surgery, Uppsala University Hospital, Uppsala, Uppsala, Sweden.
  • Engström O; Section of Plastic and Maxillofacial Surgery, Department of Surgical Sciences, Uppsala University, and Department of Plastic and Reconstructive Surgery, Uppsala University Hospital, Uppsala, Uppsala, Sweden.
  • Önefäldt D; Section of Plastic and Maxillofacial Surgery, Department of Surgical Sciences, Uppsala University, and Department of Plastic and Reconstructive Surgery, Uppsala University Hospital, Uppsala, Uppsala, Sweden.
  • Nilsson A; Section of Plastic and Maxillofacial Surgery, Department of Surgical Sciences, Uppsala University, and Department of Plastic and Reconstructive Surgery, Uppsala University Hospital, Uppsala, Uppsala, Sweden.
  • Mani M; Section of Plastic and Maxillofacial Surgery, Department of Surgical Sciences, Uppsala University, and Department of Plastic and Reconstructive Surgery, Uppsala University Hospital, Uppsala, Uppsala, Sweden.
JPRAS Open ; 42: 33-41, 2024 Dec.
Article en En | MEDLINE | ID: mdl-39286816
ABSTRACT

Background:

The introduction of robotic assistance in surgical practice has led to advancements such as the MUSA-2 robotic system that was designed for microsurgical procedures. Advantages of this system include tremor filtration and motion scaling. Initial studies showed promising results in skill acquisition for robot-assisted microsurgery. This study evaluated the learning curve for microsurgical anastomosis with and without robotic assistance among surgeons of varying experience levels.

Methods:

Fifteen surgeons were divided into 3 groups (novice, intermediate, and expert) based on their microsurgical experience. They performed 10 anastomoses by hand and 10 with robotic assistance on synthetic polyvinyl alcohol vessels (diameter of 2 mm) in a laboratory setting. Participants were timed and mistakes such as backwall and leakage were assessed and recorded. Demographic information was collected.

Results:

Statistical differences were found in manual anastomosis times between the intermediate and novice groups compared to the experts (p < 0.01). However, no statistical difference was found in the mean time between groups for the robot-assisted anastomoses. Novice doctors had the steepest learning curve for hand-sewn anastomosis. Experts had the fastest completion time at the end of the 10th robotic session, finishing at 14 min, compared to 33 min at the 2nd session. All groups reduced their mean time in half through their 10 robotic sessions.

Conclusion:

This study indicated similarities in the learning curves for robot-assisted anastomosis among surgeons with varied experience levels. Experts excelled technically in manual anastomoses, but robot-assistance enabled novice and intermediate surgeons to perform comparably to the experts. Robotic assistance may aid more novice learners in performing microsurgical anastomosis safely at earlier points in their education.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: JPRAS Open Año: 2024 Tipo del documento: Article País de afiliación: Suecia Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: JPRAS Open Año: 2024 Tipo del documento: Article País de afiliación: Suecia Pais de publicación: Países Bajos