Hand Sewn Anastomosis Skill Acquisition and In Vivo Transfer Using 3D-Printed Small Bowel Simulator.


Journal

The Journal of surgical research
ISSN: 1095-8673
Titre abrégé: J Surg Res
Pays: United States
ID NLM: 0376340

Informations de publication

Date de publication:
08 2023
Historique:
received: 09 06 2022
revised: 21 02 2023
accepted: 08 03 2023
medline: 15 5 2023
pubmed: 9 4 2023
entrez: 8 4 2023
Statut: ppublish

Résumé

General surgery residents need to master the hand-sewn bowel anastomosis (HSBA) technique. However, practice opportunities outside of the operating room are rare, and commercial simulators are often costly. The objective of this study is to assess the efficacy of a new, affordable silicone small bowel simulator, made with a three-dimensional (3D) printed mold, as a training tool to learn this technique. This was a single-blinded pilot randomized controlled trial comparing two groups of eight junior surgical residents. All participants completed a pretest using an inexpensive, custom developed 3D-printed simulator. Next, participants randomized to the experimental group practiced the HSBA skill at home (eight sessions), while those randomized to the control group did not receive any hands-on practice opportunities. A posttest was done using the same simulator as for the pretest and practice sessions, and the retention-transfer test was performed on an anesthetized porcine model. Pretests, posttests and retention-transfer tests were filmed and graded by a blinded evaluator using assessments of technical skills, quality of final product, and tests of procedural knowledge. The experimental group significantly improved after practicing with the model (P = 0.01), while an equivalent improvement was not noted in the control group (P = 0.07). Moreover, the experimental group's performance remained stable between the posttest and the retention-transfer test (P = 0.95). Our 3D-printed simulator is an affordable and efficacious tool to teach residents the HSBA technique. It allows development of surgical skills that are transferable to an in vivo model.

Identifiants

pubmed: 37030179
pii: S0022-4804(23)00104-X
doi: 10.1016/j.jss.2023.03.004
pii:
doi:

Types de publication

Journal Article Randomized Controlled Trial Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

225-232

Informations de copyright

Crown Copyright © 2023. Published by Elsevier Inc. All rights reserved.

Auteurs

Merieme Habti (M)

Faculty of Medicine, Université de Montréal, Montreal, Quebec, Canada. Electronic address: merieme.habti@umontreal.ca.

Florence Bénard (F)

Faculty of Medicine, Université de Montréal, Montreal, Quebec, Canada; Department of Surgery, Surgical Oncology Service, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada.

Léamarie Meloche-Dumas (L)

Faculty of Medicine, Université de Montréal, Montreal, Quebec, Canada; Department of Surgery, Surgical Oncology Service, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada.

Simon Bérubé (S)

Faculty of Medicine, Université de Montréal, Montreal, Quebec, Canada.

Dominic Cadoret (D)

Faculty of Medicine, Université de Montréal, Montreal, Quebec, Canada.

Artur Arutiunian (A)

Department of Health Sciences, Ontario Tech University, Oshawa, Ontario, Canada.

Yasmina Papas (Y)

Department of Surgery, Surgical Oncology Service, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada.

Andrei Torres (A)

Software Informatics Research Centre, Ontario Tech University, Oshawa, Ontario, Canada.

Bill Kapralos (B)

Software Informatics Research Centre, Ontario Tech University, Oshawa, Ontario, Canada.

Frédéric Mercier (F)

Department of Surgery, Surgical Oncology Service, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada.

Adam Dubrowski (A)

Department of Health Sciences, Ontario Tech University, Oshawa, Ontario, Canada.

Erica Patocskai (E)

Department of Surgery, Surgical Oncology Service, Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada.

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Classifications MeSH