Literature DB >> 31983523

Quantitative assessment of technical performance during hands-on surgical training of the arterial switch operation using 3-dimensional printed heart models.

Nabil Hussein1, Osami Honjo1, Christoph Haller1, John G Coles1, Zhongdong Hua2, Glen Van Arsdell3, Shi-Joon Yoo4.   

Abstract

OBJECTIVE: Data supporting the use of hands-on simulation in congenital heart surgery are promising but primarily qualitative. This study aimed to demonstrate if there was an objective improvement in time and technical performance of the arterial switch procedure on 3-dimensional printed heart models by surgeons using a validated assessment method.
METHODS: A total of 30 surgeons of varying experience performed the arterial switch procedure twice on 3-dimensional printed models with transposition of the great arteries during the Hands-on Surgical Training courses. Surgeons' performances were recorded and retrospectively assessed for both time and performance using the Hands-on Surgical Training-Congenital Heart Surgery tool, a validated procedure-specific assessment tool for the arterial switch.
RESULTS: A total of 60 videos were scored. Eighty percent of surgeons (24/30) had improved from their first attempt. The mean total score of the first attempt performance compared with the second was 103 and 120, respectively, with a mean difference in score of 17 (95% confidence interval, 10-24). All surgeons were statistically significantly quicker in their second attempt. The mean time for the first attempt compared with the second was 1 hour, 28 minutes, 4 seconds and 1 hour, 5 minutes, and 45 seconds, respectively, with a mean difference of 0 hours, 22 minutes, 19 seconds (95% confidence interval, 0 hours, 15 minutes, 22 seconds to 0 hours, 25 minutes, 34 seconds).
CONCLUSIONS: This is the first study to demonstrate an objective improvement in time and technical performance of the arterial switch procedure on 3-dimensional printed heart models. This supports the evidence that simulation in the form of deliberate practice with constructive, objective feedback is fundamental in the training of future congenital heart surgeons. These simulations and assessments should be incorporated to create structured, standardized training curricula within congenital heart surgery. Crown
Copyright © 2019. Published by Elsevier Inc. All rights reserved.

Keywords:  3D printing; arterial switch operation; assessment; congenital heart surgery; education; simulation

Year:  2019        PMID: 31983523     DOI: 10.1016/j.jtcvs.2019.11.123

Source DB:  PubMed          Journal:  J Thorac Cardiovasc Surg        ISSN: 0022-5223            Impact factor:   5.209


  5 in total

1.  Design and 3D printing of variant pediatric heart models for training based on a single patient scan.

Authors:  Carina Hopfner; Andre Jakob; Anja Tengler; Maximilian Grab; Nikolaus Thierfelder; Barbara Brunner; Alisa Thierij; Nikolaus A Haas
Journal:  3D Print Med       Date:  2021-08-31

2.  State-of-the-art silicone molded models for simulation of arterial switch operation: Innovation with parting-and-assembly strategy.

Authors:  Brandon Peel; Whal Lee; Nabil Hussein; Shi-Joon Yoo
Journal:  JTCVS Tech       Date:  2022-01-19

3.  The use of objective assessments in the evaluation of technical skills in cardiothoracic surgery: a systematic review.

Authors:  Nabil Hussein; Jef Van den Eynde; Connor Callahan; Alvise Guariento; Can Gollmann-Tepeköylü; Malak Elbatarny; Mahmoud Loubani
Journal:  Interact Cardiovasc Thorac Surg       Date:  2022-08-03

Review 4.  Congenital Heart Surgery Skill Training Using Simulation Models: Not an Option but a Necessity.

Authors:  Shi-Joon Yoo; Nabil Hussein; David J Barron
Journal:  J Korean Med Sci       Date:  2022-10-03       Impact factor: 5.354

Review 5.  The horizon of pediatric cardiac critical care.

Authors:  Uri Pollak; Yael Feinstein; Candace N Mannarino; Mary E McBride; Malaika Mendonca; Eitan Keizman; David Mishaly; Grace van Leeuwen; Peter P Roeleveld; Lena Koers; Darren Klugman
Journal:  Front Pediatr       Date:  2022-09-16       Impact factor: 3.569

  5 in total

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