Literature DB >> 35789285

A three-dimensionally printed otological model for cholesteatoma mastoidectomy training.

Marcos Antonio de Souza1, Ricardo Ferreira Bento2, Paula Tardim Lopes2.   

Abstract

PURPOSE: To relate the creation and expert validation (face and content validity) of an affordable three-dimensional (3-D) printed model of temporal bones with chronic otitis media with cholesteatoma (COMC) as a simulator for mastoidectomy.
METHODS: We performed computed tomography (CT) of the temporal bones of a patient with COMC followed at the University of São Paulo (USP) Hospital with 3-D Slicer to create a 3-D model of the affected bone using light-curing resin and silicone (cholesteatoma). The final 3-D printed images were scored by 10 otologists using a customized version of the Michigan Standard Simulation Scale Experience (MiSSES). Internal consistency and inter-rater reliability were assessed using Cronbach's α and intraclass correlations.
RESULTS: Otologists consistently scored the model positively for fidelity, educational value, reactions, and the overall model quality. Nine otologists agreed that the model was a good educational device for surgical training of COMC. All experts deemed the model ready-or nearly ready-for use. The final cost of the model, including raw materials and manufacturing, was 120 USD.
CONCLUSIONS: Using 3-D printing technology, we created the first anatomically accurate, low-cost, disease-reproducing 3-D model of temporal bones for mastoidectomy training for cholesteatoma.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  3-D printing; Cholesteatoma; ENT (otolaryngology); Mastoidectomy; Surgical simulator

Year:  2022        PMID: 35789285     DOI: 10.1007/s00405-022-07536-y

Source DB:  PubMed          Journal:  Eur Arch Otorhinolaryngol        ISSN: 0937-4477            Impact factor:   2.503


  1 in total

1.  An Open-Source Three-Dimensionally Printed Laryngeal Model for Injection Laryngoplasty Training.

Authors:  Mark Lee; Chelston Ang; Katerina Andreadis; James Shin; Anaïs Rameau
Journal:  Laryngoscope       Date:  2020-08-04       Impact factor: 3.325

  1 in total

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