Literature DB >> 34378022

Supravalvular aortic stenosis repair: surgical training of 2 repair techniques using 3D-printed models.

Nabil Hussein1,2, Osami Honjo1,2, David J Barron1,2, Shi-Joon Yoo1,3.   

Abstract

There are a number of techniques used in the surgical treatment of supravalvular aortic stenosis with excellent results; however, junior surgeons' experience may be limited due to its rare nature. Simulation with 3D-printed models provides a safe platform for surgeons to rehearse surgical techniques prior to patient application but must replicate all features of surgical anatomy. Here, we describe how software manipulation can be used to accurately reproduce the surgical anatomy in supravalvular aortic stenosis and be used to train surgeons in 2 different techniques.
© The Author(s) 2021. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.

Entities:  

Keywords:  3D-printing; Education; Simulation; Supravalvular aortic stenosis

Mesh:

Year:  2021        PMID: 34378022      PMCID: PMC8669556          DOI: 10.1093/icvts/ivab198

Source DB:  PubMed          Journal:  Interact Cardiovasc Thorac Surg        ISSN: 1569-9285


  2 in total

1.  Needle Penetration Simulation: Influence of Penetration Angle and Sample Stress on the Mechanical Behaviors of Polymers Applying a Cast Silicone and a 3D-Printed Resin.

Authors:  Thore von Steuben; Florian K Enzmann; Sebastian Spintzyk; Frank Rupp; Ariadne Roehler
Journal:  Materials (Basel)       Date:  2022-08-13       Impact factor: 3.748

2.  Repetitive simulation training with novel 3D-printed sinus models for functional endoscopic sinus surgeries.

Authors:  Masanobu Suzuki; Kou Miyaji; Ryosuke Watanabe; Takayoshi Suzuki; Kotaro Matoba; Akira Nakazono; Yuji Nakamaru; Atsushi Konno; Alkis James Psaltis; Takashige Abe; Akihiro Homma; Peter-John Wormald
Journal:  Laryngoscope Investig Otolaryngol       Date:  2022-07-21
  2 in total

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