Literature DB >> 28110854

Training in Cerebral Aneurysm Clipping Using Self-Made 3-Dimensional Models.

Toshihiro Mashiko1, Naoki Kaneko2, Takehiko Konno2, Keisuke Otani3, Rie Nagayama2, Eiju Watanabe2.   

Abstract

INTRODUCTION: Recently, there have been increasingly fewer opportunities for junior surgeons to receive on-the-job training. Therefore, we created custom-built three-dimensional (3D) surgical simulators for training in connection with cerebral aneurysm clipping.
METHODS: Three patient-specific models were composed of a trimmed skull, retractable brain, and a hollow elastic aneurysm with its parent artery. The brain models were created using 3D printers via a casting technique. The artery models were made by 3D printing and a lost-wax technique. Four residents and 2 junior neurosurgeons attended the training courses. The trainees retracted the brain, observed the parent arteries and aneurysmal neck, selected the clip(s), and clipped the neck of an aneurysm. The duration of simulation was recorded. A senior neurosurgeon then assessed the trainee's technical skill and explained how to improve his/her performance for the procedure using a video of the actual surgery. Subsequently, the trainee attempted the clipping simulation again, using the same model. After the course, the senior neurosurgeon assessed each trainee's technical skill. The trainee critiqued the usefulness of the model and the effectiveness of the training course.
RESULTS: Trainees succeeded in performing the simulation in line with an actual surgery. Their skills tended to improve upon completion of the training.
CONCLUSION: These simulation models are easy to create, and we believe that they are very useful for training junior neurosurgeons in the surgical techniques needed for cerebral aneurysm clipping.
Copyright © 2017 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  3D model; 3D printing; Medical Knowledge; Practice-Based Learning; Systems-Based Practice; aneurysm clipping; cerebral aneurysm; simulator; simulator training

Mesh:

Year:  2017        PMID: 28110854     DOI: 10.1016/j.jsurg.2016.12.010

Source DB:  PubMed          Journal:  J Surg Educ        ISSN: 1878-7452            Impact factor:   2.891


  7 in total

1.  Building Three-Dimensional Intracranial Aneurysm Models from 3D-TOF MRA: a Validation Study.

Authors:  Turker Acar; Asli Beril Karakas; Mehmet Asim Ozer; Ali Murat Koc; Figen Govsa
Journal:  J Digit Imaging       Date:  2019-12       Impact factor: 4.056

2.  A 3-Dimensional-Printed Spine Localizer: Introducing the Concept of Online Dissemination of Novel Surgical Instruments.

Authors:  Peyman Pakzaban
Journal:  Neurospine       Date:  2018-08-22

3.  Systematic review of three-dimensional printing for simulation training of interventional radiology trainees.

Authors:  Chase Tenewitz; Rebecca T Le; Mauricio Hernandez; Saif Baig; Travis E Meyer
Journal:  3D Print Med       Date:  2021-04-21

4.  Obstacles to cadaver use for the development of neurosurgical techniques and devices in Japan.

Authors:  Yoshio Araki; Toshiaki Shichinohe; Takane Suzuki; Eiji Kobayashi
Journal:  Neurosurg Rev       Date:  2022-03-04       Impact factor: 3.042

5.  Presurgical selection of the ideal aneurysm clip by the use of a three-dimensional planning system.

Authors:  Eike Schwandt; Ralf Kockro; Andreas Kramer; Martin Glaser; Florian Ringel
Journal:  Neurosurg Rev       Date:  2022-05-12       Impact factor: 2.800

6.  3D Printing of Rapid, Low-Cost and Patient-Specific Models of Brain Vasculature for Use in Preoperative Planning in Clipping of Intracranial Aneurysms.

Authors:  Maciej Błaszczyk; Redwan Jabbar; Bartosz Szmyd; Maciej Radek
Journal:  J Clin Med       Date:  2021-03-13       Impact factor: 4.241

7.  Advanced Manufacturing in the Fabrication of a Lifelike Brain Glioblastoma Simulator for the Training of Neurosurgeons.

Authors:  Pin-Chuan Chen; Yu-Wen Yang; Jang-Chun Lin; Wei-Hsiu Liu
Journal:  Polymers (Basel)       Date:  2022-03-08       Impact factor: 4.329

  7 in total

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