Properties and Characteristics of Three-Dimensional Printed Head Models Used in Simulation of Neurosurgical Procedures: A Scoping Review.


Journal

World neurosurgery
ISSN: 1878-8769
Titre abrégé: World Neurosurg
Pays: United States
ID NLM: 101528275

Informations de publication

Date de publication:
12 2021
Historique:
received: 20 06 2021
revised: 15 09 2021
accepted: 16 09 2021
pubmed: 28 9 2021
medline: 12 1 2022
entrez: 27 9 2021
Statut: ppublish

Résumé

Intracranial surgery can be complex and high risk. Safety, ethical and financial factors make training in the area challenging. Head model 3-dimensional (3D) printing is a realistic training alternative to patient and traditional means of cadaver and animal model simulation. To describe important factors relating to the 3D printing of human head models and how such models perform as simulators. Searches were performed in PubMed, the Cochrane Library, Scopus, and Web of Science. Articles were screened independently by 3 reviewers using Covidence software. Data items were collected under 5 categories: study information; printers and processes; head model specifics; simulation and evaluations; and costs and production times. Forty articles published over the last 10 years were included in the review. A range of printers, printing methods, and substrates were used to create head models and tissue types. Complexity of the models ranged from sections of single tissue type (e.g., bone) to high-fidelity integration of multiple tissue types. Some models incorporated disease (e.g., tumors and aneurysms) and artificial physiology (e.g., pulsatile circulation). Aneurysm clipping, bone drilling, craniotomy, endonasal surgery, and tumor resection were the most commonly practiced procedures. Evaluations completed by those using the models were generally favorable. The findings of this review indicate that those who practice surgery and surgical techniques on 3D-printed head models deem them to be valuable assets in cranial surgery training. Understanding how surgical simulation on such models affects surgical performance and patient outcomes, and considering cost-effectiveness, are important future research endeavors.

Sections du résumé

BACKGROUND
Intracranial surgery can be complex and high risk. Safety, ethical and financial factors make training in the area challenging. Head model 3-dimensional (3D) printing is a realistic training alternative to patient and traditional means of cadaver and animal model simulation.
OBJECTIVE
To describe important factors relating to the 3D printing of human head models and how such models perform as simulators.
METHODS
Searches were performed in PubMed, the Cochrane Library, Scopus, and Web of Science. Articles were screened independently by 3 reviewers using Covidence software. Data items were collected under 5 categories: study information; printers and processes; head model specifics; simulation and evaluations; and costs and production times.
RESULTS
Forty articles published over the last 10 years were included in the review. A range of printers, printing methods, and substrates were used to create head models and tissue types. Complexity of the models ranged from sections of single tissue type (e.g., bone) to high-fidelity integration of multiple tissue types. Some models incorporated disease (e.g., tumors and aneurysms) and artificial physiology (e.g., pulsatile circulation). Aneurysm clipping, bone drilling, craniotomy, endonasal surgery, and tumor resection were the most commonly practiced procedures. Evaluations completed by those using the models were generally favorable.
CONCLUSIONS
The findings of this review indicate that those who practice surgery and surgical techniques on 3D-printed head models deem them to be valuable assets in cranial surgery training. Understanding how surgical simulation on such models affects surgical performance and patient outcomes, and considering cost-effectiveness, are important future research endeavors.

Identifiants

pubmed: 34571242
pii: S1878-8750(21)01422-4
doi: 10.1016/j.wneu.2021.09.079
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

133-146.e6

Informations de copyright

Crown Copyright © 2021. Published by Elsevier Inc. All rights reserved.

Auteurs

Liam R Maclachlan (LR)

Kenneth G Jamieson Department of Neurosurgery, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia; School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Queensland, Australia; School of Medicine, The University of Queensland, Brisbane, Queensland, Australia. Electronic address: liam.maclachlan@health.qld.gov.au.

Hamish Alexander (H)

Kenneth G Jamieson Department of Neurosurgery, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia; School of Medicine, The University of Queensland, Brisbane, Queensland, Australia; Herston Biofabrication Institute, Metro North Hospital and Health Service, Brisbane, Queensland, Australia.

David Forrestal (D)

Herston Biofabrication Institute, Metro North Hospital and Health Service, Brisbane, Queensland, Australia.

James I Novak (JI)

School of Architecture, The University of Queensland, Brisbane, Queensland, Australia; Herston Biofabrication Institute, Metro North Hospital and Health Service, Brisbane, Queensland, Australia.

Michael Redmond (M)

Kenneth G Jamieson Department of Neurosurgery, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia; School of Medicine, The University of Queensland, Brisbane, Queensland, Australia; Herston Biofabrication Institute, Metro North Hospital and Health Service, Brisbane, Queensland, Australia.

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Classifications MeSH