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Properties and Characteristics of Three-Dimensional Printed Head Models Used in Simulation of Neurosurgical Procedures: A Scoping Review.
Maclachlan, Liam R; Alexander, Hamish; Forrestal, David; Novak, James I; Redmond, Michael.
  • 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, Au
  • 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, Aus
  • Forrestal D; Herston Biofabrication Institute, Metro North Hospital and Health Service, Brisbane, Queensland, Australia.
  • Novak JI; School of Architecture, The University of Queensland, Brisbane, Queensland, Australia; Herston Biofabrication Institute, Metro North Hospital and Health Service, Brisbane, Queensland, Australia.
  • 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, Aus
World Neurosurg ; 156: 133-146.e6, 2021 12.
Article in English | MEDLINE | ID: covidwho-1527881
ABSTRACT

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Neurosurgical Procedures / Printing, Three-Dimensional / Head / Models, Anatomic Type of study: Experimental Studies / Prognostic study / Reviews Limits: Humans Language: English Journal: World Neurosurg Journal subject: Neurosurgery Year: 2021 Document Type: Article Affiliation country: J.wneu.2021.09.079

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Neurosurgical Procedures / Printing, Three-Dimensional / Head / Models, Anatomic Type of study: Experimental Studies / Prognostic study / Reviews Limits: Humans Language: English Journal: World Neurosurg Journal subject: Neurosurgery Year: 2021 Document Type: Article Affiliation country: J.wneu.2021.09.079