Design and Physical Properties of 3-Dimensional Printed Models Used for Neurointervention: A Systematic Review of the Literature.

Abstract

BACKGROUND:

Three-dimensional (3D) printing has revolutionized training, education, and device testing. Understanding the design and physical properties of 3D-printed models is important.

OBJECTIVE:

To systematically review the design, physical properties, accuracy, and experimental outcomes of 3D-printed vascular models used in neurointervention.

METHODS:

We conducted a systematic review of the literature between January 1, 2000 and September 30, 2018. Public/Publisher MEDLINE (PubMed), Web of Science, Compendex, Cochrane, and Inspec databases were searched using Medical Subject Heading terms for design and physical attributes of 3D-printed models for neurointervention. Information on design and physical properties like compliance, lubricity, flow system, accuracy, and outcome measures were collected.

RESULTS:

A total of 23 articles were included. Nine studies described 3D-printed models for stroke intervention. Tango Plus (Stratasys) was the most common material used to develop these models. Four studies described a population-representative geometry model. All other studies reported patient-specific vascular geometry. Eight studies reported complete reconstruction of the circle of Willis, anterior, and posterior circulation. Four studies reported a model with extracranial vasculature. One prototype study reported compliance and lubricity. Reported circulation systems included manual flushing, programmable pistons, peristaltic, and pulsatile pumps. Outcomes included thrombolysis in cerebral infarction, post-thrombectomy flow restoration, surgical performance, and qualitative feedback.

CONCLUSION:

Variations exist in the material, design, and extent of reconstruction of vasculature of 3D-printed models. There is a need for objective characterization of 3D-printed vascular models. We propose the development of population representative 3D-printed models for skill improvement or device testing.

• Authors: Muhammad Waqas, Maxim Mokin, Jaims Lim, Kunal Vakharia, Michael E Springer, Karen M Meess, Richard W Ducharme, Ciprian N Ionita, Swetadri Vasan Setlur Nagesh, Liza C Gutierrez, Kenneth V Snyder, Jason M Davies, Elad I Levy, Adnan H Siddiqui
• Journal: Neurosurgery (Neurosurgery) Vol. 87 Issue 4 Pg. E445-E453 (09 15 2020) ISSN: 1524-4040 [Electronic] United States
• PMID: 32392300 (Publication Type: Journal Article, Systematic Review)
• Copyright: Copyright © 2020 by the Congress of Neurological Surgeons.

Topics

• Humans
• Models, Anatomic
• Neurosurgical Procedures (methods, trends)
• Printing, Three-Dimensional (trends)
• Prostheses and Implants (trends)
• Prosthesis Design (methods, trends)