A realistic phantom created from a three-dimensional (3D)-reconstructed digital patient model would enable researchers to investigate the morphological aspects of the pathological spine, thereby resolving the issue of scarce cadaveric specimens. We designed a patient-specific, human-like, reliable, and cost-effective prototype of the examined pathological spine through open-source editing software analysis, a desktop 3D printer, and alginate material. We aimed to validate that the major surgical steps and anatomy replicated the real surgery as it would be conducted in actual patients.

We cover the fundamental principles and procedures involved in 3D printing, from spine imaging to phantom manufacturing. Three representative simulation cases were included in the study. All phantoms were sequentially evaluated by surgeons for fidelity. Following each surgery, participants were given a survey that included 20 questions regarding the fidelity of the training phantom.

We validated this simulation model by analyzing neurosurgeons' performance on the phantom trainer. Based on a 20-item survey to test content validity and reliability, there was little variation among participants' ratings, and the feedback was consistently positive. The gross appearance of the phantom was analogous to the cadaveric specimen and the phantoms demonstrated an excellent ability to imitate the intraoperative condition. The plastic material expenditure ranged from 170 to 470 g, and the alginate expenditure was 450 g. The total cost of acrylonitrile butadiene styrene (ABS) varied from $5.1 to $17.6 ($0.03 per gram of ABS), whereas the total cost of alginate was $14.3. The average cost of our phantoms was approximately $25.7, and the 3D printer used in this study costs approximately $200.

The basic properties of this phantom were similar to cadaveric tissue during manipulation. We believe our phantoms have the potential to improve skills and minimize risk for patients when integrated into trainee education.

Received: 22 October 2024

Accepted: 27 March 2025

Accepted Manuscript online:
08 April 2025

Article published online:
15 May 2025

© 2025. Thieme. All rights reserved.

Georg Thieme Verlag KG
Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany