Geometrical accuracy evaluation of an affordable 3D printing technology for spine physical models. (February 2020)

• Record Type: Journal Article
• Authors: Eltes, Peter Endre; Kiss, Laszlo; Bartos, Marton; Gyorgy, Zoltan Magor; Csakany, Tibor; Bereczki, Ferenc; Lesko, Vivien; Puhl, Maria; Varga, Peter Pal; Lazary, Aron
• Is Part Of: Journal of clinical neuroscience. Volume 72(2020)
• Page Start: 438
• Page End: 446
• Publication Date: 2020-02
• Subjects: 3D printing -- 3D printed spine model -- Spine surgery -- Patient specific; Brain -- Surgery -- Periodicals; Neurosciences -- Periodicals; Nervous system -- Surgery -- Periodicals; Brain -- surgery -- Periodicals; Neurosurgical Procedures -- Periodicals; Neurosciences -- Periodicals; Electronic journals; 616.8
• DOI: 10.1016/j.jocn.2019.12.027
• Languages: English
• ISSNs: 0967-5868

Abstract

Highlights: Spine physical models are useful tools in pre operative planning. Models printed with FDM technology are affordable and geometrically accurate. The FDM model internal grid structure allows mechanical interventions. The workflow can be used to evaluate other 3D printing technologies. The workflow is helpful for other spine centers. Abstract: Objective: The aim of the study is to develop a workflow to establish geometrical quality criteria for 3D printed anatomical models as a guidance for selecting the most suitable 3D printing technologies available in a clinical environment. Methods: We defined the 3D geometry of a 25-year-old male patient's L4 vertebra and the geometry was then printed using two technologies, which differ in printing resolution and affordability: Fused Deposition Modelling (FDM) and Digital Light Processing (DLP). In order to measure geometrical accuracy, the 3D scans of two physical models were compared to the virtual input model. To compare surface qualities of these printing technologies we determined surface roughness for two regions of interest. Finally, we present our experience in the clinical application of a physical model in a congenital deformity case. Results: The analysis of the distribution of the modified Hausdorff distance values along the vertebral surface meshes (99% of values <1 mm) of the 3D printed models provides evidence for high printing accuracy in both printing techniques. Our results demonstrate that the surface qualities, measured by roughness are adequate (~99% of values <0.1 mm) for both physical models. Finally, we implemented the FDM physical model for surgical planning. Conclusion: We present a workflow capable of determining the quality of 3D printed models and the application of a high quality and affordable 3D printed spine physical model in the pre operative planning. As a result of the visual guidance provided by the physical model, we were able to define the optimal trajectory of the screw insertion during surgery.