Literature DB >> 31300302

Can an entry-level 3D printer create high-quality anatomical models? Accuracy assessment of mandibular models printed by a desktop 3D printer and a professional device.

C R Hatz1, B Msallem1, S Aghlmandi2, P Brantner3, F M Thieringer4.   

Abstract

This study was performed to determine whether an in-house printed mandible model is sufficiently accurate for daily clinical practice. Ten example mandible models were produced with a desktop 3D printer (fused filament fabrication, FFF) and compared with 10 equivalent mandible models fabricated using a professional-grade 3D printer (selective laser sintering, SLS). To determine the precision of the printed models, each model was scanned with an optical scanner. Subsequently, every model was compared to its original standard tessellation language (STL) file and to its corresponding analogue. Mean±standard deviation and median (interquartile range) differences were calculated. Overall these were -0.019±0.219mm and -0.007 (-0.129 to 0.107) mm for all 10 pairs. Furthermore, correlation of all printed models to their original STL files showed a high level of accuracy. Comparison of the SLS models with their STL files revealed a mean difference of -0.036±0.114mm and median difference of -0.028 (-0.093 to 0.030) mm. Comparison of the FFF models with their STL files yielded a mean difference of -0.055±0.227mm and median difference of -0.022 (-0.153 to 0.065) mm. The study findings confirm that in-house 3D printed mandible models are economically favourable as well as suitable substitutes for professional-grade models, in particular considering the geometric aspects.
Copyright © 2019. Published by Elsevier Ltd.

Entities:  

Keywords:  accuracy; anatomical; fused filament fabrication; mandible; medical 3D printing; modelling; selective laser sintering

Year:  2019        PMID: 31300302     DOI: 10.1016/j.ijom.2019.03.962

Source DB:  PubMed          Journal:  Int J Oral Maxillofac Surg        ISSN: 0901-5027            Impact factor:   2.789


  7 in total

1.  Medical 3D Printing Dimensional Accuracy for Multi-pathological Anatomical Models 3D Printed Using Material Extrusion.

Authors:  Prashanth Ravi; Leonid L Chepelev; Gabrielle V Stichweh; Benjamin S Jones; Frank J Rybicki
Journal:  J Digit Imaging       Date:  2022-03-02       Impact factor: 4.903

2.  Three-Dimensional Analysis of Isolated Orbital Floor Fractures Pre- and Post-Reconstruction with Standard Titanium Meshes and "Hybrid" Patient-Specific Implants.

Authors:  Guido R Sigron; Nathalie Rüedi; Frédérique Chammartin; Simon Meyer; Bilal Msallem; Christoph Kunz; Florian M Thieringer
Journal:  J Clin Med       Date:  2020-05-22       Impact factor: 4.241

3.  Effects of Steam Sterilization on 3D Printed Biocompatible Resin Materials for Surgical Guides-An Accuracy Assessment Study.

Authors:  Neha Sharma; Shuaishuai Cao; Bilal Msallem; Christoph Kunz; Philipp Brantner; Philipp Honigmann; Florian M Thieringer
Journal:  J Clin Med       Date:  2020-05-17       Impact factor: 4.241

4.  Evaluation of the Usability of a Low-Cost 3D Printer in a Tissue Engineering Approach for External Ear Reconstruction.

Authors:  Constanze Kuhlmann; Jana C Blum; Thilo L Schenck; Riccardo E Giunta; Paul Severin Wiggenhauser
Journal:  Int J Mol Sci       Date:  2021-10-28       Impact factor: 5.923

Review 5.  Accuracy of additive manufacturing in stomatology.

Authors:  Yao Tang; Yunfan Zhang; Zhaoqiang Meng; Qiannan Sun; Liying Peng; Lingyun Zhang; Wenhsuan Lu; Wei Liang; Gui Chen; Yan Wei
Journal:  Front Bioeng Biotechnol       Date:  2022-08-16

6.  Evaluation of the Dimensional Accuracy of 3D-Printed Anatomical Mandibular Models Using FFF, SLA, SLS, MJ, and BJ Printing Technology.

Authors:  Bilal Msallem; Neha Sharma; Shuaishuai Cao; Florian S Halbeisen; Hans-Florian Zeilhofer; Florian M Thieringer
Journal:  J Clin Med       Date:  2020-03-17       Impact factor: 4.241

7.  Accuracy Assessment of Molded, Patient-Specific Polymethylmethacrylate Craniofacial Implants Compared to Their 3D Printed Originals.

Authors:  Dave Chamo; Bilal Msallem; Neha Sharma; Soheila Aghlmandi; Christoph Kunz; Florian M Thieringer
Journal:  J Clin Med       Date:  2020-03-19       Impact factor: 4.241

  7 in total

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