The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Measuring and Establishing the Accuracy and Reproducibility of 3D Printed Medical Models
Open accessAbstract
Despite the rapid growth of three-dimensional (3D) printing applications in medicine, the accuracy and reproducibility of 3D printed medical models have not been thoroughly investigated. Although current technologies enable 3D models to be created with accuracy within the limits of clinical imaging spatial resolutions, this is not always achieved in practice. Inaccuracies are due to errors that occur during the imaging, segmentation, postprocessing, and 3D printing steps. Radiologists’ understanding of the factors that influence 3D printed model accuracy and the metrics used to measure this accuracy is key in directing appropriate practices and establishing reference standards and validation procedures. The authors review the various factors in each step of the 3D model printing process that contribute to model inaccuracy, including the intrinsic limitations of each printing technology. In addition, common sources of model inaccuracy are illustrated. Metrics involving comparisons of model dimensions and morphology that have been developed to quantify differences between 3D models also are described and illustrated. These metrics can be used to define the accuracy of a model, as compared with the reference standard, and to measure the variability of models created by different observers or using different workflows. The accuracies reported for specific indications of 3D printing are summarized, and potential guidelines for quality assurance and workflow assessment are discussed. Online supplemental material is available for this article. ©RSNA, 2017
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Cites
Advantages and disadvantages of 3-dimensional printing in surgery: A systematic review
Martelli, N., Serrano, C., van den Brink, H., Pineau, J., Prognon, P., Borget, I., & El Batti, S. (2016) · Surgery · doi:10.1016/j.surg.2015.12.017 · Cited by 681
Medical 3D Printing for the Radiologist
Mitsouras, D., Liacouras, P., Imanzadeh, A., Giannopoulos, A. A., Cai, T., Kumamaru, K. K., George, E., Wake, N., Caterson, E. J., Pomahac, B., et al. (2015) · RadioGraphics · doi:10.1148/rg.2015140320 · Cited by 619
Self-citationMorrison, R. J., Hollister, S. J., Niedner, M. F., Mahani, M. G., Park, A. H., Mehta, D. K., Ohye, R. G., & Green, G. E. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.3010825 · Cited by 498
3D modeling, custom implants and its future perspectives in craniofacial surgery
Parthasarathy, J. (2014) · Annals of Maxillofacial Surgery · doi:10.4103/2231-0746.133065 · Cited by 377
Accuracy of medical models made by additive manufacturing (rapid manufacturing)
Salmi, M., Paloheimo, K.-S., Tuomi, J., Wolff, J., & Mäkitie, A. (2013) · Journal of Cranio-Maxillofacial Surgery · doi:10.1016/j.jcms.2012.11.041 · Cited by 330
Additively manufactured medical products – the FDA perspective
Di Prima, M., Coburn, J., Hwang, D., Kelly, J., Khairuzzaman, A., & Ricles, L. (2016) · 3D Printing in Medicine · doi:10.1186/s41205-016-0005-9 · Cited by 328
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Cited by
Polymer 3D Printing Review: Materials, Process, and Design Strategies for Medical Applications
Arefin, A. M. E., Khatri, N. R., Kulkarni, N., & Egan, P. F. (2021) · Polymers · doi:10.3390/polym13091499 · Cited by 361
Ballard, D. H., Mills, P., Duszak, R., Weisman, J. A., Rybicki, F. J., & Woodard, P. K. (2020) · Academic Radiology · doi:10.1016/j.acra.2019.08.011 · Cited by 294
Self-citationDimensional Accuracy in 3D Printed Medical Models: A Follow-Up Study on SLA and SLS Technology
Msallem, B., Vavrina, J. J., Beyer, M., Halbeisen, F. S., Lauer, G., Dragu, A., & Thieringer, F. M. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13195848 · Cited by 40
Metadata
- Authors
- George, E., Liacouras, P., Rybicki, F. J., & Mitsouras, D.
- Venue
- RadioGraphics
- Published
- 2017-09
- Volume
- 37
- Issue
- 5
- Pages
- 1424-1450
- ISSN
- 0271-5333 (ISSN-L)
- 1527-1323
- OpenAlex
- W2742750442
- Cited by
- 283
- References
- 32
- FWCI
- 8.96
- Type
- journal article
- Language
- en
- Open access
- green
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