Chen Joshua Ray, Morris Jonathan, Wentworth Adam, Sears Victoria, Duit Andrew, Erie Eric, McGee Kiaran, Leng Shuai
Mayo Clinic, Department of Radiology, Rochester, Minnesota, United States.
J Med Imaging (Bellingham). 2023 Mar;10(2):026501. doi: 10.1117/1.JMI.10.2.026501. Epub 2023 Apr 3.
Three-dimensional (3D) printing has had a significant impact on patient care. However, there is a lack of standardization in quality assurance (QA) to ensure printing accuracy and precision given multiple printing technologies, variability across vendors, and inter-printer reliability issues. We investigated printing accuracy on a diverse selection of 3D printers commonly used in the medical field.
A specially designed 3D printing QA phantom was periodically printed on 16 printers used in our practice, covering five distinct printing technologies and eight different vendors. Longitudinal data were acquired over six months by printing the QA phantom monthly on each printer. Qualitative assessment and quantitative measurements were obtained for each printed phantom. Accuracy and precision were assessed by comparing quantitative measurements with reference values of the phantom. Data were then compared among printer models, vendors, and printing technologies; longitudinal trends were also analyzed.
Differences in 3D printing accuracy across printers were observed. Material jetting and vat photopolymerization printers were found to be the most accurate. Printers using the same 3D printing technology but from different vendors also showed differences in accuracy, most notably between vat photopolymerization printers from two different vendors. Furthermore, differences in accuracy were found between printers from the same vendor using the same printing technology, but different models/generations.
These results show how factors such as printing technology, vendor, and printer model can impact 3D printing accuracy, which should be appropriately considered in practice to avoid potential medical or surgical errors.
三维(3D)打印对患者护理产生了重大影响。然而,鉴于多种打印技术、供应商之间的差异以及打印机之间的可靠性问题,在质量保证(QA)方面缺乏标准化以确保打印的准确性和精确性。我们研究了医疗领域常用的多种3D打印机的打印精度。
在我们的实践中,定期在16台打印机上打印一个专门设计的3D打印质量保证模型,这些打印机涵盖五种不同的打印技术和八个不同的供应商。通过每月在每台打印机上打印质量保证模型,在六个月内获取纵向数据。对每个打印模型进行定性评估和定量测量。通过将定量测量结果与模型的参考值进行比较来评估准确性和精确性。然后在打印机型号、供应商和打印技术之间比较数据;还分析了纵向趋势。
观察到不同打印机在3D打印精度上存在差异。发现材料喷射和光聚合反应釜打印机最为精确。使用相同3D打印技术但来自不同供应商的打印机在精度上也存在差异,最明显的是来自两个不同供应商的光聚合反应釜打印机之间。此外,来自同一供应商使用相同打印技术但不同型号/代次的打印机在精度上也存在差异。
这些结果表明打印技术、供应商和打印机型号等因素如何影响3D打印精度,在实践中应适当考虑这些因素以避免潜在的医疗或手术错误。