Abstract
AbstractThree-dimensional (3D) printing has gained popularity across various domains but remains less integrated into medical surgery due to its complexity. Existing literature primarily discusses specific applications, with limited detailed guidance on the entire process. The methodological details of converting Computed Tomography (CT) images into 3D models are often found in amateur 3D printing forums rather than scientific literature. To address this gap, we present a comprehensive methodology for converting CT images of bone fractures into 3D-printed models. This involves transferring files in Digital Imaging and Communications in Medicine (DICOM) format to stereolithography format, processing the 3D model, and preparing it for printing. Our methodology outlines step-by-step guidelines, time estimates, and software recommendations, prioritizing free open-source tools. We also share our practical experience and outcomes, including the successful creation of 72 models for surgical planning, patient education, and teaching. Although there are challenges associated with utilizing 3D printing in surgery, such as the requirement for specialized expertise and equipment, the advantages in surgical planning, patient education, and improved outcomes are evident. Further studies are warranted to refine and standardize these methodologies for broader adoption in medical practice.
Funder
Czech Technical University in Prague
Publisher
Springer Science and Business Media LLC
Reference16 articles.
1. Beaman JJ, Barlow JW, Bourell DL, Crawford RH, Marcus HL, McAlea KP (1997) Solid Freeform Fabrication: A New Direction in Manufacturing. Springer US, Boston, MA
2. Kodama H (1981) Automatic method for fabricating a three-dimensional plastic model with photo-hardening polymer. Rev Sci Instrum 52:1770–1773. https://doi.org/10.1063/1.1136492
3. Wohlers T, Gornet T, Mostow N, Campbell I, Diegel O, Kowen J, Huff R, Stucker B, Fidan I, Doukas A (2016) History of additive manufacturing. Wohlers Assoc Inc
4. Klein A, Warszawski J, Hillengaß J, Maier-Hein KH (2019) Automatic bone segmentation in whole-body CT images. Int J Comput Assist Radiol Surg 14:21–29. https://doi.org/10.1007/s11548-018-1883-7
5. Li C, Cheung TF, Fan VC, Sin KM, Wong CWY, Leung GKK (2017) Applications of Three-Dimensional Printing in Surgery. Surg Innov 24:82–88. https://doi.org/10.1177/1553350616681889