2022
DOI: 10.3390/mi13101575
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3D Printed Models in Cardiovascular Disease: An Exciting Future to Deliver Personalized Medicine

Abstract: 3D printing has shown great promise in medical applications with increased reports in the literature. Patient-specific 3D printed heart and vascular models replicate normal anatomy and pathology with high accuracy and demonstrate superior advantages over the standard image visualizations for improving understanding of complex cardiovascular structures, providing guidance for surgical planning and simulation of interventional procedures, as well as enhancing doctor-to-patient communication. 3D printed models ca… Show more

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Cited by 24 publications
(17 citation statements)
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“…Recent studies have shown the value of using Agilus A30 to print an aortic dissection model for the investigation of optimal CT angiography protocols [ 29 , 30 ]. Current literature shows a wide range of materials (from plastic to polylactic acid and thermoplastic polyurethane to rigid materials such as resin) and printers being used for 3D-printing CHD models, as indicated by a recent review article [ 31 ]. These 3D-printed CHD models are acceptable for education purposes due to their high accuracy in replicating both normal anatomy and pathology (the mean dimensional difference between 3D-printed models and original source images is <0.5 mm) [ 2 , 12 , 14 , 32 , 33 , 34 ].…”
Section: Discussionmentioning
confidence: 99%
“…Recent studies have shown the value of using Agilus A30 to print an aortic dissection model for the investigation of optimal CT angiography protocols [ 29 , 30 ]. Current literature shows a wide range of materials (from plastic to polylactic acid and thermoplastic polyurethane to rigid materials such as resin) and printers being used for 3D-printing CHD models, as indicated by a recent review article [ 31 ]. These 3D-printed CHD models are acceptable for education purposes due to their high accuracy in replicating both normal anatomy and pathology (the mean dimensional difference between 3D-printed models and original source images is <0.5 mm) [ 2 , 12 , 14 , 32 , 33 , 34 ].…”
Section: Discussionmentioning
confidence: 99%
“…It is a standard process to perform image post-processing and the segmentation of CT, MRI and sometimes ultrasound data in a digital imaging and communications in medicine (DICOM) format, using either commercially available software or open source tools to segment the volume data. Mimics (Materialise, Leuven, Belgium), MeVislab (Mevismedical Solutions, Bremen, Germany) and Analyze 12.0/14.0 (AnalyzeDirect, Inc., Lexana, KS, USA) are commonly used commercial software packages for image post-processing and segmentation, while open source tools such as 3D Slicer (Brigham and Women’s Hospital, Boston, MA, USA) and ITK-SNAP ( , accessed on 28 January 2023) are also used to create 3D-printed medical models with high accuracy [ 31 ]. Of these tools, Mimics is the most commonly used software for 3D printing, in particular in the creation of cardiovascular models, due to its extensive function of segmenting cardiac structures.…”
Section: 3d Printing Preparation: Image Post-processing and Segmentationmentioning
confidence: 99%
“…Of these tools, Mimics is the most commonly used software for 3D printing, in particular in the creation of cardiovascular models, due to its extensive function of segmenting cardiac structures. 3D Slicer, an open source tool, is also commonly used in research publications [ 31 ].…”
Section: 3d Printing Preparation: Image Post-processing and Segmentationmentioning
confidence: 99%
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“…[5][6][7] Indeed, it is found that 3D models allow surgeons to visualize anatomy three-dimensionally and aid in the planning and execution of complex surgeries. [8][9][10] 3D printing of porous structure offers an attractive means to improve the fabrication of bone models and facilitate their understanding for both academic studies and surgical planning. [11][12][13] Here we present the process of 3D-printed porous structure of a femoral bone composed of different infill densities.…”
Section: Introductionmentioning
confidence: 99%