2018
DOI: 10.1002/jmrs.268
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Three‐dimensional printing in congenital heart disease: A systematic review

Abstract: Three‐dimensional (3D) printing has shown great promise in medicine with increasing reports in congenital heart disease (CHD). This systematic review aims to analyse the main clinical applications and accuracy of 3D printing in CHD, as well as to provide an overview of the software tools, time and costs associated with the generation of 3D printed heart models. A search of different databases was conducted to identify studies investigating the application of 3D printing in CHD. Studies based on patient's medic… Show more

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Cited by 115 publications
(125 citation statements)
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References 53 publications
(286 reference statements)
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“…A systematic review of 48 studies has summarised the findings of using 3D printed models in cardiovascular and cerebrovascular diseases, with high accuracy of 3D printing in reproducing complex cardiac anatomy and pathologies, and usefulness in both education and surgical planning (8). Another recent systematic review of 28 studies focuses on the 3D printing in congenital heart disease (10). Through analysis of case reports and original studies the review further confirms the clinical value of patient-specific 3D printed heart models in preoperative planning and simulation of congenital heart disease treatment and improving medical education and doctor-patient communication.…”
Section: Discussionmentioning
confidence: 99%
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“…A systematic review of 48 studies has summarised the findings of using 3D printed models in cardiovascular and cerebrovascular diseases, with high accuracy of 3D printing in reproducing complex cardiac anatomy and pathologies, and usefulness in both education and surgical planning (8). Another recent systematic review of 28 studies focuses on the 3D printing in congenital heart disease (10). Through analysis of case reports and original studies the review further confirms the clinical value of patient-specific 3D printed heart models in preoperative planning and simulation of congenital heart disease treatment and improving medical education and doctor-patient communication.…”
Section: Discussionmentioning
confidence: 99%
“…Image postprocessing and segmentation of medical imaging data could be time-consuming, especially when dealing with 3D printed heart or liver models due to complex structures in these regions. Further, a number of editing processes are applied to ensure successful 3D printing outcomes (10). For 3D printed heart and liver models, the time spent on image processing and segmentation could be up to 12 and 15 hours respectively, according to the systematic review and other reports (9,10).…”
Section: Discussionmentioning
confidence: 99%
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