Personalized Three-Dimensional Printed Models in Congenital Heart Disease

Patient-specific three-dimensional (3D) printed models have been increasingly used in cardiology and cardiac surgery, in particular, showing great value in the domain of congenital heart disease (CHD). CHD is characterized by complex cardiac anomalies with disease variations between individuals; thu...

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Main Authors: Sun, Zhonghua, Lau, I., Wong, Y., Yeong, C.
Format: Journal Article
Published: MDPI AG 2019
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/75337
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author Sun, Zhonghua
Lau, I.
Wong, Y.
Yeong, C.
author_facet Sun, Zhonghua
Lau, I.
Wong, Y.
Yeong, C.
author_sort Sun, Zhonghua
building Curtin Institutional Repository
collection Online Access
description Patient-specific three-dimensional (3D) printed models have been increasingly used in cardiology and cardiac surgery, in particular, showing great value in the domain of congenital heart disease (CHD). CHD is characterized by complex cardiac anomalies with disease variations between individuals; thus, it is difficult to obtain comprehensive spatial conceptualization of the cardiac structures based on the current imaging visualizations. 3D printed models derived from patient’s cardiac imaging data overcome this limitation by creating personalized 3D heart models, which not only improve spatial visualization, but also assist preoperative planning and simulation of cardiac procedures, serve as a useful tool in medical education and training, and improve doctor–patient communication. This review article provides an overall view of the clinical applications and usefulness of 3D printed models in CHD. Current limitations and future research directions of 3D printed heart models are highlighted.
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institution Curtin University Malaysia
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publishDate 2019
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spelling curtin-20.500.11937-753372019-04-29T08:06:21Z Personalized Three-Dimensional Printed Models in Congenital Heart Disease Sun, Zhonghua Lau, I. Wong, Y. Yeong, C. three-dimensional printing; congenital heart disease; medical education; heart models; pre-operative planning; simulation Patient-specific three-dimensional (3D) printed models have been increasingly used in cardiology and cardiac surgery, in particular, showing great value in the domain of congenital heart disease (CHD). CHD is characterized by complex cardiac anomalies with disease variations between individuals; thus, it is difficult to obtain comprehensive spatial conceptualization of the cardiac structures based on the current imaging visualizations. 3D printed models derived from patient’s cardiac imaging data overcome this limitation by creating personalized 3D heart models, which not only improve spatial visualization, but also assist preoperative planning and simulation of cardiac procedures, serve as a useful tool in medical education and training, and improve doctor–patient communication. This review article provides an overall view of the clinical applications and usefulness of 3D printed models in CHD. Current limitations and future research directions of 3D printed heart models are highlighted. 2019 Journal Article http://hdl.handle.net/20.500.11937/75337 http://creativecommons.org/licenses/by/4.0/ MDPI AG fulltext
spellingShingle three-dimensional printing; congenital heart disease; medical education; heart models; pre-operative planning; simulation
Sun, Zhonghua
Lau, I.
Wong, Y.
Yeong, C.
Personalized Three-Dimensional Printed Models in Congenital Heart Disease
title Personalized Three-Dimensional Printed Models in Congenital Heart Disease
title_full Personalized Three-Dimensional Printed Models in Congenital Heart Disease
title_fullStr Personalized Three-Dimensional Printed Models in Congenital Heart Disease
title_full_unstemmed Personalized Three-Dimensional Printed Models in Congenital Heart Disease
title_short Personalized Three-Dimensional Printed Models in Congenital Heart Disease
title_sort personalized three-dimensional printed models in congenital heart disease
topic three-dimensional printing; congenital heart disease; medical education; heart models; pre-operative planning; simulation
url http://hdl.handle.net/20.500.11937/75337