Key result
Personalized 3D printed heart models reframe surgical plans in up to ~48% of complex CHD cases.
Why the study?
Congenital heart disease involves complex cardiac anomalies that vary between individuals, making comprehensive spatial conceptualization of cardiac structures difficult with current imaging visualizations. Patient-specific 3D printed models have been increasingly used to overcome this limitation, prompting an overview of their clinical applications, current limitations, and future directions.
Answers are grounded in this paper and cite their sources.
May support preoperative planning in complex congenital heart disease; leaves open the need for prospective trials on clinical outcomes.
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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Sun et al. (2019) conducted a review in Congenital heart disease. Patient-specific three-dimensional (3D) printed heart models vs. Standard 2D/3D imaging visualizations (CT, MRI, echocardiography) or standard care was evaluated. Personalized 3D printed heart models replicate congenital heart disease anatomy within 1 mm of source imaging and redefine surgical approaches in up to 47.5% of complex cases.
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