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Defining High Bleeding Risk in Patients Undergoing Percutaneous Coronary Intervention: A Consensus Document From the Academic Research Consortium for High Bleeding Risk Left Ventricular Assist Devices: Synergistic Model Between Technology and Medicine Impact of Statins on Cardiovascular Outcomes Following Coronary Artery Calcium Scoring Changes in high-sensitivity troponin after drug-coated balloon angioplasty for drug-eluting stent restenosis sST2 Predicts Outcome in Chronic Heart Failure Beyond NT−proBNP and High-Sensitivity Troponin T Comparison of Heart Team vs Interventional Cardiologist Recommendations for the Treatment of Patients With Multivessel Coronary Artery Disease In-Hospital Costs and Costs of Complications of Chronic Total Occlusion Angioplasty Insights From the OPEN-CTO Registry Level of Scientific Evidence Underlying the Current American College of Cardiology/American Heart Association Clinical Practice Guidelines Improving the Design of Future PCI Trials for Stable Coronary Artery Disease: JACC State-of-the-Art Review Association of CYP2C19 Loss-of-Function Alleles with Major Adverse Cardiovascular Events of Clopidogrel in Stable Coronary Artery Disease Patients Undergoing Percutaneous Coronary Intervention: Meta-analysis

Original Research2019 Feb;7(2):132-142.

JOURNAL:JACC Heart Fail. Article Link

3D Printing and Heart Failure: The Present and the Future

Farooqi KM, Cooper C, Chelliah A et al. Keywords: 3D printing; cardiac computed tomography; cardiac magnetic resonance; heart failure

ABSTRACT


Advanced imaging modalities provide essential anatomic and spatial information in patients with complex heart disease. Two-dimensional imaging can be limited in the extent to which true 3-dimensional (3D) relationships are represented. The application of 3D printing technology has increased the creation of physical models that overcomes the limitations of a 2D screen. Many groups have reported the use of 3D printing for preprocedural planning in patients with different causes of heart failure. This paper reviews the innovative applications of this technique to provide patient-specific models to improve patient care.