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Noninvasive Nuclear SPECT Myocardial Blood Flow Quantitation to Guide Management for Coronary Artery Disease Six-month versus 12-month dual antiplatelet therapy after implantation of drug-eluting stents: the Efficacy of Xience/Promus Versus Cypher to Reduce Late Loss After Stenting (EXCELLENT) randomized, multicenter study Haemodynamic-guided management of heart failure (GUIDE-HF): a randomised controlled trial Aortic Valve Stenosis Treatment Disparities in the Underserved JACC Council Perspectives Meta-Analysis of Effectiveness and Safety of Transcatheter Aortic Valve Implantation Versus Surgical Aortic Valve Replacement in Low-to-Intermediate Surgical Risk Cohort Impact of Intravascular Ultrasound-Guided Drug-Eluting Stent Implantation on Patients With Chronic Kidney Disease: Subgroup Analysis From ULTIMATE Trial Clopidogrel or ticagrelor in acute coronary syndrome patients treated with newer-generation drug-eluting stents: CHANGE DAPT Transcatheter versus Surgical Aortic Valve Replacement in Patients with Prior Cardiac Surgery in the Randomized PARTNER 2A Trial Optimal duration of dual antiplatelet therapy after drug-eluting stent implantation: a randomized, controlled trial. Relationship Between Hospital Surgical Aortic Valve Replacement Volume and Transcatheter Aortic Valve Replacement Outcomes

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.