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10-Year Coronary Heart Disease Risk Prediction Using Coronary Artery Calcium and Traditional Risk Factors: Derivation in the MESA (Multi-Ethnic Study of Atherosclerosis) With Validation in the HNR (Heinz Nixdorf Recall) Study and the DHS (Dallas Heart Study) Restenosis, Stent Thrombosis, and Bleeding Complications - Navigating Between Scylla and Charybdis Translational Perspective on Epigenetics in Cardiovascular Disease Impact of Oxidative Stress on the Heart and Vasculature: Part 2 of a 3-Part Series Spontaneous Coronary Artery Dissection: JACC State-of-the-Art Review Coronary Artery Calcium Progression Is Associated With Coronary Plaque Volume Progression - Results From a Quantitative Semiautomated Coronary Artery Plaque Analysis Impact of Abnormal Coronary Reactivity on Long-Term Clinical Outcomes in Women New AHA/ACC/HRS Guidance on Sudden Cardiac Death Prevention Patient Characteristics Associated With Antianginal Medication Escalation and De-Escalation Following Chronic Total Occlusion Percutaneous Coronary Intervention: Insights From the OPEN CTO Registry 2017 AHA/ACC Clinical Performance and Quality Measures for Adults With ST-Elevation and Non–ST-Elevation Myocardial Infarction: A Report of the American College of Cardiology/American Heart Association Task Force on Performance Measures

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.