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TAVI Represents an Anti-Inflammatory Therapy via Reduction of Shear Stress Induced, Piezo-1-Mediated Monocyte Activation Treatment Effects of Pulmonary Artery Denervation for Pulmonary Arterial Hypertension Stratified by REVEAL Risk Score: Results from PADN-CFDA Trial Hemodynamic, Functional, and Clinical Responses to Pulmonary Artery Denervation in Patients With Pulmonary Arterial Hypertension of Different Causes 3-Year Outcomes After 2-Stent With Provisional Stenting for Complex Bifurcation Lesions Defined by DEFINITION Criteria Clinical Impact of Residual Leaks Following Left Atrial Appendage Occlusion: Insights From the NCDR LAAO Registry Half-Dose Direct Oral Anticoagulation Versus Standard Antithrombotic Therapy After Left Atrial Appendage Occlusion Haemodynamic definitions and updated clinical classification of pulmonary hypertension A Score to Assess Mortality After Percutaneous Mitral Valve Repair Defining cardiovascular toxicities of cancer therapies: an International Cardio-Oncology Society (IC-OS) consensus statement Propensity-Matched 1-Year Outcomes Following Transcatheter Aortic Valve Replacement in Low-Risk Bicuspid and Tricuspid Patients

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.