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2019 ACC Expert Consensus Decision Pathway on Risk Assessment, Management, and Clinical Trajectory of Patients Hospitalized With Heart Failure: A Report of the American College of Cardiology Solution Set Oversight Committee Frequency, predictors, and prognosis of ejection fraction improvement in heart failure: an echocardiogram-based registry study Phenomapping for Novel Classification of Heart Failure With Preserved Ejection Fraction A three-vessel virtual histology intravascular ultrasound analysis of frequency and distribution of thin-cap fibroatheromas in patients with acute coronary syndrome or stable angina pectoris Stopping or continuing clopidogrel 12 months after drug-eluting stent placement: the OPTIDUAL randomized trial Myocardial bridging: contemporary understanding of pathophysiology with implications for diagnostic and therapeutic strategies The spectrum of heart failure: value of left ventricular ejection fraction and its moving trajectories DAPT, Our Genome and Clopidogrel Timing of intervention in asymptomatic patients with valvular heart disease Evaluation and Management of Right-Sided Heart Failure: A Scientific Statement From the American Heart Association

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.