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Clinical Impact of Valvular Heart Disease in Elderly Patients Admitted for Acute Coronary Syndrome: Insights From the Elderly-ACS 2 Study Diagnostic performance of noninvasive myocardial perfusion imaging using single-photon emission computed tomography, cardiac magnetic resonance, and positron emission tomography imaging for the detection of obstructive coronary artery disease: a meta-analysis Longitudinal Assessment of Vascular Function With Sunitinib in Patients With Metastatic Renal Cell Carcinoma Minimalist transcatheter aortic valve replacement: The new standard for surgeons and cardiologists using transfemoral access? Impaired Retinal Microvascular Function Predicts Long-Term Adverse Events in Patients with Cardiovascular Disease Predictors and Clinical Outcomes of Next-Day Discharge After Minimalist Transfemoral Transcatheter Aortic Valve Replacement CT Angiographic and Plaque Predictors of Functionally Significant Coronary Disease and Outcome Using Machine Learning Coronary calcification in the diagnosis of coronary artery disease From Detecting the Vulnerable Plaque to Managing the Vulnerable Patient Prior Balloon Valvuloplasty Versus Direct Transcatheter Aortic Valve Replacement: Results From the DIRECTAVI Trial

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.