CBS 2019
CBSMD教育中心
English

科学研究

科研文章

荐读文献

Exercise Intolerance in Patients With Heart Failure: JACC State-of-the-Art Review Intravascular ultrasound guidance improves clinical outcomes during implantation of both first- and second-generation drug-eluting stents: a meta-analysis Accuracy of Fractional Flow Reserve Derived From Coronary Angiography A Combined Optical Coherence Tomography and Intravascular Ultrasound Study on Plaque Rupture, Plaque Erosion, and Calcified Nodule in Patients With ST-Segment Elevation Myocardial Infarction: Incidence, Morphologic Characteristics, and Outcomes After Percutaneous Coronary Intervention Short-Term Progression of Multiterritorial Subclinical Atherosclerosis A Randomized Controlled Trial to Evaluate the Safety and Efficacy of Cardiac Contractility Modulation Is intravascular ultrasound beneficial for percutaneous coronary intervention of bifurcation lesions? Evidence from a 4,314-patient registry Intravascular Ultrasound Assessment of In-Stent Restenosis in Saphenous Vein Grafts Lifestyle Modifications for Preventing and Treating Heart Failure Transcatheter Mitral Valve Replacement in Patients with Heart Failure and Secondary Mitral Regurgitation: From COAPT 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.