CBS 2019
CBSMD教育中心
English

科学研究

科研文章

荐读文献

Clinical impact of PCSK9 inhibitor on stabilization and regression of lipid-rich coronary plaques: a near-infrared spectroscopy study Considerations for Optimal Device Selection in Transcatheter Aortic Valve Replacement: A Review Primary Prevention Trial Designs Using Coronary Imaging: A National Heart, Lung, and Blood Institute Workshop Impact of post-intervention minimal stent area on 9-month follow-up patency of paclitaxel-eluting stents: an integrated intravascular ultrasound analysis from the TAXUS IV, V, and VI and TAXUS ATLAS Workhorse, Long Lesion, and Direct Stent Trials Association of Reduced Apical Untwisting With Incident HF in Asymptomatic Patients With HF Risk Factors Clinical impact of conduction disturbances in transcatheter aortic valve replacement recipients: a systematic review and meta-analysis Percutaneous Coronary Intervention for Vulnerable Coronary Atherosclerotic Plaque Why and How to Measure Aortic Valve Calcification in Patients With Aortic Stenosis Contribution of stent underexpansion to recurrence after sirolimus-eluting stent implantation for in-stent restenosis Intracoronary stenting without anticoagulation accomplished with intravascular ultrasound guidance

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.