CBS 2019
CBSMD教育中心
中 文

推荐文献

Abstract

Recommended Article

Management of two major complications in the cardiac catheterisation laboratory: the no-reflow phenomenon and coronary perforations Qualitative Methodology in Cardiovascular Outcomes Research: A Contemporary Look Advances in Coronary No-Reflow Phenomenon-a Contemporary Review Long-Term Effect of Ultrathin-Strut Versus Thin-Strut Drug-Eluting Stents in Patients With Small Vessel Coronary Artery Disease Undergoing Percutaneous Coronary Intervention: A Subgroup Analysis of the BIOSCIENCE Randomized Trial 2013 ACC/AHA Guideline on the Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Risk in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines Current Perspectives on Coronavirus Disease 2019 and Cardiovascular Disease: A White Paper by the JAHA Editors PCI and CABG for Treating Stable Coronary Artery Disease Coronary flow velocity reserve predicts adverse prognosis in women with angina and noobstructive coronary artery disease: resultsfrom the iPOWER study
|<<... 19 20 21 22 23 24 25 ...>>|

Review ArticleVolume 12, Issue 6, June 2019

JOURNAL：JACC: Cardiovascular Imaging Article Link

The Future of Cardiovascular Computed Tomography Advanced Analytics and Clinical Insights

ED Nicol, BL Norgaard, P Blanke et al. Keywords: atherosclerosis; cardiac CT; FFRCT; machine learning; radiomics; TMVR

ABSTRACT

Cardiovascular computed tomography (CCT) has undergone rapid maturation over the last decade and is now of proven clinical utility in the diagnosis and management of coronary artery disease, in guiding structural heart disease intervention, and in the diagnosis and treatment of congenital heart disease. The next decade will undoubtedly witness further advances in hardware and advanced analytics that will potentially see an increasingly core role for CCT at the center of clinical cardiovascular practice. In coronary artery disease assessment this may be via improved hemodynamic adjudication, and shear stress analysis using computational flow dynamics, more accurate and robust plaque characterization with spectral or photon-counting CT, or advanced quantification of CT data via artificial intelligence, machine learning, and radiomics. In structural heart disease, CCT is already pivotal to procedural planning with adjudication of gradients before and following intervention, whereas in congenital heart disease CCT is already used to support clinical decision making from neonates to adults, often with minimal radiation dose. In both these areas the role of computational flow dynamics, advanced tissue printing, and image modelling has the potential to revolutionize the way these complex conditions are managed, and CCT is likely to become an increasingly critical enabler across the whole advancing field of cardiovascular medicine.

>CBS CBS 2019

> CBS 2019 REGISTRATION

> CBS 2019 PROGRAM

> CBS 2019 CALL FOR SCIENCE

> CBS 2019 SPOTLIGHTS

 CBSMD

> CBSMD WEBSITE REGISTRATION

> EDUCATION CENTER

> RECOMMANDED PAPER

> TOP 10 RESEARCH PAPER

> PRE-READING

CBS 2019 CBS 2019 FACULTY Education Resource CBSMD Scientific Library
Copyright ⓒ CBS MD Nanjing China. All rights reserved. 京ICP备16025898号-11
联系我们| Top