CBS 2019
CBSMD教育中心
中 文

推荐文献

Abstract

Recommended Article

Major trials in coronary intervention from 2018 New AHA/ACC/HRS Guidance on Sudden Cardiac Death Prevention A Test in Context: E/A and E/e' to Assess Diastolic Dysfunction and LV Filling Pressure Coronary Artery Calcium Progression Is Associated With Coronary Plaque Volume Progression - Results From a Quantitative Semiautomated Coronary Artery Plaque Analysis Geometry as a Confounder When Assessing Ventricular Systolic Function: Comparison Between Ejection Fraction and Strain Hemodynamic Response to Nitroprusside in Patients With Low-Gradient Severe Aortic Stenosis and Preserved Ejection Fraction Pulmonary Artery Pressure-Guided Management of Patients With Heart Failure and Reduced Ejection Fraction Association of Coronary Anatomical Complexity With Clinical Outcomes After Percutaneous or Surgical Revascularization in the Veterans Affairs Clinical Assessment Reporting and Tracking Program
|<<... 8 9 10 11 12 13 14 ...>>|

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