Literature DB >> 34384554

Coronary Computed Tomographic Angiography for Complete Assessment of Coronary Artery Disease: JACC State-of-the-Art Review.

Patrick W Serruys1, Hironori Hara2, Scot Garg3, Hideyuki Kawashima4, Bjarne L Nørgaard5, Marc R Dweck6, Jeroen J Bax7, Juhani Knuuti8, Koen Nieman9, Jonathon A Leipsic10, Saima Mushtaq11, Daniele Andreini12, Yoshinobu Onuma13.   

Abstract

Coronary computed tomography angiography (CTA) has shown great technological improvements over the last 2 decades. High accuracy of CTA in detecting significant coronary stenosis has promoted CTA as a substitute for conventional invasive coronary angiography in patients with suspected coronary artery disease. In patients with coronary stenosis, CTA-derived physiological assessment is surrogate for intracoronary pressure and velocity wires, and renders possible decision-making about revascularization solely based on computed tomography. Computed tomography coronary anatomy with functionality assessment could potentially become a first line in diagnosis. Noninvasive imaging assessment of plaque burden and morphology is becoming a valuable substitute for intravascular imaging. Recently, wall shear stress and perivascular inflammation have been introduced. These assessments could support risk management for both primary and secondary cardiovascular prevention. Anatomy, functionality, and plaque composition by CTA tend to replace invasive assessment. Complete CTA assessment could provide a 1-stop-shop for diagnosis, risk management, and decision-making on treatment.
Copyright © 2021 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  coronary computed tomography angiography; coronary physiology; coronary plaque

Mesh:

Year:  2021        PMID: 34384554     DOI: 10.1016/j.jacc.2021.06.019

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  4 in total

1.  Diagnostic Accuracy of Subtraction Coronary CT Angiography in Severely Calcified Segments: Comparison Between Readers With Different Levels of Experience.

Authors:  Fang Li; Qing He; Lixue Xu; Yan Zhou; Yufei Sun; Zhenchang Wang; Yinghao Xu; Zhenghan Yang; Yi He
Journal:  Front Cardiovasc Med       Date:  2022-03-21

2.  Cardiac CT, a friend and guide in cardiovascular prevention: Fellow's Voice.

Authors:  Suvasini Lakshmanan
Journal:  Am J Prev Cardiol       Date:  2022-05-04

3.  Added Value of CCTA-Derived Features to Predict MACEs in Stable Patients Undergoing Coronary Computed Tomography.

Authors:  Valeria Pergola; Giulio Cabrelle; Giulia Mattesi; Simone Cattarin; Antonio Furlan; Carlo Maria Dellino; Saverio Continisio; Carolina Montonati; Adelaide Giorgino; Chiara Giraudo; Loira Leoni; Riccardo Bariani; Giulio Barbiero; Barbara Bauce; Donato Mele; Martina Perazzolo Marra; Giorgio De Conti; Sabino Iliceto; Raffaella Motta
Journal:  Diagnostics (Basel)       Date:  2022-06-12

4.  Machine learning-based prediction of insufficient contrast enhancement in coronary computed tomography angiography.

Authors:  H A Marquering; R N Planken; R R Lopes; T P W van den Boogert; N H J Lobe; T A Verwest; J P S Henriques
Journal:  Eur Radiol       Date:  2022-06-16       Impact factor: 7.034

  4 in total

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