How accurate is atherosclerosis imaging by coronary computed tomography angiography?


Journal

Journal of cardiovascular computed tomography
ISSN: 1876-861X
Titre abrégé: J Cardiovasc Comput Tomogr
Pays: United States
ID NLM: 101308347

Informations de publication

Date de publication:
Historique:
received: 18 02 2019
revised: 11 05 2019
accepted: 10 06 2019
pubmed: 16 7 2019
medline: 11 2 2020
entrez: 15 7 2019
Statut: ppublish

Résumé

Invasive coronary plaque imaging such as intravascular ultrasound and optical coherence tomography has been widely used to observe culprit or non-culprit coronary atherosclerosis, as well as optimize stent sizing, apposition and deployment. Coronary computed tomographic angiography (CTA) is non-invasively available to assess coronary artery disease (CAD) and has become an appropriate strategy to evaluate patients with suspected CAD. Given recent technologies, semi-automated plaque software is available to identify coronary plaque stenosis, volume and characteristics and potentially allows to be used for the assessment of more details of plaque information, progression and future risk as a surrogate tool of the invasive imaging modalities. This review article aims to focus on various evidence in coronary plaque imaging by coronary CTA and describes how accurate coronary CTA can classify coronary atherosclerosis.

Identifiants

pubmed: 31302029
pii: S1934-5925(19)30093-0
doi: 10.1016/j.jcct.2019.06.005
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

254-260

Informations de copyright

Copyright © 2019 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.

Auteurs

Rine Nakanishi (R)

Department of Cardiovascular Medicine, Toho University Graduate School of Medicine, Tokyo, Japan. Electronic address: rine.n@med.toho-u.ac.jp.

Sadako Motoyama (S)

Department of Cardiology, Fujita Health University, Aichi, Japan.

Jonathon Leipsic (J)

St. Paul's Hospital, University of British Columbia, Vancouver, British Columbia, Canada.

Matthew J Budoff (MJ)

Los Angeles BioMedical Research Institute at Harbor UCLA Medical Center, Torrance, CA, USA.

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Classifications MeSH