Literature DB >> 24947723

Intravascular frequency-domain optical coherence tomography assessment of carotid artery disease in symptomatic and asymptomatic patients.

Michael R Jones1, Guilherme F Attizzani2, Curtis A Given3, William H Brooks3, Stephen J Ganocy4, Christian N Ramsey3, Yusuke Fujino4, Hiram G Bezerra4, Marco A Costa4.   

Abstract

OBJECTIVES: The goal of this study was to investigate carotid plaque characteristics in symptomatic versus asymptomatic patients with the use of nonocclusive optical coherence tomography (OCT).
BACKGROUND: The identification of asymptomatic patients with carotid disease who are at risk of stroke remains a challenge. There is an increasing awareness that plaque characteristics may best risk-stratify this population. We hypothesized that OCT, a new high-resolution (∼ 10 μm) imaging modality, might be useful for the identification of low-risk versus high-risk carotid plaque features and help us to understand the relationship between carotid diameter stenosis and plaque morphology to ischemic stroke.
METHODS: Fifty-three patients undergoing diagnostic carotid angiography were studied with OCT. Data analysis was carried out by imaging experts who were unaware of the clinical characteristics of the study population.
RESULTS: Plaque with American Heart Association type VI complicated features was more common in symptomatic than asymptomatic patients (74.1% vs. 36.4%, p = 0.02). This was largely driven by differences in the incidence of thin-cap fibroatheroma with rupture (40.7% vs. 13.6%, p = 0.056) and thrombus (67.7% vs. 36.4%, p = 0.034). Conversely, non-type VI plaques were more common in asymptomatic than symptomatic patients (63.6% vs. 25.9%, p = 0.02). No association between the degree of stenosis and plaque morphology was identified.
CONCLUSIONS: This retrospective analysis of carotid OCT data supports the hypothesis that the evaluation of carotid plaque characteristics with this high-resolution imaging technique has the potential to alter the understanding and treatment of carotid artery disease.
Copyright © 2014 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  carotid artery disease; optical coherence tomography; stroke

Mesh:

Year:  2014        PMID: 24947723     DOI: 10.1016/j.jcin.2014.01.163

Source DB:  PubMed          Journal:  JACC Cardiovasc Interv        ISSN: 1936-8798            Impact factor:   11.195


  6 in total

1.  A lotus root-like appearance in carotid stenosis on optical coherence tomography.

Authors:  Hyukwon Chang; Hyuck Jun Yoon; Jeong-Ho Hong; Chang-Hyun Kim; Sung-il Sohn; Chang-Young Lee
Journal:  BMJ Case Rep       Date:  2015-05-14

Review 2.  Optical Coherence Tomography in Cerebrovascular Disease: Open up New Horizons.

Authors:  Ran Xu; Qing Zhao; Tao Wang; Yutong Yang; Jichang Luo; Xiao Zhang; Yao Feng; Yan Ma; Adam A Dmytriw; Ge Yang; Shengpan Chen; Bin Yang; Liqun Jiao
Journal:  Transl Stroke Res       Date:  2022-04-21       Impact factor: 6.829

3.  Perspective review on applications of optics in cerebral endovascular neurosurgery.

Authors:  Christopher R Pasarikovski; Jillian Cardinell; Victor X D Yang
Journal:  J Biomed Opt       Date:  2019-03       Impact factor: 3.170

4.  Optical Coherence Tomography Evaluation of Carotid Artery Stenosis and Stenting in Patients With Previous Cervical Radiotherapy.

Authors:  Xiaohui Xu; Feihong Huang; Xuan Shi; Rui Liu; Yunfei Han; Min Li; Fang Wang; Qingwen Yang; Wusheng Zhu; Ruidong Ye; Xinfeng Liu
Journal:  Front Neurosci       Date:  2022-04-27       Impact factor: 4.677

Review 5.  Optical Coherence Tomography: Basic Concepts and Applications in Neuroscience Research.

Authors:  Mobin Ibne Mokbul
Journal:  J Med Eng       Date:  2017-10-29

6.  Identification of Symptomatic Carotid Artery Plaque: A Three-Item Scale Combined Angiography With Optical Coherence Tomography.

Authors:  Qingwen Yang; Hongquan Guo; Xuan Shi; Xiaohui Xu; Mingming Zha; Haodi Cai; Dahong Yang; Feihong Huang; Xiaohao Zhang; Qiushi Lv; Rui Liu; Xinfeng Liu
Journal:  Front Neurosci       Date:  2021-12-10       Impact factor: 4.677

  6 in total

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