Literature DB >> 23337294

The size of juxtaluminal hypoechoic area in ultrasound images of asymptomatic carotid plaques predicts the occurrence of stroke.

Stavros K Kakkos1, Maura B Griffin, Andrew N Nicolaides, Efthyvoulos Kyriacou, Michael M Sabetai, Thomas Tegos, Gregory C Makris, Dafydd J Thomas, George Geroulakos.   

Abstract

OBJECTIVE: To test the hypothesis that the size of a juxtaluminal black (hypoechoic) area (JBA) in ultrasound images of asymptomatic carotid artery plaques predicts future ipsilateral ischemic stroke.
METHODS: A JBA was defined as an area of pixels with a grayscale value <25 adjacent to the lumen without a visible echogenic cap after image normalization. The size of a JBA was measured in the carotid plaque images of 1121 patients with asymptomatic carotid stenosis 50% to 99% in relation to the bulb (Asymptomatic Carotid Stenosis and Risk of Stroke study); the patients were followed for up to 8 years.
RESULTS: The JBA had a linear association with future stroke rate. The area under the receiver-operating characteristic curve was 0.816. Using Kaplan-Meier curves, the mean annual stroke rate was 0.4% in 706 patients with a JBA <4 mm(2), 1.4% in 171 patients with a JBA 4 to 8 mm(2), 3.2% in 46 patients with a JBA 8 to 10 mm(2), and 5% in 198 patients with a JBA >10 mm(2) (P < .001). In a Cox model with ipsilateral ischemic events (amaurosis fugax, transient ischemic attack [TIA], or stroke) as the dependent variable, the JBA (<4 mm(2), 4-8 mm(2), >8 mm(2)) was still significant after adjusting for other plaque features known to be associated with increased risk, including stenosis, grayscale median, presence of discrete white areas without acoustic shadowing indicating neovascularization, plaque area, and history of contralateral TIA or stroke. Plaque area and grayscale median were not significant. Using the significant variables (stenosis, discrete white areas without acoustic shadowing, JBA, and history of contralateral TIA or stroke), this model predicted the annual risk of stroke for each patient (range, 0.1%-10.0%). The average annual stroke risk was <1% in 734 patients, 1% to 1.9% in 94 patients, 2% to 3.9% in 134 patients, 4% to 5.9% in 125 patients, and 6% to 10% in 34 patients.
CONCLUSIONS: The size of a JBA is linearly related to the risk of stroke and can be used in risk stratification models. These findings need to be confirmed in future prospective studies or in the medical arm of randomized controlled studies in the presence of optimal medical therapy. In the meantime, the JBA may be used to select asymptomatic patients at high stroke risk for carotid endarterectomy and spare patients at low risk from an unnecessary operation.
Copyright © 2013 Society for Vascular Surgery. Published by Mosby, Inc. All rights reserved.

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Year:  2013        PMID: 23337294     DOI: 10.1016/j.jvs.2012.09.045

Source DB:  PubMed          Journal:  J Vasc Surg        ISSN: 0741-5214            Impact factor:   4.268


  34 in total

1.  Changes in carotid artery structure with smoking cessation.

Authors:  Carol Mitchell; Megan E Piper; Stevens S Smith; Claudia E Korcarz; Michael C Fiore; Timothy B Baker; James H Stein
Journal:  Vasc Med       Date:  2019-08-17       Impact factor: 3.239

2.  Ultrasound-based internal carotid artery plaque characterization using deep learning paradigm on a supercomputer: a cardiovascular disease/stroke risk assessment system.

Authors:  Luca Saba; Skandha S Sanagala; Suneet K Gupta; Vijaya K Koppula; Amer M Johri; Aditya M Sharma; Raghu Kolluri; Deepak L Bhatt; Andrew Nicolaides; Jasjit S Suri
Journal:  Int J Cardiovasc Imaging       Date:  2021-01-09       Impact factor: 2.357

Review 3.  Medical and Revascularization Therapies for Asymptomatic Carotid Stenosis.

Authors:  Sushrut Dharmadhikari; Seemant Chaturvedi
Journal:  Curr Atheroscler Rep       Date:  2015-08       Impact factor: 5.113

Review 4.  Does preoperative carotid stenosis screening reduce perioperative stroke in patients undergoing coronary artery bypass grafting?

Authors:  Khalil Masabni; Sajjad Raza; Eugene H Blackstone; Heather L Gornik; Joseph F Sabik
Journal:  J Thorac Cardiovasc Surg       Date:  2015-02-10       Impact factor: 5.209

Review 5.  Current status of carotid ultrasound in atherosclerosis.

Authors:  Stella Sin Yee Ho
Journal:  Quant Imaging Med Surg       Date:  2016-06

6.  Noninvasive characterization of carotid plaque strain.

Authors:  Amir A Khan; Siddhartha Sikdar; Thomas Hatsukami; Juan Cebral; Michael Jones; John Huston; George Howard; Brajesh K Lal
Journal:  J Vasc Surg       Date:  2017-03-06       Impact factor: 4.268

Review 7.  Plaque echolucency and stroke risk in asymptomatic carotid stenosis: a systematic review and meta-analysis.

Authors:  Ajay Gupta; Kartik Kesavabhotla; Hediyeh Baradaran; Hooman Kamel; Ankur Pandya; Ashley E Giambrone; Drew Wright; Kevin J Pain; Edward E Mtui; Jasjit S Suri; Pina C Sanelli; Alvin I Mushlin
Journal:  Stroke       Date:  2014-11-18       Impact factor: 7.914

Review 8.  Carotid Artery Stenosis: Medical Therapy, Surgery, and Stenting.

Authors:  Sushrut Dharmakidari; Pratik Bhattacharya; Seemant Chaturvedi
Journal:  Curr Neurol Neurosci Rep       Date:  2017-08-19       Impact factor: 5.081

9.  Echogenicity of the carotid arterial wall in active smokers.

Authors:  Carol Mitchell; Megan E Piper; Claudia E Korcarz; Kristin Hansen; JoAnne Weber; Michael C Fiore; Timothy B Baker; James H Stein
Journal:  J Diagn Med Sonogr       Date:  2017-12-19

10.  Attenuation Coefficient Parameter Computations for Tissue Composition Assessment of Carotid Atherosclerotic Plaque in Vivo.

Authors:  Catherine N Steffel; Shahriar Salamat; Thomas D Cook; Stephanie M Wilbrand; Robert J Dempsey; Carol C Mitchell; Tomy Varghese
Journal:  Ultrasound Med Biol       Date:  2020-04-11       Impact factor: 2.998

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