Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/23619
Title: Ultrasound Asymptomatic Carotid Plaque Image Analysis for the Prediction of the Risk of Stroke
Authors: Loizou, Christos P. 
Kyriacou, Efthivoulos 
Major Field of Science: Engineering and Technology
Field Category: Medical Engineering
Keywords: Doppler ultrasound;Carotid artery stenosis;Atherosclerotic plaques;B-mode ultrasound;Risk modeling SVM;Cerebrovascular risk
Issue Date: 2019
Source: Cardiovascular Computing—Methodologies and Clinical Applications, 2019, Part VI, pp. 317-329
Start page: 317
End page: 329
Abstract: High-resolution vascular B-mode and Doppler ultrasound provide information not only on the degree of carotid artery stenosis but also on the characteristics of the arterial wall including the size and consistency of atherosclerotic plaques [1]. Carotid stenosis alone has limitations in predicting risk and does not show plaque vulnerability and instability, thus other ultrasonographic plaque morphologic characteristics have been studied for better prediction of the risk stroke. Plaque echogenicity as assessed by B-mode ultrasound has been found to reliably predict the content of soft tissue and the amount of calcification in carotid plaques. Additionally, it has been reported that subjects with echolucent atherosclerotic plaques have increased risk of ischemic cerebrovascular events [2]. More recent studies by Nicolaides et al. [3] Topakian et al. [4] and Kyriacou et al. [5], showed that plaque echolucency and plaque morphology can be used to predict stroke. Other studies have reported that plaques that are more echolucent and heterogeneous are often associated with higher cerebrovascular risk and the development of ipsilateral neurological symptoms [3, 6, 7, 8, 9, 10]. In contrast, homogeneous hypoechoic and hyperechoic plaques without evidence of ulceration usually remain asymptomatic.
URI: https://hdl.handle.net/20.500.14279/23619
ISBN: 978-981-10-5092-3
DOI: 10.1007/978-981-10-5092-3_16
Rights: © Springer
Type: Book Chapter
Affiliation : Cyprus University of Technology 
Frederick University 
Publication Type: Peer Reviewed
Appears in Collections:Κεφάλαια βιβλίων/Book chapters

CORE Recommender
Show full item record

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons