scholarly journals Prediction of the time period of stroke based on ultrasound image analysis of initially asymptomatic carotid plaques

2015 ◽  
Author(s):  
E. Kyriacou ◽  
P. Vogazianos ◽  
C. Christodoulou ◽  
C. Loizou ◽  
A. S. Panayides ◽  
...  
Keyword(s):  
Image Analysis ◽  
Ultrasound Image ◽  
Asymptomatic Carotid ◽  
Carotid Plaques ◽  
Time Period

scholarly journals Evaluation of Digestive Activation Level of a Small Intestine by Abdominal Ultrasound Image Analysis

2011 ◽  
Vol 12 (3) ◽  
pp. 81-89 ◽  
Author(s):  
Osamu SAKATA ◽  
Yutaka SUZUKI ◽  
Ken-ichi MATSUDA ◽  
Takaaki SATAKE
Keyword(s):  
Image Analysis ◽  
Small Intestine ◽  
Ultrasound Image ◽  
Abdominal Ultrasound ◽  
Activation Level

Characterization of symptomatic and asymptomatic carotid plaques using high-resolution real-time ultrasonography

1993 ◽  
Vol 80 (10) ◽  
pp. 1274-1277 ◽  
Author(s):  
G. Geroulakos ◽  
G. Ramaswami ◽  
A. Nicolaides ◽  
K. James ◽  
N. Labropoulos ◽  
...  
Keyword(s):  
High Resolution ◽  
Real Time ◽  
Asymptomatic Carotid ◽  
Carotid Plaques ◽  
Real Time Ultrasonography

scholarly journals Assessment of Stroke Risk Based on Morphological Ultrasound Image Analysis with Conformal Prediction

2010 ◽  
pp. 146-153 ◽  
Author(s):  
Antonis Lambrou ◽  
Harris Papadopoulos ◽  
Efthyvoulos Kyriacou ◽  
Constantinos S. Pattichis ◽  
Marios S. Pattichis ◽  
...  
Keyword(s):  
Image Analysis ◽  
Stroke Risk ◽  
Ultrasound Image ◽  
Conformal Prediction

Factors associated with the elasticity of asymptomatic carotid plaques in hypertension Tibetan population

Vascular ◽  
2021 ◽  
pp. 170853812110609
Author(s):  
Guyue Liu ◽  
Qing Xu ◽  
Min Sun ◽  
Rong Xiao
Keyword(s):  
Young’S Modulus ◽  
Carotid Plaque ◽  
Young's Modulus ◽  
Shear Wave Elastography ◽  
Final Analysis ◽  
Independent Factor ◽  
Asymptomatic Carotid ◽  
Carotid Plaques ◽  
Tibetan Population ◽  
Grade 3

Aims Hypertension is a major risk factor for coronary, cerebrovascular, and the greatest cause of stroke. Half of stroke events are the result of cerebrovascular atherosclerosis, including carotid plaques. It is of major importance to detect which plaques are vulnerable, even though not yet ruptured. Due to the particularity of the Tibetan population, this study evaluated the elasticity of asymptomatic carotid plaques in Tibetan hypertension patients using shear wave elastography (SWE) and explored associated risk factors. Methods A total of 91 Tibetan patients were divided into normotension, grade 1-2, and grade 3 hypertension groups based on the level of blood pressure. All subjects underwent common duplex ultrasonic examination and SWE evaluation for carotid plaques. Elasticity of carotid plaque was assessed by Young’s modulus. Results The final analysis included 126 plaques as representative plaques according to Total Plaque Risk Score. The mean and maximum Young’s modulus in the grade 3 hypertension group were smaller, and more plaques with irregularity surface compared with the other two groups ( p < 0.05). Multivariate regression analysis showed drinking butter tea (β = −0.220, p = 0.009; β = −0.240, p = 0.004, respectively) was the independent factor associated with mean and maximum Young’s modulus. Conclusions SWE is feasible for measurement of Young’s modulus of carotid plaques. Plaques in the grade 3 hypertension group were more likely to become vulnerable ones. In hypertension Tibetan patients, drinking butter tea was an independent factor associated with mean and maximum Young’s modulus of asymptomatic carotid plaque.

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

2013 ◽  
Vol 57 (3) ◽  
pp. 609-618.e1 ◽  
Author(s):  
Stavros K. Kakkos ◽  
Maura B. Griffin ◽  
Andrew N. Nicolaides ◽  
Efthyvoulos Kyriacou ◽  
Michael M. Sabetai ◽  
...  
Keyword(s):  
Ultrasound Images ◽  
Asymptomatic Carotid ◽  
Carotid Plaques

Efficient and Effective Ultrasound Image Analysis Scheme for Thyroid Nodule Detection

2007 ◽  
pp. 1052-1060 ◽  
Author(s):  
Eystratios G. Keramidas ◽  
Dimitris K. Iakovidis ◽  
Dimitris Maroulis ◽  
Stavros Karkanis
Keyword(s):  
Image Analysis ◽  
Thyroid Nodule ◽  
Ultrasound Image ◽  
Analysis Scheme ◽  
Nodule Detection
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