Carotid Plaque Morphology Improves Stroke Risk Prediction: Usefulness of a New Ultrasonographic Score

2011 ◽  
Vol 31 (3) ◽  
pp. 300-304 ◽  
Author(s):  
P. Prati ◽  
A. Tosetto ◽  
M. Casaroli ◽  
A. Bignamini ◽  
L. Canciani ◽  
...  
Keyword(s):  
Risk Prediction ◽  
Carotid Plaque ◽  
Stroke Risk ◽  
Plaque Morphology

Ultrasonographic carotid plaque morphology in predicting stroke risk

1996 ◽  
Vol 83 (10) ◽  
pp. 1479-1480
Author(s):  
R. J. Holdsworth ◽  
P. T. McCollum
Keyword(s):  
Carotid Plaque ◽  
Stroke Risk ◽  
Plaque Morphology

scholarly journals A Review of Noninvasive Ultrasound Image Processing Methods in the Analysis of Carotid Plaque Morphology for the Assessment of Stroke Risk

2010 ◽  
Vol 14 (4) ◽  
pp. 1027-1038 ◽  
Author(s):  
Efthyvoulos C Kyriacou ◽  
Constantinos Pattichis ◽  
Marios Pattichis ◽  
Christos Loizou ◽  
Christodoulos Christodoulou ◽  
...  
Keyword(s):  
Image Processing ◽  
Carotid Plaque ◽  
Stroke Risk ◽  
Ultrasound Image ◽  
Plaque Morphology ◽  
Processing Methods ◽  
Ultrasound Image Processing

Ultrasonographic carotid plaque morphology in predicting stroke risk

1996 ◽  
Vol 83 (5) ◽  
pp. 582-587 ◽  
Author(s):  
G. Geroulakos ◽  
R. W. Hobson ◽  
A. Nicolaides
Keyword(s):  
Carotid Plaque ◽  
Stroke Risk ◽  
Plaque Morphology

scholarly journals The analysis of the connection between plaque morphology of the asymptomatic carotid stenosis and ischemic brain lesions

2013 ◽  
Vol 70 (11) ◽  
pp. 993-998 ◽  
Author(s):  
Djordje Milosevic ◽  
Janko Pasternak ◽  
Vladan Popovic ◽  
Dragan Nikolic ◽  
Pavle Milosevic ◽  
...  
Keyword(s):  
Risk Factors ◽  
Carotid Stenosis ◽  
Carotid Plaque ◽  
Brain Infarction ◽  
Statistical Significance ◽  
Brain Parenchyma ◽  
Plaque Morphology ◽  
Asymptomatic Carotid Stenosis ◽  
Asymptomatic Carotid ◽  
Silent Brain Infarction

Background/Aim. A certain percentage of patients with asymptomatic carotid stenosis have an unstable carotid plaque. For these patients it is possible to register by modern imaging methods the existence of lesions of the brain parenchyma - the silent brain infarction. These patients have a greater risk of ischemic stroke. The aim of this study was to analyze the connection between the morphology of atherosclerotic carotid plaque in patients with asymptomatic carotid stenosis and the manifestation of silent brain infarction, and to analyze the influence of risk factors for cardiovascular diseases on the occurrence of silent brain infarction and the morphology of carotid plaque. Methods. This retrospective study included patients who had been operated for high grade (> 70%) extracranial atherosclerotic carotid stenosis at the Clinic for Vascular and Transplantation Surgery of the Clinical Center of Vojvodina over a period of 5 years. The patients analyzed had no clinical manifestation of cerebrovascular insufficiency of the carotid artery territory up to the time of operation. The classification of carotid plaque morphology was carried out according to the Gray-Weale classification, after which all the types were subcategorized into two groups: stable and unstable. Brain lesions were verified using preoperative imaging of the brain parenchyma by magnetic resonance. We analyzed ipsilateral lesions of the size > or = 3 mm. Results. Out of a 201 patients 78% had stable plaque and 22% unstable one. Unstable plaque was prevalent in the male patients (male/female ratio = 24.8% : 17.8%), but without a statistically significant difference (p > 0.05). The risk factors (hypertension, nicotinism, hyperlipoproteinemia, and diabetes mellitus) showed no statistically significant impact on carotid plaque morphology and the occurrence of silent brain infarction. Silent brain infarction was detected in 30.8% of the patients. Unstable carotid plaque was found in a larger percentage of patients with silent brain infarction (36.4% : 29.3%) but without a significant statistical difference (p > 0.05). Conclusions. Even though silent brain infarction is more frequent in patients with unstable plaque of carotid bifurication, the difference is of no statistical significance. The effects of the number and type of risk factors bear no statistical significance on the incidence of morphological asymptomatic carotid plaque.

scholarly journals Trends and Challenges of Wearable Multimodal Technologies for Stroke Risk Prediction

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 460
Author(s):  
Yun-Hsuan Chen ◽  
Mohamad Sawan
Keyword(s):  
Risk Prediction ◽  
High Precision ◽  
Near Infrared ◽  
Stroke Risk ◽  
Functional Near Infrared Spectroscopy ◽  
Frequency Of Use ◽  
Data Continuity ◽  
User Friendly ◽  
Different Characteristics ◽  
The Internet Of Things

We review in this paper the wearable-based technologies intended for real-time monitoring of stroke-related physiological parameters. These measurements are undertaken to prevent death and disability due to stroke. We compare the various characteristics, such as weight, accessibility, frequency of use, data continuity, and response time of these wearables. It was found that the most user-friendly wearables can have limitations in reporting high-precision prediction outcomes. Therefore, we report also the trend of integrating these wearables into the internet of things (IoT) and combining electronic health records (EHRs) and machine learning (ML) algorithms to establish a stroke risk prediction system. Due to different characteristics, such as accessibility, time, and spatial resolution of various wearable-based technologies, strategies of applying different types of wearables to maximize the efficacy of stroke risk prediction are also reported. In addition, based on the various applications of multimodal electroencephalography–functional near-infrared spectroscopy (EEG–fNIRS) on stroke patients, the perspective of using this technique to improve the prediction performance is elaborated. Expected prediction has to be dynamically delivered with high-precision outcomes. There is a need for stroke risk stratification and management to reduce the resulting social and economic burden.

scholarly journals Association between White Matter Ischaemia and Carotid Plaque Morphology as Defined by High-resolution In Vivo MRI

2009 ◽  
Vol 38 (2) ◽  
pp. 149-154 ◽  
Author(s):  
A.J. Patterson ◽  
J.M. U-King-Im ◽  
T.Y. Tang ◽  
D.J. Scoffings ◽  
S.P.S. Howarth ◽  
...  
Keyword(s):  
White Matter ◽  
High Resolution ◽  
Carotid Plaque ◽  
Plaque Morphology
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