AIMC Topic: Carotid Artery, Common

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A deep learning-based calculation system for plaque stenosis severity on common carotid artery of ultrasound images.

Vascular Apr 24, 2024
ObjectivesAssessment of plaque stenosis severity allows better management of carotid source of stroke. Our objective is to create a deep learning (DL) model to segment carotid intima-media thickness and plaque and further automatically calculate plaq...
Deep Learning Ultrasonography Predictive Value of Tests Male Middle Aged Severity of Illness Index Image Interpretation, Computer-Assisted Observer Variation Carotid Intima-Media Thickness Female Reproducibility of Results Aged Carotid Artery, Common Humans Plaque, Atherosclerotic Carotid Stenosis
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Robot-Assisted Carotid Artery Stenting: A Safety and Feasibility Study.

Cardiovascular and interventional radiology Jan 14, 2021
PURPOSE: Endovascular robotics is an emerging technology within the developing field of medical robotics. This was a prospective evaluation to assess safety and feasibility of robotic-assisted carotid artery stenting.
Humans Aged, 80 and over Male Middle Aged Prospective Studies Female Aged Computed Tomography Angiography Carotid Stenosis Stents Carotid Artery, Common Vascular Surgical Procedures Treatment Outcome Robotics Feasibility Studies
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Cardiovascular/stroke risk prevention: A new machine learning framework integrating carotid ultrasound image-based phenotypes and its harmonics with conventional risk factors.

Indian heart journal Jun 18, 2020
MOTIVATION: Machine learning (ML)-based stroke risk stratification systems have typically focused on conventional risk factors (CRF) (AtheroRisk-conventional). Besides CRF, carotid ultrasound image phenotypes (CUSIP) have shown to be powerful phenoty...
Stroke Carotid Artery, Common Risk Assessment Ultrasonography Follow-Up Studies Humans Machine Learning Phenotype Retrospective Studies Risk Factors
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Plaque components segmentation in carotid artery on simultaneous non-contrast angiography and intraplaque hemorrhage imaging using machine learning.

Magnetic resonance imaging Apr 5, 2019
PURPOSE: This study sought to determine the feasibility of using Simultaneous Non-contrast Angiography and intraPlaque Hemorrhage (SNAP) to detect the lipid-rich/necrotic core (LRNC), and develop a machine learning based algorithm to segment plaque c...
Plaque, Amyloid Angiography Necrosis Humans Carotid Stenosis Machine Learning Carotid Artery, Common Algorithms Plaque, Atherosclerotic Contrast Media Cerebral Hemorrhage Sensitivity and Specificity Calcinosis Female Bayes Theorem Lipids Male Carotid Arteries Reproducibility of Results Middle Aged Aged
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Influence of Nanosilver on Endothelial Function and Vascular Reactivity of Isolated Rabbit Carotid Artery.

Nigerian journal of physiological sciences : official publication of the Physiological Society of Nigeria Dec 30, 2018
There is paucity of information on the effects and mechanism of action of Nanosilver on vascular tone andendothelial function in spite of the upsurge in nanotechnology application in biomedicine. The present study determined theeffect of Nanosilver o...
Vasodilator Agents Carotid Arteries Carotid Artery, Common Rabbits Animals Muscle Contraction Muscle, Smooth, Vascular Endothelium, Vascular Silver NG-Nitroarginine Methyl Ester Acetylcholine Phenylephrine
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Convolutional Neural Network for Segmentation and Measurement of Intima Media Thickness.

Journal of medical systems Jul 9, 2018
The measurement of Carotid Intima Media Thickness (IMT) on Common Carotid Artery (CCA) is a principle marker of risk of cardiovascular disease. This paper presents a novel method of using deep Convolutional Neural Network (CNN) for identification and...
Carotid Intima-Media Thickness Carotid Arteries Carotid Artery, Common Humans Neural Networks, Computer Algorithms
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Recognition of early stage thigmotaxis in Morris water maze test with convolutional neural network.

PloS one May 3, 2018
The Morris water maze test (MWM) is a useful tool to evaluate rodents' spatial learning and memory, but the outcome is susceptible to various experimental conditions. Thigmotaxis is a commonly observed behavioral pattern which is thought to be relate...
Carotid Stenosis Spatial Memory Taxis Response Sensitivity and Specificity Animals Male Swimming Mice Neural Networks, Computer Carotid Artery, Common Mice, Inbred C57BL Machine Learning Maze Learning Reaction Time
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