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Source: Atherosclerosis
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Total 65 results found since Jan 2013.
New strategy for clinical etiologic diagnosis of acute ischemic stroke and blood biomarker discovery based on machine learning
RSC Adv. 2022 May 16;12(23):14716-14723. doi: 10.1039/d2ra02022j. eCollection 2022 May 12.ABSTRACTAcute ischemic stroke (AIS) is a syndrome characterized by high morbidity, prevalence, mortality, recurrence and disability. The longer the delay before proper treatment of a stroke, the greater the likelihood of brain damage and disability. Computed tomography and nuclear magnetic resonance are the primary choices for fast diagnosis of AIS in the early stage, which can provide certain information about infarction location and degree, and even the vascular distribution of lesions responsible for strokes. However, this is quite...
Source: Atherosclerosis - June 15, 2022 Category: Cardiology Authors: Jin Zhang Ting Yuan Sixi Wei Zhanhui Feng Boyan Li Hai Huang Source Type: research
Attention-Based UNet Deep Learning Model for Plaque Segmentation in Carotid Ultrasound for Stroke Risk Stratification: An Artificial Intelligence Paradigm
This study proposes an attention-channel-based UNet deep learning (DL) model that identifies the carotid plaques in the internal carotid artery (ICA) and common carotid artery (CCA) images. Our experiments consist of 970 ICA images from the UK, 379 CCA images from diabetic Japanese patients, and 300 CCA images from post-menopausal women from Hong Kong. We combined both CCA images to form an integrated database of 679 images. A rotation transformation technique was applied to 679 CCA images, doubling the database for the experiments. The cross-validation K5 (80% training: 20% testing) protocol was applied for accuracy deter...
Source: Atherosclerosis - October 26, 2022 Category: Cardiology Authors: Pankaj K Jain Abhishek Dubey Luca Saba Narender N Khanna John R Laird Andrew Nicolaides Mostafa M Fouda Jasjit S Suri Neeraj Sharma Source Type: research
Stroke risk study based on deep learning-based magnetic resonance imaging carotid plaque automatic segmentation algorithm
CONCLUSION: The evaluations in this work have demonstrated that this methodology produces acceptable results for classifying magnetic resonance imaging (MRI) data.PMID:36910524 | PMC:PMC9998982 | DOI:10.3389/fcvm.2023.1101765
Source: Atherosclerosis - March 13, 2023 Category: Cardiology Authors: Ya-Fang Chen Zhen-Jie Chen You-Yu Lin Zhi-Qiang Lin Chun-Nuan Chen Mei-Li Yang Jin-Yin Zhang Yuan-Zhe Li Yi Wang Yin-Hui Huang Source Type: research
Preprocedural determination of an occlusion pathomechanism in endovascular treatment of acute stroke: a machine learning-based decision
CONCLUSIONS: An ML-PM could accurately determine an occlusion pathomechanism with common preprocedural findings. A decision flowchart consisting of the four most influential findings was clinically applicable and superior to single common preprocedural findings for determining an occlusion pathomechanism.PMID:35710314 | DOI:10.1136/neurintsurg-2022-018946
Source: Atherosclerosis - June 16, 2022 Category: Cardiology Authors: Jang-Hyun Baek Byung Moon Kim Dong Joon Kim Ji Hoe Heo Hyo Suk Nam Young Dae Kim Myung Ho Rho Pil-Wook Chung Yu Sam Won Yeongu Chung Source Type: research
A Comorbid Rat Model of Neuroendocrine-Immune System Alterations Under the Impact of Risk Factors for Stroke
Front Aging Neurosci. 2022 Jan 20;13:827503. doi: 10.3389/fnagi.2021.827503. eCollection 2021.ABSTRACTHypercholesterolemia and carotid atherosclerosis contribute to the etiology of stroke. However, there has been a lack of appropriate comorbid animal models incorporating some of the ubiquitous characteristics that precede strokes. Curcumin is a natural active polyphenolic compound extracted from the rhizoma of Curcuma longa L. which possesses comprehensive bioactivities. The present study aimed to evaluate whether neurobehavioral deficits, neuroendocrine-immune dysregulations and cerebral microcirculation dysfunction, are ...
Source: Atherosclerosis - February 7, 2022 Category: Cardiology Authors: Bailiu Ya Xuezhi Li Jingyi Wang Mingsheng Zhao Ting Yu Haiying Wang Qing Xin Qinqin Wang Xin Mu Xuanyu Dong Yang Gao Huabao Xiong Hui Zhang Source Type: research
Far wall plaque segmentation and area measurement in common and internal carotid artery ultrasound using U-series architectures: An unseen Artificial Intelligence paradigm for stroke risk assessment
Comput Biol Med. 2022 Aug 28;149:106017. doi: 10.1016/j.compbiomed.2022.106017. Online ahead of print.ABSTRACTStroke risk assessment using deep learning (DL) requires automated, accurate, and real-time risk assessment while ensuring compact model size. Previous DL paradigms suffered from challenges like memory size, low speed, and complex in nature lacking multi-ethnic, and multi-institution databases. This research segments and measures the area of the plaque far wall of the common carotid (CCA) and internal carotid arteries (ICA) in B-mode ultrasound using four types of solo, namely, UNet, UNet+, UNet++, and UNet+++, and...
Source: Atherosclerosis - September 5, 2022 Category: Cardiology Authors: Pankaj K Jain Neeraj Sharma Mannudeep K Kalra Amer Johri Luca Saba Jasjit S Suri Source Type: research
Ischemic stroke subtyping method combining convolutional neural network and radiomics
CONCLUSION: The experimental results show that the proposed method can effectively predict the subtype of IS and has potential to assist doctors in making timely and accurate diagnoses of IS patients.PMID:36591693 | DOI:10.3233/XST-221284
Source: Atherosclerosis - January 2, 2023 Category: Cardiology Authors: Yang Chen Yiwen He Zhuoyun Jiang Yuanzhong Xie Shengdong Nie Source Type: research
Small vessel disease burden predicts functional outcomes in patients with acute ischemic stroke using machine learning
CONCLUSIONS: Our results revealed that different SVD markers had distinct prognostic weights in AIS patients, and SVD burden alone may accurately predict the SVO-AIS patients' prognosis.PMID:36650639 | DOI:10.1111/cns.14071
Source: Atherosclerosis - January 17, 2023 Category: Cardiology Authors: Xueyang Wang Jinhao Lyu Zhihua Meng Xiaoyan Wu Wen Chen Guohua Wang Qingliang Niu Xin Li Yitong Bian Dan Han Weiting Guo Shuai Yang Xiangbing Bian Yina Lan Liuxian Wang Qi Duan Tingyang Zhang Caohui Duan Chenglin Tian Ling Chen Xin Lou MR-STARS Investigat Source Type: research
Stroke risk prediction by color Doppler ultrasound of carotid artery-based deep learning using Inception V3 and VGG-16
CONCLUSION: In this research, we classified color Doppler ultrasound images into high-risk carotid vulnerable and stable carotid plaques. We fine-tuned pre-trained deep learning models to classify color Doppler ultrasound images according to our dataset. Our suggested framework helps prevent incorrect diagnoses caused by low image quality and individual experience, among other factors.PMID:36864909 | PMC:PMC9971808 | DOI:10.3389/fneur.2023.1111906
Source: Atherosclerosis - March 3, 2023 Category: Cardiology Authors: Shan-Shan Su Li-Ya Li Yi Wang Yuan-Zhe Li Source Type: research
Ischemic stroke prediction of patients with carotid atherosclerotic stenosis < em > via < /em > multi-modality fused network
Front Neurosci. 2023 Feb 24;17:1118376. doi: 10.3389/fnins.2023.1118376. eCollection 2023.ABSTRACTCarotid atherosclerotic stenosis of the carotid artery is an important cause of ischemic cerebrovascular disease. The aim of this study was to predict the presence or absence of clinical symptoms in unknown patients by studying the existence or lack of symptoms of patients with carotid atherosclerotic stenosis. First, a deep neural network prediction model based on brain MRI imaging data of patients with multiple modalities is constructed; it uses the multi-modality features extracted from the neural network as inputs and the ...
Source: Atherosclerosis - March 13, 2023 Category: Cardiology Authors: Peng Lv Jing Yang Jiacheng Wang Yi Guo Qiying Tang Baptiste Magnier Jiang Lin Jianjun Zhou Source Type: research
An accurate and explainable ensemble learning method for carotid plaque prediction in an asymptomatic population
CONCLUSION: The model results are superior to those of state-of-the-art methods. Thus, it is a promising carotid plaque prediction tool that could be used in the primary prevention of stroke.PMID:35569238 | DOI:10.1016/j.cmpb.2022.106842
Source: Atherosclerosis - May 15, 2022 Category: Cardiology Authors: Dan Wu Guosheng Cui Xiaoxiang Huang Yining Chen Guanzheng Liu Lijie Ren Ye Li Source Type: research
Questionnaire-based exposome-wide association studies (ExWAS) reveal expected and novel risk factors associated with cardiovascular outcomes in the Personalized Environment and Genes Study
In conclusion, using statistics and machine learning, these findings identify novel potential risk factors for CVD, enable hypothesis generation, provide insights into the complex relationships between risk factors and CVD, and highlight the importance of considering multiple exposures when examining CVD outcomes.PMID:35605674 | DOI:10.1016/j.envres.2022.113463
Source: Atherosclerosis - May 23, 2022 Category: Cardiology Authors: Eunice Y Lee Farida Akhtari John S House Ross J Simpson Charles P Schmitt David C Fargo Shepherd H Schurman Janet E Hall Alison A Motsinger-Reif Source Type: research
Association of Coronary Artery Calcium Detected by Routine Ungated CT Imaging With Cardiovascular Outcomes
CONCLUSIONS: Incidental CAC ≥100 was associated with an increased risk of all-cause death and adverse cardiovascular outcomes, beyond traditional risk factors. DL-CAC from routine non-ECG-gated CTs identifies patients at increased cardiovascular risk and holds promise as a tool for opportunistic screening to facilitate earlier intervention.PMID:37704309 | DOI:10.1016/j.jacc.2023.06.040
Source: Atherosclerosis - September 13, 2023 Category: Cardiology Authors: Allison W Peng Ramzi Dudum Sneha S Jain David J Maron Bhavik N Patel Nishith Khandwala David Eng Akshay S Chaudhari Alexander T Sandhu Fatima Rodriguez Source Type: research
