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Source: Atherosclerosis
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Total 65 results found since Jan 2013.
Quantitative CTA vascular calcification, atherosclerosis burden, and stroke mechanism in patients with ischemic stroke
CONCLUSION: Atherosclerosis calcium volumes in major vessels were significantly higher in LAA compared to non-LAA stroke in younger age.PMID:37148773 | DOI:10.1016/j.jns.2023.120667
Source: Atherosclerosis - May 6, 2023 Category: Cardiology Authors: Takashi Shimoyama Sibaji Gaj Kunio Nakamura Shivakrishna Kovi Shumei Man Ken Uchino Source Type: research
The association of stroke risk factors with the future thickness of carotid atherosclerotic plaques
DISCUSSION: The effect of each predictor on plaque thickness is complicated by interactions with other risk factors, particularly for the left carotid artery. The side of carotid artery involvement should be considered for stroke prevention.PMID:37125820 | DOI:10.1080/01616412.2023.2208484
Source: Atherosclerosis - May 1, 2023 Category: Cardiology Authors: Tanya Mohammadi Zahra Hooshanginezhad Babak Mohammadi Sina Dolatshahi Source Type: research
Deep convolution neural network for screening carotid calcification in dental panoramic radiographs
PLOS Digit Health. 2023 Apr 12;2(4):e0000081. doi: 10.1371/journal.pdig.0000081. eCollection 2023 Apr.ABSTRACTIschemic stroke, a leading global cause of death and disability, is commonly caused by carotid arteries atherosclerosis. Carotid artery calcification (CAC) is a well-known marker of atherosclerosis. Such calcifications are classically detected by ultrasound screening. In recent years it was shown that these calcifications can also be inferred from routine panoramic dental radiographs. In this work, we focused on panoramic dental radiographs taken from 500 patients, manually labelling each of the patients' sides (ea...
Source: Atherosclerosis - April 12, 2023 Category: Cardiology Authors: Moshe Amitay Zohar Barnett-Itzhaki Shiran Sudri Chana Drori Tamar Wase Imad Abu-El-Naaj Millie Kaplan Ben-Ari Merton Rieck Yossi Avni Gil Pogozelich Ervin Weiss Morris Mosseri Source Type: research
The Genetic Determinants of Aortic Distention
CONCLUSIONS: Genetic determinants of aortic function influence risk for stroke and coronary artery disease and may lead to novel targets for medical intervention.PMID:37019578 | DOI:10.1016/j.jacc.2023.01.044
Source: Atherosclerosis - April 5, 2023 Category: Cardiology Authors: James P Pirruccello Joel T R ämö Seung Hoan Choi Mark D Chaffin Shinwan Kany Mahan Nekoui Elizabeth L Chou Sean J Jurgens Samuel F Friedman Dejan Juric James R Stone Puneet Batra Kenney Ng Anthony A Philippakis Mark E Lindsay Patrick T Ellinor 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
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
Deep-Learning for Epicardial Adipose Tissue Assessment With Computed Tomography: Implications for Cardiovascular Risk Prediction
CONCLUSIONS: Automated assessment of EAT volume is possible in CCTA, including in patients who are technically challenging; it forms a powerful marker of metabolically unhealthy visceral obesity, which could be used for cardiovascular risk stratification.PMID:36881425 | DOI:10.1016/j.jcmg.2022.11.018
Source: Atherosclerosis - March 7, 2023 Category: Cardiology Authors: Henry W West Muhammad Siddique Michelle C Williams Lucrezia Volpe Ria Desai Maria Lyasheva Sheena Thomas Katerina Dangas Christos P Kotanidis Pete Tomlins Ciara Mahon Attila Kardos David Adlam John Graby Jonathan C L Rodrigues Cheerag Shirodaria John Dean 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
Heterogeneity in diagnosis and prognosis of ischaemic stroke subtypes: 9-year follow-up of 22000 cases in Chinese adults
CONCLUSIONS: This study highlighted substantial heterogeneity in prognosis of IS subtypes and utility of ML approaches for classification of IS cases with incomplete clinical investigations.PMID:36847304 | DOI:10.1177/17474930231162265
Source: Atherosclerosis - February 27, 2023 Category: Cardiology Authors: Matthew Chun Haiqiang Qin Iain Turnbull Sam Sansome Simon Gilbert Alex Hacker Neil Wright Tingting Zhu David Clifton Derrick Bennett Yu Guo Pei Pei Jun Lv Canqing Yu Ling Yang Liming Li Yan Lu Zhengming Chen Ben Cairns Yiping Chen Robert Clarke Source Type: research
Predictive Accuracy of Stroke Risk Prediction Models Across Black and White Race, Sex, and Age Groups
CONCLUSIONS AND RELEVANCE: In this analysis of Black and White individuals without stroke or transient ischemic attack among 4 US cohorts, existing stroke-specific risk prediction models and novel machine learning techniques did not significantly improve discriminative accuracy for new-onset stroke compared with the pooled cohort equations, and the REGARDS self-report model had the best calibration. All algorithms exhibited worse discrimination in Black individuals than in White individuals, indicating the need to expand the pool of risk factors and improve modeling techniques to address observed racial disparities and imp...
Source: Atherosclerosis - January 24, 2023 Category: Cardiology Authors: Chuan Hong Michael J Pencina Daniel M Wojdyla Jennifer L Hall Suzanne E Judd Michael Cary Matthew M Engelhard Samuel Berchuck Ying Xian Ralph D'Agostino George Howard Brett Kissela Ricardo Henao 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
Differences in retinal microvasculature between large artery atherosclerosis and small artery disease: an optical coherence tomography angiography study
Conclusions: We found LAA patients had significantly reduced DVC density compared with SAD; we also showed anterior LAA patients had significantly reduced SVC density compared with posterior LAA. These findings suggest retinal imaging has the potential to be used to detect microvasculature changes in subtypes of ischemic stroke.PMID:36620764 | PMC:PMC9816383 | DOI:10.3389/fnagi.2022.1053638
Source: Atherosclerosis - January 9, 2023 Category: Cardiology Authors: Kun Lu William Robert Kwapong Shuai Jiang Xuening Zhang Jianyang Xie Chen Ye Yuying Yan Le Cao Yitian Zhao Bo Wu Source Type: research
