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Source: Atherosclerosis
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Total 65 results found since Jan 2013.
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
Radiomics versus Conventional Assessment to Identify Symptomatic Participants at Carotid Computed Tomography Angiography
CONCLUSION: Radiomics-based ML analysis improves the discriminatory power of carotid CTA in the identification of recent ischemic symptoms in patients with carotid artery atherosclerosis.PMID:35259744 | DOI:10.1159/000522058
Source: Atherosclerosis - March 8, 2022 Category: Cardiology Authors: Zheng Dong ChangSheng Zhou HongXia Li JiaQian Shi Jia Liu QuanHui Liu XiaoQin Su FanDong Zhang XiaoQing Cheng GuangMing Lu Source Type: research
Evaluation of Intima-Media Thickness and Arterial Stiffness as Early Ultrasound Biomarkers of Carotid Artery Atherosclerosis
Cardiol Ther. 2022 Apr 1. doi: 10.1007/s40119-022-00261-x. Online ahead of print.ABSTRACTCarotid atherosclerosis is a major and potentially preventable cause of ischemic stroke. It begins early in life and progresses silently over the years. Identification of individuals with subclinical atherosclerosis is needed to initiate early aggressive vascular prevention. Although carotid plaque appears to be a powerful predictor of cardiovascular risk, carotid intima-media thickness (CIMT) and arterial stiffness can be detected at the initial phases and, therefore, they are considered important new biomarkers of carotid atheroscler...
Source: Atherosclerosis - April 1, 2022 Category: Cardiology Authors: Ver ónica Fernández-Alvarez Miriam Linares S ánchez Fernando L ópez Alvarez Carlos Su árez Nieto Antti A M äkitie Kerry D Olsen Alfio Ferlito Source Type: research
Thrombosis origin identification of cardioembolism and large artery atherosclerosis by distinct metabolites
CONCLUSIONS: Six metabolites as potential predictors for distinguishing between cerebral thrombi of CE and LAA origin were identified. The results are useful for understanding the pathogenesis and for secondary stroke prevention.PMID:35654581 | DOI:10.1136/neurintsurg-2022-019047
Source: Atherosclerosis - June 2, 2022 Category: Cardiology Authors: Wei Li Xuesong Bai Jiheng Hao Xin Xu Feng Lin Qunlong Jiang Chunguang Ding Gaolei Dai Fangda Peng Meng Zhang Yao Feng Jiyue Wang Xianyang Chen Teng Xue Xiaofan Guo Zhaolin Fu Wen-Huo Chen Liyong Zhang Chaodong Wang Liqun Jiao Source Type: research
Vascular adhesion protein-1 (VAP-1) in vascular inflammatory diseases
Vasa. 2022 Oct 6. doi: 10.1024/0301-1526/a001031. Online ahead of print.ABSTRACT Vascular adhesion protein-1 (VAP-1) also known as amino oxidase copper containing 3 (AOC3) is a pro-inflammatory and versatile molecule with adhesive and enzymatic properties. VAP-1 is a primary amine oxidase belonging to the semicarbazide-sensitive amine oxidase (SSAO) family, which catalyzes the oxidation of primary amines leading to the production of ammonium, formaldehyde, methylglyoxal, and hydrogen peroxide. VAP-1 is mainly expressed by endothelial cells, smooth muscle cells, adipocytes and pericytes. It is involved in a repertoire of bi...
Source: Atherosclerosis - October 6, 2022 Category: Cardiology Authors: Marianna Danielli Roisin Clare Thomas Lauren Marie Quinn Bee Kang Tan 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
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
Multicomponent material property characterization of atherosclerotic human carotid arteries through a Bayesian Optimization based inverse finite element approach
CONCLUSION: The developed iFEM approach combined with the inverted GP model successfully predicted component-wise material properties of intact atherosclerotic human carotids ex-vivo under physiological-like loading conditions.SIGNIFICANCE: We developed a novel iFEM framework for the nonlinear, component-wise material characterization of atherosclerotic arteries and utilized it to obtain human atherosclerotic carotid material properties. The developed iFEM framework has great potential to be advanced for patient-specific in-vivo application.PMID:34864574 | DOI:10.1016/j.jmbbm.2021.104996
Source: Atherosclerosis - December 5, 2021 Category: Cardiology Authors: Su Guvenir Torun Hakki M Torun Hendrik H G Hansen Chris L de Korte Antonius F W van der Steen Frank J H Gijsen Ali C Akyildiz Source Type: research
Stratification of carotid atheromatous plaque using interpretable deep learning methods on B-mode ultrasound images
Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:3902-3905. doi: 10.1109/EMBC46164.2021.9630402.ABSTRACTCarotid atherosclerosis is the major cause of ischemic stroke resulting in significant rates of mortality and disability annually. Early diagnosis of such cases is of great importance, since it enables clinicians to apply a more effective treatment strategy. This paper introduces an interpretable classification approach of carotid ultrasound images for the risk assessment and stratification of patients with carotid atheromatous plaque. To address the highly imbalanced distribution of patients between the symptomatic an...
Source: Atherosclerosis - December 11, 2021 Category: Cardiology Authors: Theofanis Ganitidis Maria Athanasiou Kalliopi Dalakleidi Nikos Melanitis Spyretta Golemati Konstantina S Nikita Source Type: research
Rationale and design of the Brazilian Diabetes Study: a prospective cohort of type 2 diabetes
CONCLUSION: The BDS will be the first large population-based cohort dedicated to the identification of clinical phenotypes of T2D at higher risk of cardiovascular events. Data derived from this study will provide valuable information on risk estimation and prevention of cardiovascular and other diabetes-related events.PMID:35174749 | DOI:10.1080/03007995.2022.2043658
Source: Atherosclerosis - February 17, 2022 Category: Cardiology Authors: Joaquim Barreto Vaneza Wolf Isabella Bonilha Beatriz Luchiari Marcus Lima Alessandra Oliveira Sofia Vitte Gabriela Machado Jessica Cunha Cynthia Borges Daniel Munhoz Vicente Fernandes Sheila Tatsumi Kimura-Medorima Ikaro Breder Marta Duran Fernandez Thiag Source Type: research
Emerging Feature Extraction Techniques for Machine Learning-Based Classification of Carotid Artery Ultrasound Images
This study presents the extraction of 65 features, which constitute of shape, texture, histogram, correlogram, and morphology features. Principal component analysis (PCA)-based feature selection is performed, and the 22 most significant features, which will improve the classification accuracy, are selected. Naive Bayes algorithm and dynamic learning vector quantization (DLVQ)-based machine learning classifications are performed with the extracted and selected features, and analysis is performed.PMID:35602622 | PMC:PMC9119795 | DOI:10.1155/2022/1847981
Source: Atherosclerosis - May 23, 2022 Category: Cardiology Authors: S Latha P Muthu Samiappan Dhanalakshmi R Kumar Khin Wee Lai Xiang Wu Source Type: research
