Filtered By:
Source: Atherosclerosis
Education: Learning
This page shows you your search results in order of date. This is page number 3.
Order by Relevance | Date
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
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
Risk factors for cardiovascular disease in patients with metabolic-associated fatty liver disease: a machine learning approach
CONCLUSION: A ML approach demonstrated high performance in identifying MAFLD patients with prevalent CVD based on the easy-to-obtain patient parameters.PMID:36371249 | DOI:10.1186/s12933-022-01672-9
Source: Atherosclerosis - November 12, 2022 Category: Cardiology Authors: Karolina Dro żdż Katarzyna Nabrdalik Hanna Kwiendacz Mirela Hendel Anna Olejarz Andrzej Tomasik Wojciech Bartman Jakub Nalepa Janusz Gumprecht Gregory Y H Lip Source Type: research
Rapid lipid-laden plaque identification in intravascular optical coherence tomography imaging based on time-series deep learning
ConclusionsThese encouraging results suggest that this method will allow for high throughput video-rate atherosclerotic plaque assessment through automated tissue characterization for in vivo imaging by providing faster screening to assist in guided decision making during percutaneous coronary interventions.PMID:36307914 | DOI:10.1117/1.JBO.27.10.106006
Source: Atherosclerosis - October 29, 2022 Category: Cardiology Authors: Jose J Rico-Jimenez Javier A Jo 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
Identification of immune cell infiltration and diagnostic biomarkers in unstable atherosclerotic plaques by integrated bioinformatics analysis and machine learning
CONCLUSION: M1 macrophages is an important cause of unstable plaque formation, and CD68, PAM, and IGFBP6 could be used as diagnostic markers to identify unstable plaques effectively.PMID:36211422 | PMC:PMC9537477 | DOI:10.3389/fimmu.2022.956078
Source: Atherosclerosis - October 10, 2022 Category: Cardiology Authors: Jing Wang Zijian Kang Yandong Liu Zifu Li Yang Liu Jianmin Liu 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
Preventing post-stroke dementia. The MARCH Trial. Protocol and statistical analysis plan of a randomized clinical trial testing the safety and efficacy of Maraviroc in post-stroke cognitive impairment
CONCLUSIONS: The results of this work could lead to a novel, readily available, therapeutic avenue to reduce PSCI, and possibly other pathologies. This study will test safety and effectiveness of Maraviroc in limiting cognitive deterioration and/or post stroke cognitive impairment in patients with cerebral small vessel disease.SCHEDULE: First-patient first-visit was May 2021. Recruitment to complete in 2023, follow-up to complete in 2024.PMID:36082248 | PMC:PMC9446318 | DOI:10.1177/23969873221098857
Source: Atherosclerosis - September 9, 2022 Category: Cardiology Authors: Einor Ben Assayag Jeremy Molad Estelle Seyman Ofer Rotschild Ehud Zeltzer Udi Sadeh-Gonik Noa Bregman Aviva Alpernas Yahel Segal Dafna Ben Bashat Talya Nathan Muhamad Hawwari Oren Tene Hen Hallevi 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
Application of Artificial Intelligence to Assess the Risks of Simultaneous Operations for Patients with Concomitant Atherosclerotic Damage of Coronary and Carotid Arteries
CONCLUSION: Application of artificial intelligence for determining risk predictors for patients with concurrent atherosclerotic damage of the coronary and carotid arteries is an effective method for prognosticating the risks of simultaneous interventions.PMID:35993002 | PMC:PMC9376756 | DOI:10.17691/stm2022.14.1.06
Source: Atherosclerosis - August 22, 2022 Category: Cardiology Authors: L N Ivanov V G Petrenko N I Grishina А S Mukhin 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
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
