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Machine learning-based identification of symptomatic carotid atherosclerotic plaques with dual-energy computed tomography angiography
CONCLUSION: FF and NID can serve as useful imaging markers of symptomatic carotid plaques. This tree-based machine learning model incorporating both DECT and clinical features could potentially comprise a non-invasive method for identification of symptomatic carotid plaques to guide clinical treatment strategies.PMID:37290153 | DOI:10.1016/j.jstrokecerebrovasdis.2023.107209
Source: Atherosclerosis - June 8, 2023 Category: Cardiology Authors: Ling-Jie Wang Pei-Qing Zhai Li-Li Xue Cai-Yun Shi Qian Zhang Hua Zhang Source Type: research

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

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

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

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

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