应用双源CT分析缺血性脑卒中伴糖尿病患者的颈动脉粥样硬化的CTA特征
CTA Characteristics of Carotid Atherosclerosis in Patients with Ischemic Stroke and Diabetes Mellitus Were Analyzed by Dual-Source CT
DOI: 10.12677/ACM.2022.124406, PDF,   
作者: 范佳卉:青海大学研究生院,青海 西宁;梅 利*:西宁市第一人民医院,青海 西宁
关键词: 缺血性脑卒中糖尿病颈动脉粥样硬化双源CTIschemic Stroke Diabetes Carotid Atherosclerosis Dual-Energy CT
摘要: 缺血性脑卒中发生的主要原因是动脉粥样硬化,其中不稳定的颈动脉粥样硬化斑块是缺血性脑卒中发展的病理基础。临床上检测颈动脉粥样硬化斑块的方法有很多,但随着影像技术的发展,人们对于非侵入性技术展开了新的研究,如双源CT,可以对斑块成分进行定量定性分析,判断斑块的稳定性。本文主要通过应用双源CT血管造影,讨论缺血性脑卒中伴糖尿病患者的颈动脉粥样硬化的CTA特征。
Abstract: Atherosclerosis is the main cause of ischemic stroke, and unstable carotid atherosclerotic plaque is the pathological basis of the development of ischemic stroke. There are many methods for clinical detection of carotid atherosclerotic plaque, but with the development of imaging technology, new research has been carried out on non-invasive techniques, such as dual-source CT, which can perform quantitative and qualitative analysis of plaque components and determine the stability of plaque. In this study, CTA characteristics of carotid atherosclerosis in patients with ischemic stroke and diabetes mellitus were discussed by dual-source CT angiography.
文章引用:范佳卉, 梅利. 应用双源CT分析缺血性脑卒中伴糖尿病患者的颈动脉粥样硬化的CTA特征[J]. 临床医学进展, 2022, 12(4): 2831-2835. https://doi.org/10.12677/ACM.2022.124406

参考文献

[1] Diener, H.C. and Hankey, G.J. (2020) Primary and Secondary Prevention of Ischemic Stroke and Cerebral Hemorrhage: JACC Focus Seminar. Journal of the American College of Cardiology, 75, 1804-1818. [Google Scholar] [CrossRef] [PubMed]
[2] Zhou, S., Liu, S., Liu, X. and Zhuang, W. (2021) Bioinformatics Gene Analysis of Potential Biomarkers and Therapeutic Targets for Unstable Atherosclerotic Plaque-Related Stroke. Journal of Molecular Neuroscience, 71, 1031-1045. [Google Scholar] [CrossRef] [PubMed]
[3] 王拥军, 熊云云, 杨佳蕾, 李光硕, 闫然, 王文洁, 等. 卒中: 回眸2020 [J]. 中国卒中杂志, 2021, 16(2): 101-118.
[4] Cho, N.H., Shaw, J.E., Karuranga, S., Huang, Y., da Rocha Fernandes, J.D., Ohlrogge, A.W., et al. (2018) IDF Diabetes Atlas: Global estimates of Diabetes Prevalence for 2017 and Projections for 2045. Diabetes Research and Clinical Practice, 138, 271-281. [Google Scholar] [CrossRef] [PubMed]
[5] Vesa, S.C., Sonia, I.V., Vitalie, V.S.C., Crisan, S., Sabin, O., Pasca, S., et al. (2020) CYP4F2 and VKORC1 Polymorphisms Amplify the Risk of Carotid Plaque Formation. Genes, 11, Article No. 822. [Google Scholar] [CrossRef] [PubMed]
[6] Murgia, A., Erta, M., Suri, J.S., Gupta, A., Wintermark, M. and Saba, L. (2020) CT Imaging Features of Carotid Artery Plaque Vulnerability. Annals of Translational Medicine, 8, Article No. 1261. [Google Scholar] [CrossRef] [PubMed]
[7] 郭笑颜, 陈伟彬, 李盖, 张惠英. 脑梗死患者血脂水平与颈动脉粥样硬化CTA特征的相关性[J]. 临床放射学杂志, 2019, 38(2): 214-218.
[8] Daghem, M., Bing, R., Fayad, Z.A. and Dweck, M.R. (2020) Noninvasive Imaging to Assess Atherosclerotic Plaque Composition and Disease Activity: Coronary and Carotid Applications. JACC: Cardiovascular Imaging, 13, 1055-1068. [Google Scholar] [CrossRef] [PubMed]
[9] 药海滨. 高血糖对急性脑卒中患者血管的影响[J]. 中国药物与临床, 2016, 16(10): 1500-1501.
[10] 周英, 朱荣志, 檀国祥, 李其英, 丁婷, 许啟伍. 卒中前血糖水平对急性缺血性脑卒中早期神经功能缺损严重程度及预后的影响[J]. 安徽医药, 2019, 23(7): 1437-1441.
[11] 袁彬彬. 动脉粥样硬化性脑卒中合并2型糖尿病患者的临床分析[J]. 当代医学, 2021, 27(2): 173-175.
[12] 孔杨琴. 同型半胱氨酸与急性脑梗死患者颈动脉斑块的关系[J]. 中国当代医药, 2020, 27(34): 71-73+77.
[13] Mura, M., Della, S.N., Long, A., Chirico, E.N., Pialoux, V., Millon, A., et al. (2020) Carotid Intraplaque Haemorrhage: Pathogenesis, Histo-logical Classification, Imaging Methods and Clinical Value. Annals of Translational Medicine, 8, Article No. 1273. [Google Scholar] [CrossRef] [PubMed]
[14] Reynoso, E., Rodriguez-Granillo, G.A., Capunay, C., Deviggiano, A., Meli, F. and Carrascosa, P. (2017) Spectral Signal Density of Carotid Plaque Using Dual-Energy Computed Tomogra-phy. Journal of Neuroimaging, 27, 511-516. [Google Scholar] [CrossRef] [PubMed]
[15] Paul, J., Tan, M.M., Farhang, M., Beeres, M. and Vogl, T.J. (2013) Du-al-Energy CT Spectral and Energy Weighted Data Sets: Carotid Stenosis and Plaque Detection. Academic Radiology, 20, 1144-1151. [Google Scholar] [CrossRef] [PubMed]
[16] Qu, H., Gao, Y., Li., M., Zhai, S., Zhang, M. and Lu, J. (2020) Dual Energy Computed Tomography of Internal Carotid Artery: A Modified Dual-Energy Algorithm for Calcified Plaque Removal, Compared with Digital Subtraction Angiography. Frontiers in Neurology, 11, Article ID: 621202. [Google Scholar] [CrossRef] [PubMed]
[17] Mannil, M., Ramachandran, J., Vittoria, D.M.I., Wegener, S., Schmidt, B., Flohr, T., et al. (2017) Modified Dual-Energy Algorithm for Calcified Plaque Removal: Evaluation in Carotid Computed Tomography Angiography and Comparison with Digital Subtraction Angiography. Investigative Radiology, 52, 680-685. [Google Scholar] [CrossRef