Prediction of coronary computed tomography angiography on acute coronary syndrome
DOI: 10.23977/medcm.2021.030211 | Downloads: 8 | Views: 882
Author(s)
Zhiyi Chen 1
Affiliation(s)
1 School of Biomedical Engineering, Southern Medical University, Guangzhou, China, 510515
Corresponding Author
Zhiyi ChenABSTRACT
Acute Coronary Syndrome (ACS) is a group of clinical syndrome with coronary atherosclerotic plaque rupture or invasion, secondary or incomplete occasional thrombosis is the pathological basis, including acute ST segment elevated myocardial infarction , Acute non-ST segment raised myocardial infarction and unstable angina are a major disease that threatens human health. The early discovery of ACS, early treatment is of great significance. With the development of my country's CT technology, coronary computed tomography angiography has become a clinically used coronary non-invasive detection method, which provides a wealth of diagnostic information, how to use this information forecast ACS, and become another research hotspot. This paper is intended to summarize the method and predictive accuracy of the current use of coronary computed tomography angiography to predict acute coronary syndrome, and combine data discussion in the feasibility of clinical practical use.
KEYWORDS
Coronary computed tomography angiography, machine learning, acute coronary syndrome, predictionCITE THIS PAPER
Zhiyi Chen, Prediction of coronary computed tomography angiography on acute coronary syndrome. MEDS Chinese Medicine (2021) 3: 54-57. DOI: http://dx.doi.org/10.23977/medcm.2021.030211
REFERENCES
[1] Hu Shengshou et al. “Summary of Chinese Cardiovascular Disease report 2018”, Chinese Journal of Circulation, 2019, 34(3): 209-220.
[2] Liu Yuxian and Ge Yinghui, “Progress of Imaging of Imaging Diagnosis of Coronary Artery Veterinary Picture”, Medical Forum Magazine, 2021, 42(8): 142-145.
[3] Xu Weihua, "Multi-slice spiral CT angiography Evaluation of coronary stenosis and plaque stability of coronary atherosclerotic heart disease", imaging science and photochemical, 2020, 38(3): 491-495.
[4] J. A. Goldstein et al. "The CT-STAT (Coronary Computed Tomographic Angiography for Systematic Triage of Acute Chest Pain Patients to Treatment) Trial", Journal of the American College of Cardiology, 2011, 58(14):1414–1422.
[5] M. S. Bittencourt et al. "Prognostic Value of Nonobstructive and Obstructive Coronary Artery Disease Detected by Coronary Computed Tomography Angiography to Identify Cardiovascular Events", Circ: Cardiovascular Imaging, 2014, 7(2): 282–291.
[6] Pang Dian Shen, Chi Huamen, Zhang Xiuying and Wang Fei, "The Value of Coronary Patient Quantitative Characteristics Predicting Acute Coronary Syndrome", Chinese Journal of Integrated Traditional Chinese Medicine, 2016, 14, (3): 256-259.
[7] Y. Wang et al, "Risk predicting for acute coronary syndrome based on machine learning model with kinetic plaque features from serial coronary computed tomography angiography", European Heart Journal - Cardiovascular Imaging, 2021:101.
[8] Z.-Q. Wang et al, "Diagnostic accuracy of a deep learning approach to calculate FFR from coronary CT angiography".p7
[9] Cheng Quan Xun, Li Lei, Liu Guoshun, Yan Jing and Yi Kang Hui, "Double source CT coronary imaging on clinical diagnosis analysis of coronary stenosis", Function and molecular medical imaging (electronic version), 2014, 3(1): 313-317.
[10] Y. Nakashima et al, "Evaluation of image quality on a per-patient, per-vessel, and per-segment basis by noninvasive coronary angiography with 64-section computed tomography: dual-source versus single-source computed tomography", Jpn J Radio, 2011, 29(5): 316–323.
[11] T. Chen and C. Guestrin, "XGBoost: A Scalable Tree Boosting System", Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016: 785–794.
[12] Douguan, "Coronary CT vascular imaging quantitative analysis in diagnosis of coronary blood flow dynamics", Chinese radiology magazine, 2018, 52(9): 660-667.
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