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Role of coronary CT imaging diagnosis of coronary functional stenosis

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DOI: 10.23977/jipta.2021.41006 | Downloads: 5 | Views: 381

Author(s)

Zhiyi Chen 1

Affiliation(s)

1 School of Biomedical Engineering, Southern Medical University, Guangzhou, China, 510515

Corresponding Author

Zhiyi Chen

ABSTRACT

Coronary heart disease is a major disease harmful to human health, and coronary angiography, as the gold standard for the diagnosis of coronary heart disease, can directly observe the degree of coronary artery diameter stenosis. However, the invasive and expensive cost of coronary angiography limits its clinical application, and some studies have shown that coronary anatomical stenosis can not fully reflect the myocardial ischemia, and put forward the concept of functional stenosis. With the development of CT technology, coronary artery CT angiography has become a new method to detect functional stenosis. This paper reviews the role of coronary artery CT angiography in the detection of functional coronary artery stenosis.

KEYWORDS

Coronary heart disease, coronary artery CT angiography, coronary CT imaging, FFRCT

CITE THIS PAPER

Zhiyi Chen. Role of coronary CT imaging diagnosis of coronary functional stenosis. Journal of Image Processing Theory and Applications (2021) Vol. 4: 38-41. DOI: http://dx.doi.org/10.23977/jipta.2021.41006

REFERENCES

[1] Hu Shengshou, Yang Yuejin, Zheng Zhe, et al. Summary of Chinese Cardiovascular Disease report 2018 [J]. China Journal of Circulation, 2019: 209-220. 
[2] Cheng Guanxun, Li Lei, Liu Guoshun, Yan Jing, & Yu Kanghui. (2014). Clinical diagnosis of coronary artery stenosis by dual source ct coronary angiography. Functional and Molecular Medical Imaging (Electronic version), 3 (001), 27-30. 
[3] N. H. J. Pijls et al., "Fractional Flow Reserve Versus Angiography for Guiding Percutaneous Coronary Intervention in Patients With Multivessel Coronary Artery Disease", Journal of the American College of Cardiology, 2010, 56(3): 177-184.
[4] Xu Weihua. Evaluation of coronary artery stenosis and plaque stability in patients with coronary atherosclerotic heart disease by multi-slice spiral CT angiography [J]. Image Science and Photochemistry, 2020, v. 38 (03): 120,124. 
[5] B. Murray K. Koo et al., "Diagnosis of Ischemia-Causing Coronary Stenoses by Noninvasive Fractional Flow Reserve Computed From Coronary Computed Tomographic Angiograms", J. Am. Coll. Cardiol., 2011, 58(19): 1989-1997.
[6] J. K.min et al., "non-invasive fractional flow reserve from coronary artery patients", Jacc: cardiovascular imaging, 2015, 8(10): 1209-1222.
[7] L. Yang et al., "Diagnostic performance of rapid non-invasive fractional flow reserve derived from coronary artery CT angiography: an initial validation study", Clinical Radiology, 2019, 74(12): 973.e1-973.e6.
[8] M. Kruk et al., "Workstation-Based Calculation of CTA-Based FFR for Intermediate Stenosis", JACC: Cardiovascular Imaging, 2016:9(6): 690-699
[9] Z-Q. Wang et al., "Diagnostic accuracy of a deep learning approach to calculate FFR from coronary CT angiography", p7.
[10] J. K. Min et al., "Usefulness of Noninvasive Fractional Flow Reserve Computed from Coronary Computed Tomographic Angiograms for Intermediate Stenoses Confirmed by Quantitative Coronary Angiography", Am. J. Cardiol., 2012, 110(7): 971-976.
[11] R. Nakazato et al., "Noninvasive Fractional Flow Reserve Derived From Computed Tomography Angiography for Coronary Lesions of Intermediate Stenosis Severity: Results from the DeFACTO Study", Circ. Cardiovasc. Imaging,. 2013, 6(6): 881-889.
[12] Mengmeng Yu et al., "study on the accuracy of FFR_ (CT) based on machine learning in the diagnosis of functional coronary artery stenosis", International Journal of Medical Radiology, 2018, 41(3): 282-286
[13] Mu Yue, Hong Ye, Han Tingting and Huang Minggang, "Research Progress of Coronary artery CT Angiography in the Evaluation of Coronary artery functional Stenosis", Progress in Cardiology, 2021,42(3): 211-215.
[14] C. Celeng et al., "Anatomical and Functional Computed Tomography for Diagnosing Hemodynamically Significant Coronary Artery Disease", JACC Cardiovasc. Imaging, 2019, 12(7): 1316-1325.
[15] M. J. Bom et al., "Diagnostic Value of Transluminal Attenuation Gradient for the Presence of Ischemia as Defined by Fractional Flow Reserve and Quantitative Positron Emission Tomography", JACC Cardiovasc. Imaging, 2019, 12(2): 323-333.
[16] S. G. Ahn et al., "Combination of the Thermodilution-Derived Index of Microcirculatory Resistance and Coronary Flow Reserve Is Highly Predictive of Microvascular Obstruction on Cardiac Magnetic Resonance Imaging After ST-Segment Elevation Myocardial Infarction", JACC Cardiovasc. Interv, 2016, 9(8): 793-801.
[17] D. Dey et al., "Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study", Eur. Radiol., 2018, 28(6): 2655-2664.
[18] P. Yin et al., "Noninvasive Quantitative Plaque Analysis Identifies Hemodynamically Significant Coronary Arteries Disease", J. Thorac. Imaging, Volume Publish Ahead of Print, 2020: 1.
[19] P. L. von Knebel Doeberitz et al., "Coronary CT angiography-derived plaque quantification with artificial intelligence CT fractional flow reserve for the identification of lesion-specific ischemia", Eur. Radiol, 2019, 29(5): 2378-2387.

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