DIAGNOSTICS OF SIGNIFICANT CORONARY STENOSES IN PATIENTS WITH MYOCARDIAL PERFUSION DISORDERS BY THE DATA OF MONOFOTON EMISSION COMPUTED TOMOGRAPHY OF MYOCARDIUM USING MATHEMATIC INSTRUMENT OF ARTIFICIAL NEURONAL NETWORKS
https://doi.org/10.15829/1560-4071-2015-12-14-19
Abstract
The method described, of non-invasive diagnostics of significant coronary stenosis in patients with disordered myocardial perfusion by the data of monofoton emission computed tomography of myocardium. The method includes utilization of echocardiographic parameters — index of asynergy of the left ventricle and presence of significant mitral regurgitation. It is possible to find coronary stenosis via the presence of parameters obtained with mathematic instrument of artificial neuron nets: presence of lesion (if it is convenient to talk of the presence of lesion) or absence of lesion (if the lesion is absent). Specificity of the method was 93,6%, sensitivity — 68,8%.
About the Authors
V. A. Kuznetsov
Branch of SRI of Cardiology Tyumen Center of Cardiology
Russian Federation
Tyumen
Russian Federation
Tyumen
E. I. Yaroslavskaya
Branch of SRI of Cardiology Tyumen Center of Cardiology
Russian Federation
Tyumen
Russian Federation
Tyumen
D. V. Krinochkin
Branch of SRI of Cardiology Tyumen Center of Cardiology
Russian Federation
Tyumen
Russian Federation
Tyumen
D. V. Teffenberg
Branch of SRI of Cardiology Tyumen Center of Cardiology
Russian Federation
Tyumen
Russian Federation
Tyumen
V. N. Kutrunov
Tyumen State University
Russian Federation
Tyumen
Russian Federation
Tyumen
S. M. Diachkov
Tyumen State University
Russian Federation
Tyumen
Russian Federation
Tyumen
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Review
For citations:
Kuznetsov V.A., Yaroslavskaya E.I., Krinochkin D.V., Teffenberg D.V., Kutrunov V.N., Diachkov S.M. DIAGNOSTICS OF SIGNIFICANT CORONARY STENOSES IN PATIENTS WITH MYOCARDIAL PERFUSION DISORDERS BY THE DATA OF MONOFOTON EMISSION COMPUTED TOMOGRAPHY OF MYOCARDIUM USING MATHEMATIC INSTRUMENT OF ARTIFICIAL NEURONAL NETWORKS. Russian Journal of Cardiology. 2015;(12):14-19. (In Russ.) https://doi.org/10.15829/1560-4071-2015-12-14-19
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