Comparison of clinical data and computed tomography semiotics of the lungs in COVID-19
https://doi.org/10.21292/2075-1230-2020-98-7-14-25
Abstract
The objective of the study: to compare the degree of lung damage according to chest CT data to the clinical state of COVID-19 patient, to analyze the semiotics and changes in CT data.
Subjects and methods. 317 CT scans were retrospectively analyzed; those scans belonged to 98 patients with COVID-19 treated at N.V. Sklifosovsky Research Institute for Emergency Medicine. Patients were divided into 4 groups, depending on the degree of the lungs damage detected by CT during the primary examination, their clinical state was assessed at each subsequent CT scan. To determine the relationship between the degree of pulmonary changes and the clinical status of patients, a correlation analysis was performed using the rank correlation method, significance was
assessed using the Student's coefficient.
Results. It was found that CT allowed to identify changes in the lungs typical of COVID-19 and assess their degree, as well as to analyze progression or regression lung changes, including comparison with clinical data. A significant correlation was revealed (rs = 0.577) between the growing degree of lung damage, as determined by CT and deterioration of the clinical status of patients.
About the Authors
S. S. Petrikov
N. V. Sklifosovsky Research Institute for Emergency Medicine; A. I. Yevdokimov Moscow State Medical Stomatological University
Russian Federation
Russian Federation
Sergey S. Petrikov, Correspondent Member of RAS, Doctor of Medical Sciences, Professor, Director
3, Bolshaya Sukharevskaya Sq., Moscow, 129090
K. А. Popugaev
N. V. Sklifosovsky Research Institute for Emergency Medicine; Burnasyan Federal Medical Biophysical Center of Federal Medical Biological Agency
Russian Federation
Russian Federation
Konstantin A. Popugaev, Doctor of Medical Sciences, Deputy Director, Head of Regional Vascular Center
3, Bolshaya Sukharevskaya Sq., Moscow, 129090
T. G. Barmina
N. V. Sklifosovsky Research Institute for Emergency Medicine
Russian Federation
Russian Federation
Tatyana G. Barmina, Candidate of Medical Sciences, Senior Researcher of X-ray Diagnostics Department
3, Bolshaya Sukharevskaya Sq., Moscow, 129090
O. А. Zabavskaya
N. V. Sklifosovsky Research Institute for Emergency Medicine; I. M. Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation
Russian Federation
Olga A. Zabavskaya Candidate of Medical Sciences, Senior Teacher of Training Clinical Department
3, Bolshaya Sukharevskaya Sq., Moscow, 129090
F. А. Sharifullin
N. V. Sklifosovsky Research Institute for Emergency Medicine; I. M. Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation
Russian Federation
Faat A. Sharifullin, Doctor of Medical Sciences, Senior Researcher of X-ray Diagnostics Department
3, Bolshaya Sukharevskaya Sq., Moscow, 129090
L. S. Kokov
N. V. Sklifosovsky Research Institute for Emergency Medicine; I. M. Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation
Russian Federation
Leonid S. Kokov, Academician of RAS, Doctor of Medical Sciences, Professor, Head of Research X-ray Department
3, Bolshaya Sukharevskaya Sq., Moscow, 129090
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Review
For citations:
Petrikov S.S., Popugaev K.А., Barmina T.G., Zabavskaya O.А., Sharifullin F.А., Kokov L.S. Comparison of clinical data and computed tomography semiotics of the lungs in COVID-19. Tuberculosis and Lung Diseases. 2020;98(7):14-25. (In Russ.) https://doi.org/10.21292/2075-1230-2020-98-7-14-25
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