Open AccessComparison of clinical data and computed tomography semiotics of the lungs in COVID-19
Author(s) -
С. С. Петриков,
К. А. Попугаев,
Т. Г. Бармина,
O. A. Zabavskaya,
Ф А Шарифуллин,
Л. С. Коков
Publication year - 2020
Publication title -
tuberkulez i bolezni lëgkih/tuberkulëz i bolezni lëgkih
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.226
H-Index - 12
eISSN - 2542-1506
pISSN - 2075-1230
DOI - 10.21292/2075-1230-2020-98-7-14-25
Subject(s) - medicine , covid-19 , rank correlation , radiology , lung , computed tomography , correlation , clinical significance , nuclear medicine , mathematics , statistics , geometry , disease , infectious disease (medical specialty)
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 (r s = 0.577) between the growing degree of lung damage, as determined by CT and deterioration of the clinical status of patients.