Remote results of the course of non-acute viral pneumonia COVID-19 according to computed tomography

Abstract

Objective — to study the dynamics of changes in the structure of the lungs in patients with a complicated course of non-hospital viral pneumonia COVID-19 by programmatic processing of computed tomography (CT) scan data and to determine the features of changes to predict its course.
 Materials and methods. The dynamics of these CT scan 70 patients for non-hospital pneumonia of viral etiology (COVID-19) was analyzed. The diagnosis of COVID-19 was established in accordance with the current protocols for the treatment of coronavirus disease. CT scan was performed on the scanner Aquilion TSX-101A Tochiba (Japan) with the recording of the results on digital media with their subsequent software processing. 
 Results and discussion. Of the 70 patients for non-hospital pneumonia of viral etiology (COVID-19), 21 patients (15 men and 6 women) were diagnosed with «disappearing lung syndrome», which accounted for 30 % of all those examined. Cases of the formation of massive fibrous post-inflammatory changes were not detected.We performed software processing of CT data of patients’ OGC in dynamics during 6—12 months. On average, control CT scans of the OGC were performed every 2—3 months. At the same time we determined the peculiarities of densitometric indexes dynamics, according to which we could predict the course of non-hospital pneumonia of viral etiology (COVID-19).
 Conclusions. Given the high percentage of diagnosis of «disappearing lung syndrome» caused by the autoimmune process in patients with complicated non-hospital viral pneumonia COVID-19, it is necessary to develop methods for its treatment. In order to diagnose complications, prevent them and predict the course of severe forms of pneumonia pneumonia COVID-19, it is necessary to conduct a CT scan in dynamics with densitometric examinations of the pulmonary parenchyma.