FIELD: medicine.
SUBSTANCE: invention refers to medicine, namely to radiation diagnostics, and can be used for prediction of pneumonia caused by SARS-CoV-2 virus. Performing DMS and MSCT of lungs with interval of not more than 24 hours with determination of severity of pulmonary tissue involvement (SDMS) and (SMSCT). Ultrasonic scanning of the lungs is performed in 20 or 16 zones presented in Figures 1 and 2 respectively. Areas with marked interstitial changes and/or consolidations are identified. Marked interstitial changes are determined in the presence of two and more merging B-lines, and/or one or more B-lines not merging with each other, echogenicity of which corresponds to or is higher than the echogenicity of the pleural line and has thickness of 3 mm and more at the point of separation from the pleural line. Based on the obtained data, the lesion area is determined by formula: S=n/N*100, where S is area of pulmonary involvement in %, n is number of zones with detected changes, N is total number of zones on which lungs were separated in DMS. Degree of severity of pulmonary tissue injury is evaluated by DMS (SDMS) and MSCT (SMSCT): if a lesion of up to 25 % of lung area is considered to be "1" degree; from 25 to 50 % "2" degree is determined; from 50 to 75 % "3" degree is determined; from 75 to 100 % "4" degree is determined. Obtained values of SDMS and SMSCT are compared. If SDMS > SMSCT, the negative dynamics of the clinical course is predicted for 2–5 days after DMS and MSCT. If SDMS <SMSCT, a positive clinical course of the disease is predicted for 2–5 days after DMS and MSCT are performed. If SDMS = SMSCT, the lack of dynamics is predicted for 2–5 days after the studies.
EFFECT: method provides objective prediction of the course of COVID-19 pneumonia by collation the DMS and MSCT results by comparing the pulmonary tissue lesions by DMS and MSCT data.
1 cl, 4 ex, 4 tbl, 5 dwg
