Evaluation of an association of radiological findings and severity of the disease in patients with the new coronavirus infection (COVID-19)

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Rationale: Interpretation of lung abnormalities identified by computed tomography (CT) in patients with COVID-19 could be controversial in some cases. At present, there is no highly reliable algorithm for assessment and prediction of the disease coursed based on CT findings.

Aim: To identify an association of the radiological findings in COVID-19 and its clinical manifestations.

Materials and methods: This observational retrospective cohort study included 92 patients, categorized into three groups according to their clinical severity (mild COVID-19 29 patients, moderate COVID-19 33 patients, and severe COVID-19 30 patients). Chest CT was performed in all patients at admittance to the hospital and at day 10 of their hospital stay.

Results: Almost all patients with severe COVID-19 (28 patients, 96.6%) demonstrated an increase in the damaged lung parenchyma volume at the second CT. The risk of clinical deterioration in these patients was 15.037-fold higher, compared to that in the patients with a  stable volume of lung lesions. The area of pulmonary lesions at the first CT demonstrated its good prognostic ability (ROC area under the curve 0.831, sensitivity 87.5%, specificity 70.0%, p<0.001) to predict clinical deterioration. The presence of bronchial dilation in the total patient group significantly (p<0.01) correlated with an increase of the pulmonary lesion area. Clinical deterioration was found in 5 patients (62.5%) with bronchial dilatation.

Conclusion: CT patterns in COVID-19 patients do not always correlate with clinical severity of the disease. Therefore, lung CT cannot be used for prediction of the COVID-19 course as a  single method without clinical and laboratory assessments.

About the authors

A. D. Strutynskaya

Russian Medical Academy of Continuous Professional Education

Author for correspondence.
Email: strutynskaya@yandex.ru
ORCID iD: 0000-0001-9325-5587

Anastasia D. Strutynskaya – Postgraduate Student, Chair of Roentgenology and Radiology, Faculty of Surgery

2/1–1 Barrikadnaya ul., Moscow, 125993, Russian Federation

Russian Federation

D. S. Koshurnikov

Hospital for War Veterans No. 3

Email: fake@neicon.ru
ORCID iD: 0000-0002-7024-9560

Dmitry S. Koshurnikov – MD, PhD, Head of Department of Roentgenology

4 Startovaya ul., Moscow, 129336, Russian Federation

Russian Federation

I. E. Tyurin

Russian Medical Academy of Continuous Professional Education

Email: fake@neicon.ru
ORCID iD: 0000-0003-3931-1431

Igor E. Tyurin – MD, PhD, Head of Chair of Roentgenology and Radiology, Faculty of Surgery

2/1–1 Barrikadnaya ul., Moscow, 125993, Russian Federation

Russian Federation

M. A. Karnaushkina

Peoples' Friendship University of Russia

Email: fake@neicon.ru
ORCID iD: 0000-0002-8791-2920

Maria A. Karnaushkina – MD, PhD, Professor, Chair of Internal Medicine with a Course of Cardiology and Functional Diagnostics named after Academician V.S. Moiseev

6 Miklukho-Maklaya ul., Moscow, 117198, Russian Federation

Russian Federation


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Copyright (c) 2021 Strutynskaya A.D., Koshurnikov D.S., Tyurin I.E., Karnaushkina M.A.

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