ABSTRACT
Background. Pneumonia is an acute infectious disease in which the respiratory sections of the lungs are affected with obligatory interalveolar exudation and infiltration of the parenchyma in response to the introduction of microorganisms. It is known that pneumonia is a clinical and radiological diagnosis. Chest CT scans are emerging as a useful tool in the diagnostic process of viral pneumonia cases associated with COVID-19. The CT manifestation of this viral pneumonia is non-specific but it has characteristic features based on which experienced radiologists can diagnose the disease. Findings are similar to other viral pneumonias but the localization of the signs is rather typical. Aim: To present the main radiological findings of various types of pneumonia and COVID-19 pneumonia. Methods. Generalized analysis of diagnosis of various types of pneumonia by the radiological method. Results. The study shows the main radiological signs of pneumonia, including Covid-19. A description scheme of chest radiography and an algorithm for diagnosing the main types of pneumonia were also shown. Conclusion. This article presents criteria for determining the severity of the condition of patients with coronavirus infection in accordance with radiological changes in the lung tissue.
ABSTRACT
Introduction: COVID-19 (coronavirus disease-2019) - an infectious disease caused by the virus SARS-CoV-2. According to the WHO, as of September 21, 2021, 228 807 631 cases were confirmed, 4,697,099 deaths. In this regard, the issue of timely diagnosis of COVID-associated pneumonia remains urgent. The "gold standard" for the diagnosis of which is computed tomography (CT). Under the pandemic conditions, the load on CT devices increased exponentially. It is necessary to look for alternative solutions for radiological assessment of lung damage. Standard chest radiography, in comparison with computed tomography, is an inexpensive method available at the patient's bedside and has low radiation exposure. Aim: To analyze various methods for assessing the severity of lung lesions on radiographs in patients with COVID-19 by studying articles in English in the database PubMed, Google Scholar. Search strategy: The selection of articles was carried out in the electronic databases of PubMed, Google Scholar. A total of 843 articles were found, of which 17 articles were included in the review by selection in two stages. Inclusion criteria: 1. Randomized controlled trials, cohort studies. 2. The time period is 2019-2021.3. Articles with free full text. Exclusion criteria: descriptions of clinical cases, studies of a series of clinical cases, systematic reviews.