Methods for assessing severity of lung lesion on radiographs in COVID-19: literature review
Science & Healthcare
; 23(5):13-22, 2021.
Article
in Russian
| GIM | ID: covidwho-1623030
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.
human, diseases; literature, reviews; exposure; pandemics; pneumonia; radiography; randomized, controlled, trials; systematic, reviews; thorax; coronavirus, disease, 2019; viral, diseases; man; Severe, acute, respiratory, syndrome, coronavirus, 2; Homo; Hominidae; primates; mammals; vertebrates; Chordata; animals; eukaryotes; Severe, acute, respiratory, syndrome-related, coronavirus; Betacoronavirus; Coronavirinae; Coronaviridae; Nidovirales; positive-sense, ssRNA, Viruses; ssRNA, Viruses; RNA, Viruses; viruses; SARS-CoV-2; viral, infections
Full text:
Available
Collection:
Databases of international organizations
Database:
GIM
Type of study:
Prognostic study
/
Reviews
Language:
Russian
Journal:
Science & Healthcare
Year:
2021
Document Type:
Article
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