Imaging aspects (chest radiographic and CT scan findings) of COVID-19 with clinical classifications
Jordan Journal of Biological Sciences
; 15(3):395-404, 2022.
Article
in English
| GIM | ID: covidwho-2040762
ABSTRACT
Chest radiographic (CXR) and chest computed tomography (CT) scans have been used to diagnose coronavirus (COVID-19) disease as an important counterpart to the reverse transcription polymerase chain reaction (RT-PCR) diagnostic protocol. This work explores the application of CXR and CT scans as diagnostic instruments for COVID-19. Numerous databases were searched from 01/01/2020 till 2020 late for COVID-19 articles which documented the clinical features of CXR and CT scans. The documented cases were based on the evaluation of the imaging characteristics. Chest radiographic findings may be confirmed with the most basic CT scans. Peripheral, bilateral and primary ground-glass distortion are the most prominent CT results with COVID-19 infections. In conclusion, unique and ambiguous terms such as pneumonia, blurred opacities, airspace disease, patchy opacities, and infiltrates make it difficult to perceive the different chest radiographic findings.
human diseases; coronavirus disease 2019; viral diseases; pandemics; public health; imagery; thorax; radiography; computed tomography; clinical aspects; diagnosis; diagnostic techniques; reverse transcriptase PCR; literature reviews; lungs; respiratory diseases; pneumonia; lesions; 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; clinical picture; reverse transcriptase polymerase chain reaction; Rt-pcr; lung diseases
Full text:
Available
Collection:
Databases of international organizations
Database:
GIM
Type of study:
Prognostic study
Language:
English
Journal:
Jordan Journal of Biological Sciences
Year:
2022
Document Type:
Article
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