Pattern of chest computerized tomography scan findings in symptomatic RT-PCR positive Covid-19 patients at the Korle Bu Teaching Hospital, Ghana.
Afr Health Sci
; 22(2): 63-74, 2022 Jun.
Article
em En
| MEDLINE
| ID: mdl-36407396
ABSTRACT
Background:
Chest Computerized Tomography (CT) features of Corona Virus Disease 2019 (COVID-19) pneumonia are nonspecific, variable and sensitive in detecting early lung disease. Hence its usefulness in triaging in resource-limited regions.Objectives:
To assess the pattern of chest CT scan findings of symptomatic COVID-19 patients confirmed by a positive RT-PCR in Ghana.Methods:
This study retrospectively reviewed chest CT images of 145 symptomatic RT-PCR positive COVID-19 patients examined at the Radiology Department of the Korle Bu Teaching Hospital (KBTH) from 8th April to 30th November 2020. Chi-Squared test was used to determine associations among variables. Statistical significance was specified at p≤0.05.Results:
Males represent 73(50.3%). The mean age was 54.15±18.09 years. The age range was 5 months-90 years. Consolidation 88(60.7%), ground glass opacities (GGO) 78(53.8%) and crazy paving 43(29.7%) were the most predominant features. These features were most frequent in the elderly (≥65years). Posterobasal, peripheral and multilobe disease were found bilaterally. The most common comorbidities were hypertension 72(49.7%) and diabetes mellitus 42(29.2%) which had significant association with lobar involvement above 50%.Conclusion:
The most predominant Chest CT scan features of COVID-19 pneumonia were GGO, consolidation with air bronchograms, crazy paving, and bilateral multilobe lung disease in peripheral and posterior basal distribution.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Pneumonia
/
COVID-19
Tipo de estudo:
Diagnostic_studies
/
Observational_studies
/
Risk_factors_studies
Limite:
Adult
/
Aged
/
Humans
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Infant
/
Male
/
Middle aged
País/Região como assunto:
Africa
Idioma:
En
Revista:
Afr Health Sci
Assunto da revista:
MEDICINA
/
SERVICOS DE SAUDE
Ano de publicação:
2022
Tipo de documento:
Article