| Autor: |
Klenam Dzefi-Tettey, Emmanuel Kobina Mesi Edzie, Philip Narteh Gorleku, Edmund Kwakye Brakohiapa, Franklin Acheampong, Abdul Raman Asemah, Henry Kusodzi, Patience Sumbawiera Saaka, Ewurama Andam Idun, Adu Tutu Amankwa |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
African Health Sciences; Vol. 22 No. 2 (2022); 63-74 |
| ISSN: |
1680-6905 |
| Popis: |
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 RTPCR 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. Keywords: Computerized Tomography Scan; COVID-19 Pneumonia; Ghana. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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