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Chest radiographs in Coronavirus Disease 2019 (COVID-19)
Med J Malaysia ; 76(2):131-137, 2021.
Article in English | PubMed | ID: covidwho-1141095
ABSTRACT

OBJECTIVES:

To recognize the radiographic patterns of coronavirus disease 2019 (COVID-19) in Malaysia. MATERIALS AND

METHODS:

Chest radiographs of patients confirmed with COVID-19 in Hospital Tawau, Sabah, Malaysia were retrospectively analyzed by two radiologists. The radiographic pattern, distribution among subgroups and evolution of the disease over time were determined.

RESULTS:

Among the 82 patients studied, 65 (79.3%) were males. Mean age of our cohorts was 37 ± 15 years. Baseline chest radiographs were abnormal in 37 patients (45.1%). Over half (52.9%) of the symptomatic patients had abnormal baseline radiograph. Among the children, patients with comorbidities, and patients 60 years of age and above, the abnormal radiographs were 14.3%, 71.4% and 69.3% respectively. Ground glass opacities were the commonest abnormal radiographic feature (35.4%), were peripherally located (35.4%) with predilection for the lower zones (29.3%). Most radiographic abnormalities were multifocal (20.7%) and frequently located in the left lung (19.5%). Radiographic recovery was observed in 15 of 18 patients (83%). Computed tomography (CT) scan demonstrated greater extent of the disease than observed in radiographs of the same patient.

CONCLUSIONS:

COVID-19 pneumonia presented with a specific radiographic pattern in our cohort of patients, comprising of ground glass opacities in peripheral and basilar distribution, affecting a single lung field and was observed in both symptomatic and asymptomatic patients. Chest radiograph is a useful adjunct screening tool, and in combination with clinical and epidemiological assessment may facilitate in early diagnosis of COVID-19 pneumonia.
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Collection: Databases of international organizations Database: PubMed Language: English Journal: Med J Malaysia Year: 2021 Document Type: Article

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Collection: Databases of international organizations Database: PubMed Language: English Journal: Med J Malaysia Year: 2021 Document Type: Article