- Author:
Mohana Letchumanan
1
;
Adi Afiq Bin Md Anour
1
;
Shubash Shander Ganapathy
2
;
Syaman Harry
1
;
Nik Shah Hizan Binti Nik Lah
1
;
Norlimah Binti Arsad
3
,
4
;
Nur Farhana Binti Ahmad Fisol,
5
Author Information
- Publication Type:Journal Article
- Keywords: COVID-19; Malaysia; chest radiograph; computed tomography
- From: The Medical Journal of Malaysia 2021;76(2):131-137
- CountryMalaysia
- Language:English
- 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.