Imaging patterns and clinical correlates of COVID-19 pneumonia: a cross-sectional study using high-resolution computed tomography
Abstract
BACKGROUND: Unknown etiology pneumonia cases were discovered in Wuhan, China in December 2019. These cases are now referred to as coronavirus illness 2019, and the coronavirus is characterized as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). High-resolution computed tomography (HRCT) is an important imaging modality that can help with COVID-19 patient diagnosis and care.
OBJECTIVE: To assess the imaging patterns of lung involvement of COVID-19 pneumonia on HRCT in suspected COVID-19 patients in Northwest General Hospital and Research Center Peshawar.
METHODOLOGY: It was a cross-sectional study conducted in the Radiology Department, Northwest General Hospital Research Center from 30th March 2020 to 30th June 2021. This study included 80 suspected Covid-19 patients. HRCT of these patients was performed on 16 slices Toshiba Multidetector Computed Tomography (MDCT) scanner in the Radiology Department of Northwest General Hospital and Research Centre.0.5mm reconstructed images in lung window and 3mm images in the mediastinal window were viewed on the workstation in axial, coronal and sagittal planes. The data was processed using SPSS version 16.0
RESULTS: We included 80 suspected COVID-19 pneumonia patients who presented to our department with or without symptoms of chest infection or fever. They were considered for our study irrespective of age group and gender. We found that a great number of patients (41.2%) were symptomless, despite lung parenchymal…
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 19 participants or records.
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