Aim: The aim of this study was to investigate the relation between chest HRCT findings and clinical condition of Covid-19 pneumonia. Material and methods: All patients underwent scanning with GE OPTIMA 360 .The acquisition parameters were set at 120 kvp :100-200 mAs pitch 0.75-1.5 and collimation, 0.625-5mm.Ct images were acquired at full inspiration with the patient in supine position Results:24.8 percent of the patients belonged to the age group of 51 to 60 years while 24.7 percent of the patients belonged to the age group of 41 to 50 years. 22.6 percent of the patients belonged to the age group of 30 to 40 years. Mean age of the patients was 47.06 years. Overall comorbidities were seen in 20.7 percent of the patients. Diabetes and hypertension were seen in 17.6 percent and 11.9 percent of the patients respectively. Thyroid abnormalities, COPD and CKD were seen in 2.7 percent, 4.1 percent and 3.8 percent of the patients respectively. Conclusion: In patients with COVID-19 infection, the CT severity score is linked to age, clinical profile, inflammatory laboratory markers, and hospital stay. There exist significant correlations among the degree of pulmonary inflammation and the main clinical symptoms and laboratory results. Computed tomography played an important role in the diagnosis and evaluation of this emerging global health emergency. It also plays an important role in guiding physicians with their management plans and can serve as a predictor of disease severity and outcomes. However; further studies are recommended.