Evaluation of COVID 19 by using Computed Tomography

Abstract

Background: The third fatal coronavirus is the novel coronavirus (SARS-CoV-2) that causes novel coronavirus pneumonia (COVID-19) which first broke out in December 2019. Patients will develop rapidly if there is no any intervention, so the risk identification of severe patients is critical. Objective: aimed to evaluate of COVID 19 by using computed tomography. Material and methods: A total of 50 patients who had Chest (HRCT) and confirmed positively with COVID-19 using real time polymerase chain reaction RT-PCR were included in this study. Results: (44 %) were males and (56 %) were females. The age was categorized into three groups, the majority of patients infected with COVID-19 were aged 50 – 60 years old (47 %) and (43 %) have age more than 70 years old aged between 40 to 59 years. The incident of hypertension and diabetes in our patient was high (51%). Where (43 %) of total patients had moderate where (57 %) of them have severe symptoms. Study also found that COVID-19 distributed as GGOs, consolidation with a surrounding halo sign, Bilateral or local patchy shadowing and Interstitial abnormalities in 56 % of patients with COVID-19. there was no significant difference (p value = 0.691 and 0.884 < 0.05, respectively) between gender and age with both medical history and clinical symptoms of patients who infected with COVID-19 where there is a statistical difference in comparing with age groups (p value = 0.000 > 0.05). and there is a statistical difference in correlation between CT findings and age groups (p value = 0.000 > 0.05). Conclusion: Chest CT played an important role in the diagnosis and follow up of COVID-19.