Introduction: Due to lack of PCR kits in our area, as well as the extensive dissemination and peaking of COVID-19 since March 2020, our knowledge as radiologists has become increasingly relevant for recognizing CT patterns in order to diagnose and isolate COVID-19-infected patients. In 100 instances, the investigation began with the most prevalent CT chest abnormalities and the CT severity score index in relation to sex. The goal of this study is to better diagnose COVID-19-related lung injuries, enhance the diagnostic accuracy of chest CT scans, and track disease development in Mosul City.
Materials and Methods: From June 2020 to January 2021, one hundred patients were enrolled in this cross-sectional study in Mosul, with 71 males (71%) and 29 females (29%) ranging in age from 15 to 85 years, mean SD (53.2317.80). Non contrast chest CT were done as part of investigation tool on patients were suspected COVID-19 infection.
Results: A radiologist gathered data between 4 and 10 days after the onset of symptoms and evaluated it for lesion pattern, location, and severity. The commonest CT changes (ground glass opacity 55.23%, consolidation 17.44%, broncho vascular thickening 9.88%, crazy paving 5.81% and tree in bud 5.23%) were seen, along with less common pattern (bronchiectasis 1.74%, nodules 2.33%, reversed halo sign and pleural effusion 1.17%), and no lymphadenopathy were seen. Multilobe involvement was detected in 52/100 instances (68.92%), while peripheral affection was seen in 52/100 cases (65%). The higher CT severity score 4 and 5 with male gender were found to have a significant link (P value 0.002).
Conclusion: CT pulmonary are useful as a physician's helper for management and as an excellent predictor of disease severity and patient outcome. In patients with COVID-19 positive infection, the CT scan severity score is highly linked to laboratory findings, hospital stay, and oxygen demands.