1 research outputs found
Followâup the severity of abnormalities diagnosed in chest CT imaging of COVIDâ19 patients: A crossâsectional study
Abstract Background and Aims This study aimed to evaluate the severity of diagnosed lung abnormalities of coronavirus disease 2019 (COVIDâ19) patients based on the preâand postrecovery followâup chest computed tomography (CT) scan findings done at regular intervals. Methods This crossâsectional study was performed in three phases. The severity of lung abnormalities was recorded and compared based on the initial and followâup chest CT findings carried out preâand at regular intervals (3 and 6 months) of postrecovery of COVIDâ19 patients. Statistical data analysis was conducted using SPSSâVersion 26. Pearson Chiâsquare test was used to analyze the results. pâvalueâ<â0.05 was considered statistically significant. Results Regarding the initial chest CT findings, although groundâglass opacity (GGO) was observed as the most common lung lesion, almost all the evaluated COVIDâ19 patients had multiple lung lesions and involvements, especially with more involvement of the lower lobes. concerning the frequency of lung lesions and involvements in all phases of the study, almost no statistically significant differences were observed between male and female COVIDâ19 patients and different age groups. However, older age groups had relatively more lung abnormalities due to Covidâ19 based on initial CT images which take more time to be eliminated. Lung abnormalities of Covidâ19 patients decreased significantly during the follow ups based on chest CT findings at different study phases. Conclusion According to evaluated preâ and postârecovery chest CT scans, the frequency of lung lesions and lung involvement distribution decreased significantly in COVIDâ19 patients, 3 and 6 months after recovery, and most of the recovered patients had no lung lesions or involvement anymore