Post-COVID-19 sequelae in lungs: retrospective computed tomography analysis in selected tertiary care hospitals of Mangalore

Sonali Ullal, Ankita Goyal

Research output: Contribution to journalArticlepeer-review


Purpose: The radiological features of COVID-19 during the active disease process are well established, but the radiological features in the convalescent and post-recovery period of the disease are still unclear. The objectives of this study are to document and assess the proportion of the residual changes in lung post COVID-19 infection and to look for evidence and the proportion of fibrosis post COVID-19 infection on high-resolution computed tomography (HRCT). Material and methods: HRCT thorax of COVID-positive cases done during the disease process and in the recovery/post recovery phase were included in the study. Sample Size: 75. Categorical data are represented in the form of frequencies and proportions. The c2 test was used as a test of significance for qualitative data. Continuous data are represented as mean and standard deviation. A p-value (probability that the result is true) of < 0.05 was considered as statistically significant after assuming all the rules of statistical tests. Results: Initial computed tomography (CT) findings mainly included ground glass opacity (GGO) (93.3%), interlobular septal thickening (66.7%), consolidation (52.0%), and fibrotic bands (8.0%). Ninety-two per cent of the CT scans demonstrated some pulmonary change in the follow-up CT. This was mostly in the form of GGO (58%). Approximately 17% of cases showed fibrotic changes in the follow-up CT. Conclusions: Post-COVID lung sequelae can be present in a significant number of patients. This are mostly seen in patients with severe initial disease and in older patients. Statistically significant post-COVID sequelae changes in-clude GGO, fibrotic bands, and bronchiectasis.

Original languageEnglish
Pages (from-to)e98-e102
JournalPolish Journal of Radiology
Issue number1
Publication statusPublished - 2023

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging


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