الفهرس 
Anatomy of lungsOnly 14 pages are availabe for public view
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Abstract
Context: Quantitative and semi-quantitative indicators of lung involvement in covid -19 patients could help to stratify the patients and thus help in triaging and speeding up the entire workflow in hospitals as patients with higher severity scores require early therapeutic intervention and critical care. Objective: To calculate Computed Tomography (CT) severity score for COVID -19 infection based on lobar involvement of the disease and correlate the score with oxygen saturation levels (SpO2) of the patients and further predict oxygen therapy requirements. Type of study: prospective descriptive study. Methods and material: this prospective study was done on 100 proven novel coronavirus (SARS-COV-2) infected (COVID-19) patients were subjected to laboratory investigations and oxygen saturation (SpO2) values .all the scans were reviewed and semi-quantitative CT score was calculated based on the extent of lobar involvement. Data management and Statistical Analysis: All data were collected, tabulated and statistically analyzed using statistical package of special science SPSS version 22 (SPSS Inc. Chicago, IL, U.S.A). Results: there was statistically significant increase of CT score in severe disease compared to mild severity (p<0.001).
There was statistically significant increase of CT score in cases with decreased O2 saturation compared to those with normal O2 saturation (p= 0.041). Conclusion: In our study we found that CT can be a useful tool for quick analysis of COVID-19 patients and stratifying the patients as well
Summary
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as its strong correlation with oxygen saturation helping to predict the requirement of the oxygen therapy during their course of disease and hence, so these patients require vigilant and close monitoring.