Official publication of Rawalpindi Medical University
Correlating CT Chest with RT-PCR in Diagnosing COVID-19: Experience at a Tertiary Health Care Hospital in Pakistan
PDF

How to Cite

1.
Riffat Raja , Maria Khaliq , Muhammad Imran Khan , Nasir Khan , Khoala Riaz , Sadaf Arooj RR , MK , MIK , NK , KR , SA. Correlating CT Chest with RT-PCR in Diagnosing COVID-19: Experience at a Tertiary Health Care Hospital in Pakistan. JRMC [Internet]. 2022 Jun. 30 [cited 2024 Apr. 19];26(2-S1). Available from: https://www.journalrmc.com/index.php/JRMC/article/view/1887

Abstract

Objective: To establish the accuracy of computed tomography(CT) chest in the diagnosis of COVID-19 pneumonia by taking reverse transcriptase-polymerase chain reaction(RT-PCR) as a reference standard and to analyze discordant CT chest and RT-PCR results.

Materials and Methods: A retrospective cross-sectional study of patients presented to a tertiary health care hospital in Punjab, Pakistan for CT examination with suspicion of COVID-19 from April 1, to June 30, 2020. Each CT chest was categorized as positive/negative for COVID-19 pneumonia and the results were compared with the RT-PCR test. Discordant CT chest and PCR results were also investigated.

Results: The study population had a mean age of 48 years ± 6.6 years with 54.5% males and 45.4% females. Sensitivity(Sn), specificity (Sp), positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy of CT in diagnosing COVID-19 pneumonia taking RT- PCR as the gold standard was 92.5%, 46.6%%, 82.2%, 70%, and 80% respectively.

Conclusion: CT chest has high sensitivity but modest specificity in the diagnosis of COVID-19 pneumonia. It can be employed as an adjunctive screening and diagnostic test for early diagnosis of disease in places where disease prevalence is high.

https://doi.org/10.37939/jrmc.v1i1.1887
PDF
Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Copyright (c) 2022 Riffat Raja , Maria Khaliq , Muhammad Imran Khan , Nasir Khan , Khoala Riaz , Sadaf Arooj