In the Early Period (first 1 month) of the Covid 19-SARS-CoV-2 Pandemic, the Guidance of Computerized Tomography in Patient Diagnosis and Its Correlation With PCR Test in Emergency Services

Abstract

Objectives: The first diagnosis in our country for the COVID-19 disease was in March. Rapid and effective diagnostic methods for this disease are important in the management of covid and non-covid patients. With this study, we planned to investigate the compatibility of the use of computed thorax tomography as a screening and diagnostic tool with PCR tests in the early period (first 1 month) of the Covid 19 pandemic. Materials and Methods: Patients over the age of 18 whose chest CT images were taken from possible and positive Covid 19 cases who came to Ankara Etimesgut Şehit Sait Ertürk Hospital Emergency Service in the early period of the Covid 19 pandemic (first 1 month) were included in the study. The study started on 15.05.2021 and ended on 30.05.2021 and a retrospective analysis was made. Statistical analysis of the study was performed with SPSS Version 20.0 program. Results : The study was conducted with a total of 393 patients. Of these, 259 were male and 134 were female. PCR result rates were 45.42/ 46.47. Among the radiological findings, the findings with the highest sensitivity were GGO, atelectasis, presence of nodules, fibrosis, nodule formation and interlobular thickening. Thickness of interlobules and pleural effusion were had the highest PPV. Conclusion: There are radiological findings that can be used in the diagnosis of Covid 19 and they are Thickness of interlobules and pleural effusion.

Keywords

• Covid 19
• PCR
• Torax CT
• Ground Glass Opacity
• Thickness of interlobules

Supporting Institution

None

Ethical Statement

After the approval of the management and administration of Ankara Etimesgut Şehit Sait Ertürk Hospital, ethics committee approval was obtained from Ankara Dışkapı Training and Research Hospital with the decision numbered 113/03 dated 14.06.2021.

Thanks

We would like to thank Dr. Kamber KAŞALİ for his support regarding statistics.

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