E. Aktas, T. Seber, U. Cagir, T. Uylar Seber, D. Kamalak Guzel, A. Savranlar, T.T. Tokmak, I. Celik

Department of Radiology, Ankara Oncology Education and Research Hospital, Ankara, Turkey. elifaktasmd@gmail.com

OBJECTIVE: This study aimed to demonstrate the relationship between thorax computed tomography (CT) findings at the time of admission and prognosis using a semiquantitative CT severity scoring system in patients diagnosed with coronavirus disease 2019 (COVID-19) who tested positive for reverse transcriptase polymerase chain reaction (RT-PCR).

PATIENTS AND METHODS: A total of 305 patients aged 18 years and older who were diagnosed with COVID-19 confirmed by RT-PCR and underwent thorax CT at the time of admission, were included in the study between March and July 2020. The demographic data of the patients, their presenting complaints at the time of admission, RT-PCR results, and thorax CT images were scanned retrospectively from electronic medical records. Lesions on thorax CT were evaluated for the presence of ground glass opacity, consolidation, and septal thickening and scoring.

RESULTS: No significant relationship was found between mortality and CT score or other parameters. A significant relationship was found between admission to the intensive care unit and CT scoring (p=0.014), aortic diameter (p=0.032), chronic pulmonary disease (p=0.004), halo sign (p=0.031), mortality (p<0.001), fever (p=0.038), and dyspnea (p=0.031). A statistically significant difference was detected in the score parameter between discharged patients and intensive care unit patients who survived and those who died (p<0.001). In the parameter of the number of lobes, a statistically significant difference was found only between discharged patients and intensive care unit patients who survived (p=0.016).

CONCLUSIONS: Thorax CT is an advisor for early diagnosis, treatment, and prognosis assessment of the disease. Semiquantitative CT severity scoring can provide valuable information about the prognosis of the patient.

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

E. Aktas, T. Seber, U. Cagir, T. Uylar Seber, D. Kamalak Guzel, A. Savranlar, T.T. Tokmak, I. Celik
The relationship between thorax computed tomography findings and prognosis in patients diagnosed with COVID-19

Eur Rev Med Pharmacol Sci
Year: 2023
Vol. 27 - N. 22
Pages: 10839-10844
DOI: 10.26355/eurrev_202311_34450