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2 →- ArticleYayıncıda açık erişim2022Evaluation of thorax computed tomographic findings in COVID-19 variant cases
Gökharman, F. Dilek; Ertem, Günay Tuncer; Aydın, Sonay; Büyükdemirci, Ayşe; Yüksekkaya, Esra; Tokur, Oğuzhan; Koşar, Pınar N.
Background: Because of genetic mutations occurring during viral replication, new SARS-CoV-2 variants will continue to emerge. Throughout the COVID-19 pandemic, thorax computed tomographic (CT) findings have played a crucial role in the diagnosis and follow-up of patients with COVID-19. In this study, we compared the thorax CT findings of patients infected with SARS-CoV-2 variants (variant group) with those of patients infected with the non-variant strain (non-variant group) to assess if thorax CT findings may be utilized to discriminate between the groups. Furthermore, we compared demographic and laboratory data between the groups. Methods: The study comprised a total of 77 patients who presented to our hospital with a preliminary diagnosis of COVID-19 based on clinical symptoms, a positive oropharyngeal/nasopharyngeal swab RT-PCR testing, and thorax CT examinations. Patients' laboratory and demographic features as well as thorax CT findings were retrospectively evaluated, and the results were grouped according to RT-PCR results. Results: There were 42 patients in the non-variant group and 35 patients in the variant group. The average age of patients infected with the non-variant strain, alpha variant, and gamma variant was 63.52 ± 14.87 years, 54.86 ± 14.31 years, and 59.4 ± 17.79 years, respectively. The average age of the variant group was significantly lower than that of the non-variant group. There was no significant difference in thorax CT findings between the groups, and consolidation, ground glass densities, and cobblestone pattern in the bilateral lower lobes and peripheral areas were the most common thorax CT findings in both the groups. Conclusion: There is no significant difference in thorax CT findings between the variant and non-variant groups. Therefore, clinical and laboratory characteristics should take precedence over thorax CT findings for distinguishing between patients infected with SARS-CoV-2 variants and the non-variant strain.
RDL Kalıcı Kaydıİncele - ArticleYayıncıda açık erişim2021Computed tomography at every step: Long coronavirus disease
Aydin, Sonay; Unver, Edhem; Karavas, Erdal; Yalcin, Seven; Kantarci, Mecit
Background: Some patients continue to experience symptoms related to Coronavirus disease (COVID-19) after the acute phase of infection. Imaging studies, especially computed tomography (CT) of the chest, have gained importance since the beginning of the pandemic. CT can help diagnose COVID-19, assess the extent of pulmonary involvement, and predict the disease severity. We aimed to define the frequency of persistent symptoms and correlate their presence with the results of laboratory findings and the severity of the disease based on the findings of chest CT. Methods: We examined patients discharged from the hospital after treatment for COVID-19 and whose nasopharyngeal swab sample tested positive for severe acute respiratory syndrome coronavirus 2 after at least 4 weeks from the initial diagnosis. The patients were asked about the presence of persisting symptoms. In addition to the demographic data, laboratory results and severity levels seen on the chest CT were recorded. Results: In all, 116 patients were included in the study, of which 61 reported at least one persisting symptom (52.5%). The mean age of the study population was 48.90 ± 17.74 years. The persistent symptoms included shortness of breath, chest pain, cough, muscle weakness, dizziness, headache, fatigue, and palpitations. The mean CT severity score was 3.80 ± 0.38 and it was lower in patients without any persistent symptoms. Conclusions: Levels of C-reactive protein and fibrinogen, anemia, and female sex were associated with some of the persistent symptoms., the severity of the disease seen on CT was a successful predictor for the disease severity/prognosis and was also correlated with prolonged COVID infection and more persistent symptoms.
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Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| creativeworkseries.issn | 2212-5345 | |
| creativeworkseries.issn | 2212-5353 | |
| dc.date.accessioned | 2026-10-20T15:37:59.948568009Z | |
| dc.date.available | 2026-10-20T15:37:59.948568009Z | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/ebyu/24156 | |
| dc.publisher | Elsevier B.V. | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.title | Respiratory Investigation | |
| dspace.entity.type | Journal |
