Aim: To share insights gained from low-dose thoracic computed tomography (CT) findings of patients diagnosed with COVID-19. Additionally, we aimed to evaluate the correlation between the observed CT findings, CT severity index, patient age, and the presence of comorbid conditions.
Material and Method: One hundred patients having a COVID-19 diagnosis were included in the study's sample. We meticulously reviewed the thoracic CT image characteristics, the lung severity index, and various clinical data related to the patients. The relationships between these factors were then analyzed to draw meaningful conclusions.
Results: The study included 100 patients, consisting of 67 men and 33 women. Among these patients, 30 had at least one underlying comorbid condition, with hypertension being the most prevalent. CT scans were positive in 65 patients. Within this group, 60 patients (93.3%) exhibited ground-glass opacities (GGO), 27 patients (41.5%) showed signs of consolidation, 22 patients (33.8%) had both GGO and consolidation, and 8 patients (12.3%) displayed the crazy paving pattern. The total lung severity score (TLSS) ranged from 0 to 19, with mean score of 3.11±3.71. Each lung lobe was systematically evaluated for the extent of involvement. We found a statistically significant relationship indicating that increasing age correlated with higher grades of lung involvement. Furthermore, significant association was noted between presence of comorbidities and the lung involvement grades. Our analysis revealed a moderate positive correlation between CT lung involvement grade and patient age, alongside a weaker positive correlation between the lung involvement grade and comorbid conditions.
Conclusion: CT imaging has proven to be important tool in managing patients suspected of or confirmed to have COVID-19. Notably, the CT lung severity grade was significantly elevated in patients over 65 years and those with comorbidities. These findings underscore the critical role that CT plays in evaluating and managing the severity of COVID-19 pneumonia.
COVID-19 comorbidity computed tomography computed tomography lung severity grade
| Birincil Dil | İngilizce |
|---|---|
| Konular | Radyoloji ve Organ Görüntüleme |
| Bölüm | Klinik Araştırma |
| Yazarlar | |
| Gönderilme Tarihi | 23 Eylül 2024 |
| Kabul Tarihi | 11 Aralık 2024 |
| Yayımlanma Tarihi | 15 Ocak 2025 |
| Yayımlandığı Sayı | Yıl 2025 Cilt: 7 Sayı: 1 |
Chief Editors
Prof. Dr. Berkant Özpolat, MD
Department of Thoracic Surgery, Ufuk University, Dr. Rıdvan Ege Hospital, Ankara, Türkiye
Editors
Prof. Dr. Sercan Okutucu, MD
Department of Cardiology, Ankara Lokman Hekim University, Ankara, Türkiye
Assoc. Prof. Dr. Süleyman Cebeci, MD
Department of Ear, Nose and Throat Diseases, Gazi University Faculty of Medicine, Ankara, Türkiye
Field Editors
Assoc. Prof. Dr. Doğan Öztürk, MD
Department of General Surgery, Manisa Özel Sarıkız Hospital, Manisa, Türkiye
Assoc. Prof. Dr. Birsen Doğanay, MD
Department of Cardiology, Ankara Bilkent City Hospital, Ankara, Türkiye
Assoc. Prof. Dr. Sonay Aydın, MD
Department of Radiology, Erzincan Binali Yıldırım University Faculty of Medicine, Erzincan, Türkiye
Language Editors
PhD, Dr. Evin Mise
Department of Work Psychology, Ankara University, Ayaş Vocational School, Ankara, Türkiye
Dt. Çise Nazım
Department of Periodontology, Dr. Burhan Nalbantoğlu State Hospital, Lefkoşa, North Cyprus
Statistics Editor
Dr. Nurbanu Bursa, PhD
Department of Statistics, Hacettepe University, Faculty of Science, Ankara, Türkiye
Scientific Publication Coordinator
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