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Journals / Medical Records / 2026 / Cilt: 7 Sayı: 1

Evaluation of COVID-19 Findings on Thoracic CT: Is There any Correlation with Age and Comorbidity?

Nevin Köremezli Keskin(KARABUK UNIVERSITY, SCHOOL OF MEDICINE, DEPARTMENT OF INTERNAL MEDICINE, RADIOLOGY SCIENCE MAJOR)0000-0002-3169-9083
Merve Başdemirci(Karabük Training and Research Hospital, Department of Radiology)0000-0002-8409-9356
Onur Başdemirci(Karabük Training and Research Hospital, Department of Radiology)0000-0003-4833-7377
Aziz Ahmad Hamidi(Fatih Sultan Mehmet Training and Research Hospital, Infectious Diseases and Clinical Microbiology Department)0000-0003-4108-0847
Pages
251–257
Publication Date
2025-01-15
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

These findings underscore the critical role that CT plays in evaluating and managing the severity of COVID-19 pneumonia.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Aim: To share insights gained from low-dose thoracic computed tomography (CT) findings of patients diagnosed with COVID-19.
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Key Findings & Data:Material and Method: One hundred patients having a COVID-19 diagnosis were included in the study's sample.
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Conclusion & Impact:These findings underscore the critical role that CT plays in evaluating and managing the severity of COVID-19 pneumonia.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:COVID-19 · comorbidity · computed tomography

Abstract

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.

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Cite This Article

Keskin, N. K., Başdemirci, M., Başdemirci, O., Hamidi, A. A. (2025). Evaluation of COVID-19 Findings on Thoracic CT: Is There any Correlation with Age and Comorbidity?. Medical Records, Cilt: 7 Sayı: 1, 251–257. https://doi.org/10.37990/medr.1554665

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