| Abstrakt: |
Introduction: COVID-19 has profoundly impacted global health systems since its emergence in 2019. The association between various biomarkers and COVID-19 has been investigated, with a particular focus on CRP, ferritin, fibrinogen, and D-dimer levels. Although these biomarkers alone are not diagnostic for COVID-19, their elevation is associated with disease severity and prognosis. In recent years, new horizons have opened in radiology with artificial intelligence and computer software that can obtain quant itative or semi-quantitative data. Instead of visually subjective data scales, technological developments that can now provide clearer numerical data are taking place in our lives. Options include lesion detection, determination of morphological characteri stics, 3D volumetric imaging, and segmentation. The 3D slicer program is completely open free software that can be used to obtain this data and has many medical patch support progr ams. This study aimed to quantitatively evaluate lung parenchymal involvement in COVID-19 patients using 3D Slicer software and correlate it with biochemical parameters. Materials and Methods: In this retrospective analysis of 213 hospitalized patients with COVID-19 pneumonia, this study evaluated CRP, ferritin, and their ratios for disease severity and lung involvement potential. Examining gender differences in biochemical parameters. Results: According to the study results, the study included 54.5% males and 45.5% females. Mean CRP levels were significantly higher in males (88.74±75.78) than in females (68.26±66.07) (p=0.034). Ferritin levels were significantly higher in males than in females (p<0.001). CRP, ferritin, and fibrinogen levels were correlated with lung involvement, indicating prognostic potential. Conclusion: The findings underscore the importance of biochemical markers in assessing disease severity and highlight gender -specific differences in COVID-19 management. However, no significant correlation was found between the ferritin/CRP ratio and lung involvement rates. These insights provide personalized strategies for pandemic control. [ABSTRACT FROM AUTHOR] |
