Quantitative Evaluation of The Severity Index of Lung Parenchymal Involvement in Covid 19 Disease By Computed Tomography And Its Relation To Biochemical Parameter
Mehmet Maruf AydınDepartment Of Radiology, University Of Health Sciences, Samsun Health Practice And Research CenterINTRODUCTION: 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 quantitative or semi-quantitative data. The 3D slicer program is completely open free software that can be used to obtain this data and has many medical patch support programs.
This study aimed to quantitatively evaluate lung parenchymal involvement in COVID-19 patients using 3D Slicer software and correlate it with biochemical parameters.
METHODS: In a 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.
DISCUSSION AND 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.
Manuscript Language: English