فهرست نشریات علمی دسترسی آزاد ایران

Background and Objectives: Anemia is one of the most important health-related challenges worldwide. Unenhanced brain CT scans can be used to correlate dural sinus density with hemoglobin level. This study investigates the predictive capability of dural sinus density, measured through unenhanced CT scans, to evaluate anemia in patients.   Methods: Patients who underwent unenhanced brain CT within 24 hours of hemoglobin test were selected for the study. The density of 5 regions of interest (ROI) in the dural sinuses was obtained and correlation with Hb level was analyzed.   Results: In our study with a sensitivity of 94% and a specificity of 95%, Dural sinus density proves to be an effective screening tool, using 36.5 HU as a cut-off. This cut-off makes for good sensitivity for further evaluation with blood tests. The analysis reveals a strong positive linear correlation between mean Hounsfield units (HU) and hemoglobin (Hb) levels, enabling the formulation of a predictive regression equation (Hb=1.604+(0.309×mean HU)).   Conclusion: Dural sinus density shows a strong relationship to the Hb level .By excluding confounding variables and utilizing a robust methodology, the findings advocate for the integration of automated Hb estimation via AI tools in CT imaging, which could significantly enhance clinical decision-making and patient outcomes. Overall, the study underscores the potential of Dural sinus density as a rapid and non-invasive indicator of anemia, aiming to reduce morbidity and mortality associated with this condition.