Signal Quantification of Intravenous Contrast Media Enhancement From Biphase Liver CT Scan Procedures

Rawa Khaled Abed Almajeed Alqam
رواء خالد عبدالمجيد علقم
Journal Title
Journal ISSN
Volume Title
Al-Quds University
Computed Tomography (CT) is a diagnostic imaging technique that produces comprehensive images of skeletons, arteries, veins, tissues of the body, and organs inside the body. This imaging program MSc thesis concentrated on contrast agent (CA) assessed to the region of interest (ROI) in CT image. It was compared with automated bolus monitoring with a fixed time delay technique of contrast enhancement in multi-detector computed tomography (MDCT) during abdominal and pelvic CT treatments using an intravenous (IV) CA. During this investigation, all variables impacting contrast enhancement were collected, including patient characteristics such as body weight, cardiac output, and contrast injection settings. The sample for this study was split into two groups: 100 retrospective and 43 prospective patients. Hounsfield Unit was measured before administering the CA, and it was also measured 30 seconds and 70 seconds after administering the CA in the first group. This group contained 50 patients from a government hospital and another 50 patients from an Non-Governmental hospital. The second group collected patient information, which included the patient's age, weight, heart rate, systolic and diastolic blood pressure, and Creatinine level. HU values were measured before and after the CA was administered at a time estimated by the radiographic technologist based on the HU values reaching 120. The HU values in both groups were analyzed to determine the differences between both HU measurements and to develop an equation for predicting imaging time when employing the automated bolus monitoring technique. The study's findings revealed that there is no difference in age between males and females in all sample patients, and the predictors of the Bolus Time Equation dealt with patient weight, heart rate, Creatinine level, and systolic blood pressure, where the percentage of dependence on these variables was up to 34.9%, and the effect of each variable in the equation had a value of up to 59.1%. The ANOVA test demonstrated that this equation can be relied upon, as the result was p = 0.002. When the equation was used, the findings revealed no discrepancies between the Bolus Time value gathered in the study and the Bolus Time utilizing the equation, with a p-value of (0.992 > 0.05). The HU rate differed significantly between the first group and the second group, where the p-value was 0.00. The research indicated that using bolus monitoring resulted in a wide range of enhancements compared to when fixed-time was used, and the bolus tracking produced better improvement results than fixed-time