ABSTRACT
To determine the liver CT number among Sudanese people using spiral CT.
A designed data sheet was used to collect data from 50 patients refer to CT abdomen , which was done using images of slice thickness (5mm) and slice gap (7-10mm) , three readings were taken from three points in axial cuts.
The mean CT number of liver among the males was found to be 57.24±7.98 HU , and that among females was 56.19±10.77 the mean different was found to be 1.05 which was statically insignificant within p-value of 0.932 .
When the patients age was correlated to the CT number of liver , the relationship was found to be a weak positive relationship with correlation coefficient of r=0.027 , this relationship was found to be statically significant within p-value of 0.932 . The mean of CT number of normal liver among Sudanese patients was found to be 56.90±8.87 HU , the CT number of normal liver is not affected by gender , age affects liver CT number with a weak direct relationship .
Mohamed, H (2021). Determination of CT Number of Normal Liver in Sudanese Population using Computed Tomography. Afribary. Retrieved from https://afribary.com/works/determination-of-ct-number-of-normal-liver-in-sudanese-population-using-computed-tomography
Mohamed, Hassan "Determination of CT Number of Normal Liver in Sudanese Population using Computed Tomography" Afribary. Afribary, 20 May. 2021, https://afribary.com/works/determination-of-ct-number-of-normal-liver-in-sudanese-population-using-computed-tomography. Accessed 18 May. 2024.
Mohamed, Hassan . "Determination of CT Number of Normal Liver in Sudanese Population using Computed Tomography". Afribary, Afribary, 20 May. 2021. Web. 18 May. 2024. < https://afribary.com/works/determination-of-ct-number-of-normal-liver-in-sudanese-population-using-computed-tomography >.
Mohamed, Hassan . "Determination of CT Number of Normal Liver in Sudanese Population using Computed Tomography" Afribary (2021). Accessed May 18, 2024. https://afribary.com/works/determination-of-ct-number-of-normal-liver-in-sudanese-population-using-computed-tomography