Abstract
Background: this study was designed to study of liver diseases using triphasic computed tomographic scan protocol in Sudanese patient whom presents at computer tomography scan department in Kuwaiti specialized hospital when the liver is investigated using computed tomography machine (CT). Methodology: 16 slice GE-Optima (2016) CT scanner was used to scan the 51 patient with liver disease, in period from April 2018 to august 2018 where the time and pattern of enhancement were assessed using stander triphsic protocols where the true angiographic phase was done using SMART prep option used. The data was initially summarization into mean. Stander deviation and percentage in a form comparison table and figure statically analysis was perform using Microsoft excel and stander statistical package for social sciences (SPSS). Result: Out of 51 examined samples (mean age of 54 years male and female ratio (30) (86.8%) (21) (41.2%) were (16) (21.3%) of patients have hepatocellular carcinoma to liver between disease. the accurate time of three phases in exposure time was (8.13-19.6- 8.2s) and delay time was (5.16-88.00-359s). The Computed tomography enable detecting and characterization of liver diseases using the proper timing contrast and protocols.
Al, T (2021). Study Of Liver Diseases Using Triphasic Computed Tomography Scan Protocol. Afribary. Retrieved from https://afribary.com/works/study-of-liver-diseases-using-triphasic-computed-tomography-scan-protocol
Al, Tagred "Study Of Liver Diseases Using Triphasic Computed Tomography Scan Protocol" Afribary. Afribary, 20 May. 2021, https://afribary.com/works/study-of-liver-diseases-using-triphasic-computed-tomography-scan-protocol. Accessed 24 Dec. 2024.
Al, Tagred . "Study Of Liver Diseases Using Triphasic Computed Tomography Scan Protocol". Afribary, Afribary, 20 May. 2021. Web. 24 Dec. 2024. < https://afribary.com/works/study-of-liver-diseases-using-triphasic-computed-tomography-scan-protocol >.
Al, Tagred . "Study Of Liver Diseases Using Triphasic Computed Tomography Scan Protocol" Afribary (2021). Accessed December 24, 2024. https://afribary.com/works/study-of-liver-diseases-using-triphasic-computed-tomography-scan-protocol