Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/21164
Title: Characterization of Renal Lesions Using Computed Tomography Imaging
Other Titles: توصیف الافات الكلویھ باستخدام التصویر المقطعي
Authors: Ali, Roaa Mohammed Hassan
Supervisor, -Asmaa Ibrahim Ahmed Elamine
Keywords: Medical Radiologic Sciences
Diagnostic Radiologic
Renal Lesions
Computed Tomography Imaging
Issue Date: 30-Apr-2018
Publisher: Sudan University of Science and Technology
Citation: Ali, Roaa Mohammed Hassan . Characterization of Renal Lesions Using Computed Tomography Imaging \ Roaa Mohammed Hassan Ali ; Asmaa Ibrahim Ahmed Elamine .- Khartoum :Sudan University of Science and Technology , Medical Radiologic Science,2018.- 50p : ill ;28 cm .- M.Sc
Abstract: This was a descriptive and analytic study, the main objective of this study was to Characterize Renal Lesions using computed tomography. The study was conduct at the Al zytuona Hospital and altamyouz center for emergency During the period from February 2018 to march 2018, Data was collected from patients referred to the computed tomography scan department . the study included (50) patients from different ages , male and female having different renal lesions . study has come out with many result including that The renal lesions most common in male (60%) than female (40%), The most effected group between (41-60) years ,the most common lesions to be found was stone (46%), cyst (36%) , mass (10%)cyst+mass(8%) respectively, Common site of renal lesion at the region of lower pole (50%) , Cortex (22%) , Upper pole (16%) , Middle pole (12%) respectively . Therefore Radiological examination alone is most suitable in order to diagnose the normal and abnormal appearance and structure.The study recommended that Computed tomography should applied as a best tool to diagnosis renal lesion. So it is provide measurement ct number,teture, and shape of the lesion .
Description: Thesis
URI: http://repository.sustech.edu/handle/123456789/21164
Appears in Collections:Masters Dissertations : Medical Radiologic Science

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