Characterization of Renal Lesions Using Computed Tomography Imaging

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 .

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APA

Hassan, R (2021). Characterization of Renal Lesions Using Computed Tomography Imaging. Afribary. Retrieved from https://afribary.com/works/characterization-of-renal-lesions-using-computed-tomography-imaging

MLA 8th

Hassan, Roaa "Characterization of Renal Lesions Using Computed Tomography Imaging" Afribary. Afribary, 19 May. 2021, https://afribary.com/works/characterization-of-renal-lesions-using-computed-tomography-imaging. Accessed 25 Jun. 2024.

MLA7

Hassan, Roaa . "Characterization of Renal Lesions Using Computed Tomography Imaging". Afribary, Afribary, 19 May. 2021. Web. 25 Jun. 2024. < https://afribary.com/works/characterization-of-renal-lesions-using-computed-tomography-imaging >.

Chicago

Hassan, Roaa . "Characterization of Renal Lesions Using Computed Tomography Imaging" Afribary (2021). Accessed June 25, 2024. https://afribary.com/works/characterization-of-renal-lesions-using-computed-tomography-imaging