Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/4414
Title: Diagnosis of Renal Failure Using Ultrasound and Renal Radioistope Scan
Authors: Ali, Saad Eldien Mohammed
Supervisor-Anas Osman Ahmed Hamdoun
Keywords: Diagnosis
Ultrasound
Issue Date: 1-Jan-2007
Publisher: sudan university of science and technology
Citation: Ali,Saad Eldien Mohammed.Diagnosis of Renal Failure Using Ultrasound and Renal Radioistope Scan/Saad Eldien Mohammed Ali; Anas Osman Ahmed Hamdoun.-Khartoum : sudan university of science and technology, Medical Radiologic Sciences,2007. -73p. : ill . ;28cm.- M. Sc.
Abstract: In this study the researcher assessed the effectiveness of ultra- sound and nuclear medicine images in diagnosis of renal failure and compared between two images modalities (nuclear medicine and ultra sound), when they are applied for the same cases. This study is conducted in INMO nuclear medicine department and renal hospital. Random sample of thirty patients, 16 males and 14 females with different ages were chosen, ultra sound and nuclear medicine images done to demonstrate renal failure.Most of these cases, were diagnosed correctly by the two imaging modalities, while 6 patients were diagnosed only by nuclear medicine. The sensitivity of nuclear medicine is 96% and ultrasound 80% .On the other hand we found that the ultrasound and nuclear medicine have the same specificity and accuracy (100%). From these results we concluded that ultra sound has a role in the diagnosis of renal failure but nuclear medicine scanning is more sensitive. However, because ultrasound is good in assessing morphological changes (e.g renal failure due to bilateral renal stones) and nuclear medicine is good in assessing function, both imaging modalities when performed together help to obtain accurate morphological and functional changes (i.e. they are complimentary rather than competitive).
Description: Thesis
URI: http://repository.sustech.edu/handle/123456789/4414
Appears in Collections:Masters Dissertations : Medical Radiologic Science

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