Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/2162
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dc.contributor.authorElhaj, Isam Eddin Fadl Elmoula
dc.contributor.authorSupervisor - Bushra Hussein Ahmed
dc.date.accessioned2013-11-10T13:50:50Z
dc.date.available2013-11-10T13:50:50Z
dc.date.issued2009-07-01
dc.identifier.citationElhaj,Isam Eddin Fadl Elmoula. Diagnosis of Polycystic Kidney Disease using CT and Ultrasound /Isam Eddin Fadl ElmoulaElhaj;Bushra Hussein Ahmed .- Khartoum : sudan university of science and technology,Medical Radiologic Science,2009.-73p. : ill .;28cm .- M.Sc.en_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/2162
dc.descriptionThesisen_US
dc.description.abstractThis is a comparative study concerned with the diagnosis of autosomal dominant polycystic kidney disease in adults Sudanese patients by using CT scan and ultrasound . The study employed a simple methodology, including data collection from medical imaging using the tow modalities prospectively . Random samples of twenty patients ( males and females ). they were scanned with ultrasound and ten of them were then scanned with CT scan as requested by their clinicians , data was statistically analyzed and findings were tabulated, computed and graphically represented. The results were interpreted by different Radiologists for both modalities confirmed that the presence of the disease associations and complications been presented by these modalities . The study showed that CT is higher than U/S in detecting some of ADPKD findings likes ; very small hepatic cysts ( 80% ) in CT and (30%) in U/S , splenic cysts ( 10%) in CT and ( 0%) in U/S and pancreatic cysts (30%) in CT and (10%) in U/S .en_US
dc.description.sponsorshipsudan university of science and technologyen_US
dc.language.isoenen_US
dc.publishersudan university of science and technologyen_US
dc.subjectDiagnosisen_US
dc.subjectDiseaseen_US
dc.titleDiagnosis of Polycystic Kidney Disease using CT and Ultrasounden_US
dc.typeThesisen_US
Appears in Collections:Masters Dissertations : Medical Radiologic Science

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