Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/12769
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dc.contributor.authorIdress, Alaa Fawzi
dc.contributor.authorGasim-elseed, Eman Abd-alla
dc.contributor.authorBahaidra, Murad Abd-elgader Awad
dc.contributor.authorAlzofi, Saddam Mohammedsagair Ahmed
dc.contributor.authorSupervisor - Abd-alkareem Altaib Mohammed
dc.contributor.authorSupervisor - Abd-alkareem Altaib Mohammed
dc.date.accessioned2016-02-16T11:38:48Z
dc.date.available2016-02-16T11:38:48Z
dc.date.issued2015-10-01
dc.identifier.citationIdress,Alaa Fawzi.Characterization of Urinary Tract Stones in Sudanes Population using Multidetector Computed Tomography/Alaa Fawzi Idress, Eman Abd-alla Gasim-elseed ,Murad Abd-elgader Awad Bahaidra ,Saddam Mohammedsagair Ahmed Alzofi;Abd-alkareem Altaib Mohammed.- Khartoum: Sudan University of Science and Technology, College of Medical Radiologic Sciences,2015.- 73p.:ill;28cm.-BachelorsSearch.en_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/12769
dc.descriptionCDen_US
dc.description.abstractNon-contrast Computed tomography a method for evaluating the stones of urinary system. Together with the measurement of the stone density and size, become an important way of assessing patients with suspected stones. Our purpose in this study was to evaluate the stones of urinary system in patients who came with indication suspected to have urinary stone(s). This study was carried out from Augest to October 2015. The study sample was consisted of 120 patient with flank pain and clearly suspected for KUB stone or other pathological problem there. A MDCT KUB was conducted at Khartoum state medical diagnostic center (Antalya diagnostic center). By the CT KUB we found 100 (83.3%) and 20 (16.7%) patient have stones and patient haven't stone with or without other association respectively. the most affect age group was (40-49), (28), (23.3% ). A significant correlation was noted with the number of stones present in each class as no stone , one stone , two or three stones and found it significant at P= 0.039. these patients also showed other associated finding such as hydornephrosis 61 (50.8%), hydroureter 35 (29.2%), obstruction 35 (29.2%) , and cortical thinning 22 (17.6%) respectively. And we also found a significant correlation between the site of stone with the hydronephrosis, hydroureter, obstructive changes and other findings that we considered it in our study at P = 0.006 , P = 0.001, P = 0.000 and P = 0.018 respectively. The results showed that MDCT KUB can detect the stones of the renal system with its associated morbidity regardless to its site very accurately.en_US
dc.description.sponsorshipSudan University of Sciences and Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science & Technologyen_US
dc.subjectUrinaryen_US
dc.subjectComputed Tomographyen_US
dc.subjectTract Stonesen_US
dc.subjectSudanes Populationen_US
dc.titleCharacterization of Urinary Tract Stones in Sudanes Population using Multidetector Computed Tomographyen_US
dc.typeOtheren_US
Appears in Collections:Bachelor of Medical Radiologic Science

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