Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/25690
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dc.contributor.authorSiddig, Hoyam Ishag-
dc.contributor.authorSupervisor, -Ahmed Mostafa Abukonna-
dc.date.accessioned2021-02-18T10:55:56Z-
dc.date.available2021-02-18T10:55:56Z-
dc.date.issued2020-10-12-
dc.identifier.citationSiddig, Hoyam Ishag . Characterization of Urinary Tract Stones in Kassala State using Multi-detector Computed Tomography \ Hoyam Ishag Siddig ; Ahmed Mostafa Abukonna .- Khartoum:Sudan University of Science and Technology,College of Medical Radiologic Science,2020.- 61p.:ill.;28cm.-M.Scen_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/25690-
dc.descriptionThesisen_US
dc.description.abstractNon-contrastComputedtomographyis amethodforevaluatingthestonesofurinary system. Together with the measurement of the stone density and size, become an important way of assessing patients with suspectedstones. Theaim of this study was to evaluate the urinary system stones in patients who came with indication suspected to have urinary stone(s).The study sample was consisted of 100 patients with flank pain and clearly suspected for KUB stone or other pathological problem. A CT KUB was conductedatKassalastate. BytheCTKUBwefoundthemajority(91%)ofpatientsdeveloped(1-2)stones,the most stones located at pelvis (42%), lower calyces (21%) or mid ureter (10%) on either right site (43%) or left site (40%), since most of patients developed mild (28%) or moderate (36%) of Hydronephrosis and mostly (80%) negative Hydro- ureter, and The most common stone type (according to CT number ) cystine stones followed by struvite stones. For stone diameters, the sample found that the stone density was (386-1594)Hounsfield unit (HU) with mean 946.49±244.55, (3-33.5)withmean 10.33±6.73 X-size and (3-53.5) with mean14.28±9.48 Y-size.The results found that the stone site and its number are significantly associate with age (P-value < 0.05), while neither Hydronephrosis nor Hydroureter depend on stone site (P-value > 0.05).en_US
dc.description.sponsorshipSudan University of Science & Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science and Technologyen_US
dc.subjectMedical Radiologic Sciencesen_US
dc.subjectDiagnostic Radiological Imagingen_US
dc.subjectUrinary Tract Stonesen_US
dc.subjectMulti-detector Computed Tomographyen_US
dc.titleCharacterization of Urinary Tract Stones in Kassala State using Multi-detector Computed Tomographyen_US
dc.title.alternativeتوصيف حصاوي الجهاز البولي في ولاية كسلا باستخذام الأشعه المقطعيه المحوسبه متعذده الكواشفen_US
dc.typeThesisen_US
Appears in Collections:Masters Dissertations : Medical Radiologic Science

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