Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/17344
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dc.contributor.authorBabiker, Mohaned Siddig Osman
dc.date.accessioned2017-05-21T05:14:11Z
dc.date.available2017-05-21T05:14:11Z
dc.date.issued2017-02-14
dc.identifier.citationBabiker, Mohaned Siddig Osman . Study of Renal Stone Composition using Computed Tomography \ Mohaned Siddig Osman Babiker ; Ahmed Mostafa Abukonna .- Khartoum:Sudan University of Sciences and Technology,Medical Radiographic Sciences,2017 .- 44 p:ill;28cm.- M.Sc.en_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/17344
dc.descriptionThesisen_US
dc.description.abstractThis is analytic study conducted in Khartoum state hospitals in period from November 2016 to February 2017.the problem of study was no similar study proceeded in Sudanese populations. The data was collected from computed tomography scan to area of kidneys, ureters and urinary bladder. Classified and analyzed by stood for statistical package for the social sciences application. The aim of study was study chemical composition of renal stone in Sudanese population using computed tomography scan. The study found that most chemical composition of renal stone among Sudanese population was uric acid(59.4%),Cystine (36.3%) then Struvite(13.3%) and calcium(5.4%). The majority of People with uric acid renal stone in Sudan were innorth of Sudanandpeople inwest of Sudan, population withcyctinewere in the west andmiddle of Sudan, while few people with calciumstone in Sudanese population. The most effective age group with renal stone was 40-50 years old (35.1%) and same age group have a uric acid stone (21.1%). furthermore the most common age group with a cyctine renal stone were the children in age between 1 years to 10 years old. In conclusion, uric acid, Cystine, and calcium stone composition may be reliably predicted in vivo on the basis of dual-energy Computed tomography findings. In the future, a single dual-energy computed tomography examination may contribute to not only the identification but also the chemical characterization of stones in the urinary tract, and it may add to the information available from nonenhanced conventional CT performed for evaluation of nephrolithiasis.en_US
dc.description.sponsorshipSudan University of Science and Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science and Technologyen_US
dc.subjectMedical Radiologic Sciencesen_US
dc.subjectDiagnostic Radiologicen_US
dc.subjectRenal Stoneen_US
dc.subjectComputed Tomographyen_US
dc.titleStudy of Renal Stone Composition using Computed Tomographyen_US
dc.typeThesisen_US
dc.contributor.SupervisorSupervisor,- Ahmed Mostafa Abukonna
Appears in Collections:Masters Dissertations : Medical Radiologic Science

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