Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/27026
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dc.contributor.authorSaleh, Faiza MohmedAli Doud-
dc.contributor.authorSupervisor, -Rahma Abdalla Awad Adam-
dc.date.accessioned2022-03-07T06:45:39Z-
dc.date.available2022-03-07T06:45:39Z-
dc.date.issued2020-12-03-
dc.identifier.citationSaleh, Faiza MohmedAli Doud .A study of Paranasal Sinuses Diseases using Multi Detectors Computed Tomography \ Faiza MohmedAli Doud Saleh ; Rahma Abdalla Awad Adam .- Khartoum:Sudan University of Science & Technology,College of Medical Radiologic Science,2020.- 55p.:ill.;28cm.-M.Sc.en_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/27026-
dc.descriptionThesisen_US
dc.description.abstractThe Computed Tomography imaging (CT) is the gold standard in sufficiently depicting the paranasal sinuses diseases, this study was cross sectional descriptive study. The objective is to study sinuses diseases using Computed Tomography (CT) and its relations with age, gender, lesion, side and site of paranasal sinuses (PNS). Data were collected from 50 patients from both genders their ages between 10-70 years old came to radiological departments of Yastabshiroon Medical Center for paranasal sinuses Computed Tomography (CT) scan in period from January to June 2020. The data were collected from medical reports and data collecting sheet include the following variables age, gender, lesion, side and site of paranasal sinuses. The data analyzed by Statistical Package Of Social Science (SPSS) (version 21). The study found that the most common CT findings, were chronic sinusitis had higher frequency (34%), antrochoanal polyp (24%), acute sinusitis (10%), while the most common affected site and side of paranasal sinuses is maxillary (30%), bilateral side (62%). The study showed that the paranasal sinuses diseases higher in female (62%) and in age (30-44) (35%). Finally the Study finding that the multidetector computed tomography (MDCT) is more effectively in paranasal sinuses (PNS) diseases. The study recommended using large sample size for more accurate result.en_US
dc.description.sponsorshipSudan University of Science & Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science & Technologyen_US
dc.subjectMedical Radiologic Sciencesen_US
dc.subjectDiagnostic Radiologic Technologyen_US
dc.subjectParanasal Sinuses Diseasesen_US
dc.subjectDetectors Computed Tomographyen_US
dc.titleA study of Paranasal Sinuses Diseases using Multi Detectors Computed Tomographyen_US
dc.typeThesisen_US
Appears in Collections:Masters Dissertations : Medical Radiologic Science

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