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A study of Paranasal Sinuses Diseases using Multi Detectors Computed Tomography

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dc.contributor.author Saleh, Faiza MohmedAli Doud
dc.contributor.author Supervisor, -Rahma Abdalla Awad Adam
dc.date.accessioned 2022-03-07T06:45:39Z
dc.date.available 2022-03-07T06:45:39Z
dc.date.issued 2020-12-03
dc.identifier.citation Saleh, 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.uri http://repository.sustech.edu/handle/123456789/27026
dc.description Thesis en_US
dc.description.abstract The 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.sponsorship Sudan University of Science & Technology en_US
dc.language.iso en en_US
dc.publisher Sudan University of Science & Technology en_US
dc.subject Medical Radiologic Sciences en_US
dc.subject Diagnostic Radiologic Technology en_US
dc.subject Paranasal Sinuses Diseases en_US
dc.subject Detectors Computed Tomography en_US
dc.title A study of Paranasal Sinuses Diseases using Multi Detectors Computed Tomography en_US
dc.type Thesis en_US


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