Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/25361
Title: Role of High Resolution Computed Tomography in Diagnosing Lung Diseases
Authors: Abdulraheem, Mohammed Ali Abdullah
Supervisor, -Assma Ibrahim Ahmed Elamin
Keywords: Medical Radiologic Sciences
Diagnostic Radiological Technology
High Resolution Computed Tomography
Diagnosing Lung Diseases
Issue Date: 15-Feb-2020
Publisher: Sudan University of Science and Technology
Citation: Abdulraheem, Mohammed Ali Abdullah . Role of High Resolution Computed Tomography in Diagnosing Lung Diseases \ Mohammed Ali Abdullah Abdulraheem ; Assma Ibrahim Ahmed Elamin .- Khartoum:Sudan University of Science and Technology,College of Medical Radiologic Science,2020 .- 41 .p.:ill.;28cm.-M.Sc
Abstract: This study was conducted in AlSAHA specialist hospital in the radiology department in Khartoum from September 2019 to November2019. Descriptive cross sectional study designed to evaluate lung abnormalities by using high resolution computed tomography, the data was collected from 49 patient 24 male and 25female,aged between20-90year classified and analyzed using SPSS. The study found the most common lung abnormalities were : pleural effusion(30.6%),pneumonia(18.4%),Bronchiectasis(16.3),CAlung(12.2%),Bronchitis(10..2),T.B(8.2%),Emphysema(2%)and hem pneumothorax(2%) ) .Also study found there is no significant between the age and the lung abnormalities (P-value = 0.1), and there is no significant between the lung abnormalities and gender(P-value = 0. .694). The study concluded to: The Pleural Effusion is most prevalent abnormalities by (30%) and hem pneumothorax is less prevalent (2%) .The study concluded there is no significant between the lung abnormalities and age ,and lung abnormalities and gender. Finally HRCT has an important role in diagnosis lung abnormalities This study recommended to perform more study in different Sudan States , that help in analytic studies Take clinical sign to find the relation with lung abnormalities
Description: Thesis
URI: http://repository.sustech.edu/handle/123456789/25361
Appears in Collections:Masters Dissertations : Medical Radiologic Science

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