Abstract
The study was conducted in Sudan heart centre and Modern Medical Centre in Khartoum state-sudan from may 2015 to may 2016 the data collected in Radiology Department from patients files and analysis by SPSS. A descriptive study designed to detection of lung abnormalities using High Resolution Computed Tomography in diagnosis lung disease which cause chest pain, shortness of breathing and other signs and symptoms related to respiratory system and to correlated the findings to age, gender and the feature of disease. The study main finding diagnosis was bronchoectasis 26%, mets 22%, fibrosis 18%, tuberculosis 14%, pneumothorax 12% and others 8%. The study conclude that bronchoectasis is the main disease that affects the lungs and changes the tissues and airways of respiratory system. A significant relationship was noted between bronchoectasis and the patient according to age. Finally High Resolution Computed Tomography offers good diagnosis of the lung diseases.
Osman, H (2021). Detection Of Lung Abnormalities Using High Resolution Computed Tomography. Afribary. Retrieved from https://afribary.com/works/detection-of-lung-abnormalities-using-high-resolution-computed-tomography
Osman, Hager "Detection Of Lung Abnormalities Using High Resolution Computed Tomography" Afribary. Afribary, 19 May. 2021, https://afribary.com/works/detection-of-lung-abnormalities-using-high-resolution-computed-tomography. Accessed 21 Nov. 2024.
Osman, Hager . "Detection Of Lung Abnormalities Using High Resolution Computed Tomography". Afribary, Afribary, 19 May. 2021. Web. 21 Nov. 2024. < https://afribary.com/works/detection-of-lung-abnormalities-using-high-resolution-computed-tomography >.
Osman, Hager . "Detection Of Lung Abnormalities Using High Resolution Computed Tomography" Afribary (2021). Accessed November 21, 2024. https://afribary.com/works/detection-of-lung-abnormalities-using-high-resolution-computed-tomography