Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/2033
Title: Accuracy of CT scan in Diagnosing Cerebrovascular Accidents
Authors: OTHMAN, OLLA ABDULBASIT
Supervised -HUSSEIN AHMED HASSAN
Keywords: cerebrovascular
accidents
Issue Date: 1-May-2011
Publisher: sudan university of science and technology
Citation: OTHMAN,OLLA ABDULBASIT .Accuracy of CT scan in Diagnosing Cerebrovascular Accidents/OLLA ABDULBASIT OTHMAN;HUSSEIN AHMED HASSAN.- Khartoum : sudan university of science and technology, Medical Radiologic Sciences,2011.- 70p. : ill .;28cm .- M.Sc.
Abstract: Cerebrovascular accident is the sudden brain death due to lack of oxygen, when blood flow is impaired by blockage or rupture of a blood vessel in the brain, CVA is also referred to as stroke, it got two main types, ischemic and hemorrhagic, CT scan has become the standard imaging technique to rule out whether if the stroke is ischemic or hemorrhagic, the goal of this research was to evaluate the pattern of CT findings in patients with a clinically diagnosed CVA and show the accuracy of CT scan in diagnosing CVA by giving the type, the size and the location of it also to describe the non-enhanced CT appearance of normal and abnormal brain tissue and to identify the pathologic condition found on CT after relating it to the symptoms and .clinical diagnose This study was carried in United Arab Emirates, ALQASSIME hospital in sharjah, with a group size of 75 patients that were clinically diagnosed with CVA with a group ages that falls between 20 yrs to 99 years old, 46 patients revealed positive CT diagnose for CVA, most of them were in ages between (40- 59 yrs old), Females showed high incidence than Males in this study both in ischemic and hemorrhagic strokes, Ischemic strokes recorded 33 cases of positive scans, while hemorrhagic .strokes recorded 13 cases of positive scans Percentage of positive CT scans was 61.3% of the whole study
Description: Thesis
URI: http://repository.sustech.edu/handle/123456789/2033
Appears in Collections:Masters Dissertations : Medical Radiologic Science

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