Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/1475
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dc.contributor.authorAl Emam, sahar Al Emam Ali
dc.contributor.authorSupervisor-Assistant professo
dc.date.accessioned2013-09-08T09:39:25Z
dc.date.available2013-09-08T09:39:25Z
dc.date.issued2012-09-10
dc.identifier.citationAl Emam, ahar Al Emam Ali . Evaluation of Brain Stroke Using MRI: ahar Al Emam  Ali Al Emam; Mohamed Mohamed Omer. - Khartoum : Sudan University for Science & College of Medical Radiologic Science, 2012. - 103p. : ill. ; 28cm. - M.S.c.en_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/1475
dc.descriptionThesisen_US
dc.description.abstractThe study assessed the role of MR imaging in predicting stroke using general MRI protocols. Fifteen patients with stroke with different age and gender underwent brain MRI. The study was done in Radiological department of modern medical center in the period from august 2011 to January 2012 The common involved age were age Groups ranged from f 61-80 years. common involved gender is the male group with specific percent of 68% relative to female with 32% incidence, the most of patient was examined T1 T2 and FLAIR 94% and some of them was examined T1 T2 FLAIR and only 6% examed by MRA , (in the time that taken by patient to do the exam there are two group have the same result 15-25 min and 26-35 min have 42%). Most MRI finding is infarction 88% and the other finding percentages are Hemorrhage 6% and hematoma 6%. and the most affected side left side 47.3%., the most affected area is the thalamus with 29.1%. the result was 10% of patient was refer to CTA or MRA and 90% of the patient was enough with MRI. Out of the previous enumeration for the results related to evaluate stroke by MRI the findings of the study could be summarized as MR imaging may be helpful adjunct to predict the outcome and severity in acute stroke patientsen_US
dc.language.isoenen_US
dc.publisherSudan University for Science & Technologyen_US
dc.subjectGRSen_US
dc.subjectRemote Sensingen_US
dc.titleEvaluation of Brain Stroke Using MRIen_US
dc.typeThesisen_US
Appears in Collections:Masters Dissertations : Medical Radiologic Science

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