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Evaluation of Neurological Disorder Using Computed Tomography and Magnetic Resonance Imaging

Evaluation of Neurological Disorder Using Computed Tomography and Magnetic Resonance Imaging
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摘要 <em>Background: </em>The integration of different imaging technologies such as computed tomography (CT) and magnetic resonance imaging (MRI) assists clinicians in diagnosing several neurological diseases at an initial stage, thereby inhibiting their development into serious medical conditions. With respect to the severity of neurological diseases and the increasing popularity of imaging tools, the current study has evaluated the findings of CT and MRI in examining neurological disorders. <em>Methods: </em>A retrospective study was conducted at the faculty of applied medical sciences, King Abdul-Aziz University from September 2017 to 2018 including details of 43 patients with complaints of potential neurological disturbances such as headache, oligodendroglioma, CNS infiltration, hypoxia, weakness, epilepsy and multiple sclerosis. The history of patients including their age, gender, reason for examination and findings of CT and MRI was evaluated in the study. <em>Results: </em>The results showed that patients in the age group of 21 to 40 years were more prone to developing neurological disorders. The major reasons for neurological examination in individuals were found to be headaches (n = 7), multiple sclerosis (n = 5) and epilepsy (n = 3). The evaluation of patients’ records revealed that only 4 patients underwent CT scans;however, all of them went through the MRI. Statistically significant results were obtained for the patients scanned and examined through MRI rather than CT. <em>Conclusions: </em>The results revealed MRI as more successful in diagnosing different neurological conditions in comparison with CT scan. The study further suggests that MRI can be used as an integral diagnostic approach for neurological understanding of major diseases of the central nervous system. <em>Background: </em>The integration of different imaging technologies such as computed tomography (CT) and magnetic resonance imaging (MRI) assists clinicians in diagnosing several neurological diseases at an initial stage, thereby inhibiting their development into serious medical conditions. With respect to the severity of neurological diseases and the increasing popularity of imaging tools, the current study has evaluated the findings of CT and MRI in examining neurological disorders. <em>Methods: </em>A retrospective study was conducted at the faculty of applied medical sciences, King Abdul-Aziz University from September 2017 to 2018 including details of 43 patients with complaints of potential neurological disturbances such as headache, oligodendroglioma, CNS infiltration, hypoxia, weakness, epilepsy and multiple sclerosis. The history of patients including their age, gender, reason for examination and findings of CT and MRI was evaluated in the study. <em>Results: </em>The results showed that patients in the age group of 21 to 40 years were more prone to developing neurological disorders. The major reasons for neurological examination in individuals were found to be headaches (n = 7), multiple sclerosis (n = 5) and epilepsy (n = 3). The evaluation of patients’ records revealed that only 4 patients underwent CT scans;however, all of them went through the MRI. Statistically significant results were obtained for the patients scanned and examined through MRI rather than CT. <em>Conclusions: </em>The results revealed MRI as more successful in diagnosing different neurological conditions in comparison with CT scan. The study further suggests that MRI can be used as an integral diagnostic approach for neurological understanding of major diseases of the central nervous system.
作者 Saeed M. Bafaraj Saeed M. Bafaraj(Department of Diagnostic Radiology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, KSA)
出处 《Journal of Biosciences and Medicines》 2021年第2期42-51,共10页 生物科学与医学(英文)
关键词 Neurological Disorder Computed Tomography Magnetic Resonance Neurological Disorder Computed Tomography Magnetic Resonance
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