Intra Cranial Space Occupying Lesions In Saudi Patients Using Computed Tomography

  • Mustafa Z. Mahmoud Salman bin Abdulaziz University, College of Applied Medical Sciences, Radiology and Medical Imaging Department, P. O. Box:
Keywords: Intracranial Space occupying lesions (ICSOL), Meningiomas, Neoplastic lesion, Tuberculoma

Abstract

Intracranial Space occupying lesions (ICSOL) of the brain are usually due to malignancy but it can be caused by other pathology such as an abscess or a haematoma. This study was designed with an aim to study the incidence of ICSOL in Saudi patients at Al-Kharj province by using computed tomography modality.This retrospective cohort study was performed in the period of May 2011 to December 2012. A total of hundred consecutive patients referred to the Radiology Department of King Khalid Hospital at Al-Kharj province were recruited. Data collected included age, gender, ethnicity, underlying medical conditions, symptoms, signs and radiological imaging including chest radiographs and CT Brain.Out of examined samples, male to female ratio of 1.7:1; mean ageSD of 291.7 years. Neoplastic lesion; meningiomas were diagnosed in 22 males and 16 females, while non-neoplastic lesion; tuberculoma was diagnosed in 11 males and 6 females.Despite the different factors that may limit the validity of this study, this study has highlighted the relative frequency of different ICSOL at Al-Kharj province.

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Author Biography

Mustafa Z. Mahmoud, Salman bin Abdulaziz University, College of Applied Medical Sciences, Radiology and Medical Imaging Department, P. O. Box:

Salman bin Abdulaziz University, College of Applied Medical Sciences, Radiology and Medical Imaging Department, P. O. Box:

Sudan University of Science and Technology, College of Medical Radiological Science, Basic Sciences Department, P. O. Box:

Published
2015-12-15
How to Cite
Mahmoud, M. Z. (2015). Intra Cranial Space Occupying Lesions In Saudi Patients Using Computed Tomography. Asian Journal of Medical Radiological Research, 4(1), 6-9. Retrieved from https://aijournals.com/index.php/ajmrr/article/view/226