280 Brain Computed Tomography Findings in Stroke Patients in Port Harcourt: A Retrospective Hospital- Based Study Copy Right@ Michael Promise Ogolodom This work is licensed under Creative Commons Attribution 4.0 License AJBSR.MS.ID.001286. American Journal of Biomedical Science & Research www.biomedgrid.com --------------------------------------------------------------------------------------------------------------------------------- ISSN: 2642-1747 Research Article Kenneth Ikechukwu Ijeh-Tarila 1 , Nengi Alaizgha 2 , Awajimijan Nathaniel Mbaba 2 , Michael Promise Ogolodom 3 *, Boma Orupabo-Oyan 4 , Ernest Nwazor 5 , Ebbi Donald Robinson 2 , Rufus Abam 2 , Olukumi Yetunde Ijeruh 2 and Victor Kelechi Nwodo 6 1 Bayelsa State Hospitals Management Board, Nigeria 2 Department of Radiology, Rivers State University Teaching Hospital, Nigeria 3 Rivers State Hospitals Management Board, Nigeria 4 Department of Internal Medicine, Rivers State University Teaching Hospital, Nigeria. 5 Department of Internal Medicine, Federal Medical Centre Owerri, Nigeria 6 Department of Radiography and Radiological Sciences, Nnamdi Azikiwe University, Nigeria. *Corresponding author: Michael Promise Ogolodom, Rivers State Hospitals Management Board, Port Harcourt, Nigeria To Cite This Article: Ijeh-Tarila KI, Alazigha N, Mbaba AN, Ogolodom MP, Orupabo-Oyan B et al., Brain Computed Tomography Findings in Stroke Patients in Port Harcourt: A Retrospective Hospital-Based Study. 2020 - 8(4). AJBSR.MS.ID.001286. DOI: 10.34297/ AJBSR.2020.08.001286. Received: March 24, 2020; Published: April 13, 2020 Abstract Objective: The purpose of this study was to examine stroke cases in our population to properly characterize them, exclude stroke mimics and document the patterns in this environment using Computed Tomography (CT). Materials and Methods: This is a retrospective cross-sectional study conducted in the Radiology Department of Braithwaite Memorial Specialist Hospital (now Rivers State University Teaching Hospital) Port Harcourt, Nigeria. Brain CT examinations were performed using standard departmental protocol using 64 Slices General Electric machine. CT images and reports of patients that underwent brain CT based on clinical diagnosis of stroke from January 2017 to March 2019 were reviewed and data such as age, gender and radiological imaging findings were retrieved using data capture sheet. Frequency, tables and charts were used for result presentations. Results: Males were 64% with mean age of 52.19 ±15.28 years while females accounted for 36% with mean age of 62.39±15.82 years. Majority of the subjects were within the age group of 43-62 years 43% and the least were in the age group ≥ 83 years, which is 9%. Out of 100 cases studied, ischaemic infarct was highest 56% and the least were brain tumour and subdural hematoma, which is 1% each respectively. Greater proportion of the infarctions were located in the parietal region of the brain 31 (55.4%), and haemorrhagic cases were located in the basal gangalia 12 (41.4%). Conclusion: Non-contrast Computed tomography is indispensable for confirmation and classification of stroke types. Our study showed a higher occurrence of stroke in men with ischaemic infarction being the most common type. Keywords: Computed Tomography, Ischaemic, Haemorrhagic, Stroke Introduction Stroke is a major cause of mortality and disability globally. Out of the 240 causes of death, stroke ranks second after ischaemic heart diseases [1]. Stroke accounts for 10.8% mortality and 3.1% of disease burden worldwide according to World Health Organization (WHO) [2]. The incidence and mortality of stroke differ between countries, geographical regions, and ethnic groups [3]. The burden of stroke in sub-Saharan Africa is about the highest worldwide with age-standardized incidence rate of up to 316 per 100 000, prevalence rates of up to 14 per 1000 population and 1-month fatality rates of up to 40% [4,5]. The current prevalence of stroke