Browsing by Author "Taha Aimen"

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    Association of computed tomography (CT) brain findings with neurological symptoms in non-traumatic patients
    (UMT, Lahore, 2026) Laiba Kanwal; Taha Aimen; Barjees Zahra; Ayesha Mustafa; Tehreem Fatima; Saba Faiz
    The clinical setting (e.g., emergency department vs. outpatient clinic), patient characteristics, and the reason for performing the scan are all important factors that influence the rate of brain pathology revealed by Computerized Tomography (CT) scans. A large number of CT scans, particularly those performed for chronic symptoms such as headaches, are normal, although they are highly sensitive for detecting serious pathology. The highest prevalence was observed in loss of consciousness (47.7%) among the patients. The second highest prevalence was reported in vision problems (45.0%). The Third highest prevalence was reported in Headache (33.9%). The highest prevalence was observed in infarction/ischemic stroke (23.9%) among the participants. The second highest prevalence was reported for brain tumor/mass lesion and cerebral atrophy/degenerative changes (13.8%). The Third highest prevalence was reported in Hemorrhage/Hematoma and Encephalomalacia/Chronic parenchymal Damage (11.0%). Hemorrhage/Hematoma showed a statistically significant association with acute neurological deficit (p = 0.044). All other findings were not statistically significant because their p-values are greater than 0.05. Cerebral Atrophy/Degenerative Changes (p = 0.032) and Calcification (p = 0.047) showed a statistically significant association with fever. All other Findings did not show a statistically significant association with fever. In this study, loss of consciousness and vision problems were the most frequently reported symptoms. Among CT findings, infarction/ischemic stroke was the most common abnormality, followed by brain tumor and cerebral atrophy. Further research should also compare CT with other imaging modalities such as MRI for more detailed evaluation of neurological conditions. Longitudinal Study should be used for better statistical analysis.