Abstract
This study examines the diagnostic value of Hounsfield Unit (HU) measurements on computed tomography (CT) in differentiating ischemic from haemorrhagic stroke, a distinction critical for timely and appropriate clinical intervention. The study aims to quantify HU values for both stroke types and assess their correlation with stroke lesion size and volume. Non-contrast enhanced CT brain images were retrospectively reviewed from the PACS. HU values, demographic characteristics, clinical risk factors, and stroke classifications were analysed quantitatively. The results demonstrated a lower mean HU value in ischemic strokes (24.37 ± 5.85) as compared with haemorrhagic strokes (57.17 ± 20.10). Lesion volume was significantly correlated with haemorrhagic stroke (r = 0.829, p = 0.041). These findings highlight the utility of HU values as a potential imaging marker for distinguishing ischemic from haemorrhagic stroke. This may improve diagnostic accuracy and support more information in clinical decision-making, hence contributing to better stroke assessment and management.
Metadata
| Item Type: | Article |
|---|---|
| Creators: | Creators Email / ID Num. Abd Basri, Nur Adlina UNSPECIFIED Zainal Alam, Mohammad Mudzakir mudzakir@uitm.edu.my Mahmud, Mohd Hafizi mhafizi@uitm.edu.my |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > Special industries and trades > Mechanical industries, Including electric utilities, electronic industries, and machinery R Medicine > RC Internal Medicine > Neuroscience. Biological psychiatry. Neuropsychiatry > Neurology. Diseases of the nervous system. Including speech disorders > Diseases of the central nervous system |
| Divisions: | Universiti Teknologi MARA, Selangor > Puncak Alam Campus > Faculty of Health Sciences |
| Journal or Publication Title: | Healthscope |
| ISSN: | 2735-0649 |
| Volume: | 8 |
| Number: | 1 |
| Page Range: | pp. 1-5 |
| Related URLs: | |
| Keywords: | Computed tomography, haemorrhagic stroke, Hounsfield unit (HU), ischemic stroke |
| Date: | December 2025 |
| URI: | https://ir.uitm.edu.my/id/eprint/129441 |
