Abstract
Objective: To analyze CT findings in hemorrhagic stroke patients correlation with clinical outcome and assess the interobserver agreement of hemorrhagic stroke identification on CT imaging. Material and Method: CT imaging features of 131 cases and clinical data were verified and collected at Siriraj Hospital from Jan 2004 to Dec 2005 and retrospectively analyzed for type, location, mass effect, size of hemorrhage, intraventricular extension, initial level of consciousness (GCS), hospital length of stay and patient outcome. The percentages, predictive values, kappa were calculated. Results: From all types of hemorrhagic stroke, intracerebral hemorrhage remains a common and devastating clinical problem. The most common site was the thalamus and basal ganglia. In the present study, the authors found that fifty-three cases (53/131 cases, 40.5%) with thalamic-ganglionic hemorrhage, nineteen cases (19/131 cases, 14.5%) in lobar hemorrhage, five cases (5/131 cases, 3.8%) in cerebellum, five cases (5/131 cases, 3.8%) in brainstem and eight cases (8/131 cases, 6.1%) occurred in multiple locations. There were twenty-five cases (25/131 cases, 19.1%) of subarachnoid hemorrhage, thirteen cases (13/131 cases, 9.9%) of subdural hemorrhage and three cases (3/131 cases, 2.3%) of intraventricular hemorrhage. Two variables on CT imaging, identified as significant as early mortality predictors, were hematoma volume more than 60 cm3, and presence of intraventricular hemorrhage extension (p < 0.05). The mass effect defined as midline and/or enlargement of contralateral ventricle was not significant (p = 0.067). The present study found concordance between CT brain interpretation by two neuroradiologists for the type of hemorrhagic stroke was very good, Kappa = 0.861 as well as for location was 0.866. Conclusion: CT imaging is an imaging instrument for early identification of hemorrhagic stroke patients and providing imaging evidence of high mortality risk.
| Original language | English |
|---|---|
| Pages (from-to) | 73-86 |
| Number of pages | 14 |
| Journal | Journal of the Medical Association of Thailand |
| Volume | 92 |
| Issue number | 1 |
| Publication status | Published - Jan 2009 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Computed tomographic finding
- Computed tomography
- Hemorrhagic stroke
- Nontraumatic hemorrhagic stroke
- Stroke
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