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1.
J Neurol Neurosurg Psychiatry ; 76(3): 354-7, 2005 Mar.
Article in English | MEDLINE | ID: mdl-15716525

ABSTRACT

BACKGROUND: To assess the predictive value of prognosis of different computed tomography (CT) features and National Institutes of Health Stroke Scale score (NIHSS) in acute extensive middle cerebral artery (MCA) infarct. METHODS: Fifty five patients with acute extensive MCA infarct had the CT performed within 24 hours of the onset of symptoms. A total of 11 CT features were analysed. The age distribution, presence of risk factors, presence of individual CT feature, the total CT score, and the NIHSS were correlated with the 30 day mortality. RESULTS: Single explanatory variable analysis showed NIHSS, presence of midline shift, midline shift of more than 1 cm, extent of infarct, presence of hydrocephalus, effacement of subarachnoid space/cella media, attenuation of corticomedullary differentiation, and total CT score were associated with the 30 day mortality. Both extent of infarct >67% and attenuation of corticomedullary differentiation gave a sensitivity and specificity of 93% and 95%, respectively, for the prediction of survival. Logistic regression analysis showed that the extent of infarct and NIHSS were the only independent predictors. CONCLUSIONS: CT features and admission NIHSS are important parameters for prediction of survival in extensive MCA infarct.


Subject(s)
Infarction, Middle Cerebral Artery/diagnostic imaging , Infarction, Middle Cerebral Artery/pathology , Tomography, X-Ray Computed , Aged , Female , Humans , Hydrocephalus/etiology , Male , Predictive Value of Tests , Prognosis , Retrospective Studies , Sensitivity and Specificity , Survival Analysis
2.
Clin Radiol ; 59(2): 145-56, 2004 Feb.
Article in English | MEDLINE | ID: mdl-14746783

ABSTRACT

This pictorial review concentrates on the imaging features of hepatocellular carcinoma as revealed by ultrasonography, computed tomography, magnetic resonance imaging and angiography. Understanding of the pathomorphological characteristics of the disease is important to precise image interpretation.


Subject(s)
Carcinoma, Hepatocellular/diagnosis , Liver Neoplasms/diagnosis , Carcinoma, Hepatocellular/diagnostic imaging , Humans , Liver Neoplasms/diagnostic imaging , Magnetic Resonance Imaging/methods , Tomography, X-Ray Computed/methods , Ultrasonography
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