title: Prediction of malignant middle cerebral artery infarction by diffusion-weighted imaging.
abstract: OBJECTIVE
  This study was designed to analyze whether early diffusion-weighted imaging (DWI) provides reliable quantitative information for the prediction of stroke patients at risk of malignant brain infarct.
  
  
  METHODS
  We selected 28 patients with a middle cerebral artery (MCA) infarct and proven MCA or carotid T occlusion on DWI and MRI angiography performed within 14 hours after onset (mean 6.5+/-3.5 hours, median 5.2 hours). Of these, 10 patients developed malignant MCA infarct, whereas 18 did not. For the 2 groups, we compared the National Institutes of Health Stroke Scale (NIHSS) score at admission, site of arterial occlusion, standardized visual analysis of DWI abnormalities, quantitative volume measurement of DWI abnormalities (volume(DWI)), and apparent diffusion coefficient values. Univariate and multivariate discriminant analysis was used to determine the most accurate predictors of malignant MCA infarct.
  
  
  RESULTS
  Univariate analysis showed that an admission NIHSS score >20, total versus partial MCA infarct, and volume(DWI) >145 cm(3) were highly significant predictors of malignant infarct. The best predictor was volume(DWI) >145 cm(3), which achieved 100% sensitivity and 94% specificity. Prediction was further improved by bivariate models combining volume(DWI) and apparent diffusion coefficient measurements, which reached 100% sensitivity and specificity in this series of patients.
  
  
  CONCLUSIONS
  Quantitative measurement of infarct volume on DWI is an accurate method for the prediction of malignant MCA infarct in patients with persistent arterial occlusion imaged within 14 hours of onset. This may be of importance for early management of severe stroke patients.
authors.affiliation: Department of Neuroradiology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France.
authors.forename: C
authors.initials: C
authors.lastname: Oppenheim
authors.forename: Y
authors.initials: Y
authors.lastname: Samson
authors.forename: R
authors.initials: R
authors.lastname: Manaï
authors.forename: T
authors.initials: T
authors.lastname: Lalam
authors.forename: X
authors.initials: X
authors.lastname: Vandamme
authors.forename: S
authors.initials: S
authors.lastname: Crozier
authors.forename: A
authors.initials: A
authors.lastname: Srour
authors.forename: P
authors.initials: P
authors.lastname: Cornu
authors.forename: D
authors.initials: D
authors.lastname: Dormont
authors.forename: G
authors.initials: G
authors.lastname: Rancurel
authors.forename: C
authors.initials: C
authors.lastname: Marsault
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D016002:Discriminant Analysis; D005260:Female; D006801:Humans; D020244:Infarction, Middle Cerebral Artery / Q000175:diagnosis* / Q000209:etiology; D018810:Magnetic Resonance Angiography; D008297:Male; D008875:Middle Aged; D011379:Prognosis; D012680:Sensitivity and Specificity; D020521:Stroke / Q000150:complications; D013997:Time Factors