title: The prognostic significance of changes in lesion size of established cerebral infarcts on computed tomography of the brain.
abstract: BACKGROUND
  As a second part of our prospective study, we assessed the size of the infarct lesion on computed tomography (CT) of the brain at two fixed time points after stroke in order to investigate its influence on the clinical outcome.
  
  
  METHODS
  From 220 consecutive stroke patients, admitted within 24 h after onset with symptoms lasting more than 24 h, we selected 150 displaying an anterior circulation infarct or syndrome. All included patients had CT scans without contrast enhancement on day 3 (+/- 8 h) and on day 10 (+/- 8 h) after stroke onset. The size of the X-ray hypoattenuation zone was determined by superimposing the CT slices on digital cerebral vascular maps, on which the contours of the infarct area were delineated. The lesion size was expressed as the fraction of the total surface area of these digital cerebral maps. The patients were divided into four groups according to their degree of disability at 3 months on the modified Rankin (R) scale as follows : R 0-1, R 2-3, R 4-5, R 6.
  
  
  RESULTS
  There was a clear association between lesion size on CT, on day 3 and on day 10, and the clinical outcome. Lesion size decreased between day 3 and day 10 in the groups R 0-1 and R 2-3, remained unchanged in the group R 4-5 and further increased in group R 6.
  
  
  CONCLUSIONS
  Lesion size on CT is a significant predictor of stroke outcome. It decreases from day 3 to day 10 in patients with no or low disability at 3 months, but increases in those who do not survive their stroke.
authors.affiliation: Department of Neurology, Ghent University Hospital, Ghent, Belgium. jacques.dereuck@yucom.be
authors.forename: J
authors.initials: J
authors.lastname: De Reuck
authors.forename: K
authors.initials: K
authors.lastname: Paemeleire
authors.forename: G
authors.initials: G
authors.lastname: Van Maele
authors.forename: M
authors.initials: M
authors.lastname: Goethals
mesh_terms: D001921:Brain / Q000000981:diagnostic imaging*; D002544:Cerebral Infarction / Q000000981:diagnostic imaging / Q000473:pathology*; D004185:Disability Evaluation; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008297:Male; D011237:Predictive Value of Tests; D011379:Prognosis; D011446:Prospective Studies; D012044:Regression Analysis; D012307:Risk Factors; D014057:Tomography, X-Ray Computed