title: A model to predict the histopathology of human stroke using diffusion and T2-weighted magnetic resonance imaging.
abstract: OBJECTIVE
  We sought to identify MRI measures that have high probability in a short acquisition time to predict, at early time points after onset of ischemia, the eventual development of cerebral infarction in clinical patients who suffer occlusion of a cerebral artery.
  
  
  METHODS
  We developed an MR tissue signature model based on experimentally derived relationships of the apparent diffusion coefficient of water (ADCw) and T2 to ischemic brain tissue histopathology. In eight stroke patients we measured ADCw and T2 intensity using diffusion-weighted echo-planar imaging (DW-EPI). Tissue signature regions were defined, and theme maps of the ischemic focus at subacute time points after stroke onset were generated.
  
  
  RESULTS
  Five MR signatures were identified in human stroke foci: two that may predict either cell recovery or progression to necrosis, one that may mark the transition to cell necrosis, and two that may be markers of established cell necrosis.
  
  
  CONCLUSIONS
  An MR tissue signature model of ischemic histopathology using ADCw and T2 can now be tested for its potential to predict reversible and identify irreversible cellular damage in human ischemic brain regions.
mesh_terms: D000368:Aged; D001157:Arterial Occlusive Diseases / Q000150:complications*; D016923:Cell Death; D002536:Cerebral Arteries / Q000473:pathology*; D002544:Cerebral Infarction / Q000209:etiology / Q000473:pathology*; D002561:Cerebrovascular Disorders / Q000209:etiology / Q000473:pathology*; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008875:Middle Aged; D011237:Predictive Value of Tests; D011379:Prognosis