Incorporating ADC Temporal Profiles to Predict Ischemic Tissue Fate in Acute Stroke

Keywords

ability accounted accuracy accurate acute almost alone although analyzed animal apparent artery artificial automated basis became becoming blue brain cerebral certainty characteristics characterize clinical clinically cluster clustered clustering clusters component components course courses decrease decreases decreasing determined developed diffusion distinct durations endpoint every extent fate final focus furthermore future gained generalized graph green health helpful histology hours identify immediately impact important improved improvement include included incorporate incorporating individual infarct infarction injury instance interfering iterative knowledge likelihood likely limited linear machine making male maps middle minutes model models monotonically network neural none novel occlusion organizing outcome pair patients patterns percentage percentages permanent pixel plotted positive post predict prediction predictive previously probabilistic probability prognoses quantitative ration rats recovery regimen registered relatively render report reported science sensitivity side sophisticated specificity stable statistical statistically stem stroke studies subjected support table taken temporal therapeutic timothy tissue tissues together true ultimately utilizes utilizing variability vector versus yellow