Permeability Measures Predict Hemorrhagic Transformation after Ischemic Stroke
Andrew Bivard, Timothy Kleinig, Leonid Churilov, Christopher Levi, Longting Lin, Xin Cheng, Chushuang Chen, Richard Aviv, Philip MC Choi, Neil J Spratt, Kenneth Butcher, Qiang Dong, Mark Parsons
Annals of Neurology | WILEY | Published : 2020
Objective We sought to examine the diagnostic utility of existing predictors of any hemorrhagic transformation (HT) and compare them with new perfusion imaging permeability measures in ischemic stroke patients receiving alteplase only. Methods A pixel‐based analysis of pretreatment CT perfusion (CTP) was undertaken to define the optimal CTP permeability thresholds to predict the likelihood of HT. We then compared previously proposed predictors of HT using regression analyses and receiver operating characteristic curve analysis to produce an area under the curve (AUC). We compared AUCs using χ2 analysis. Results From 5 centers, 1,407 patients were included in this study; of these, 282 had H..View full abstract
Awarded by National Health and Medical Research Council
Awarded by National Health and Medical Research Council/National Heart Foundation
Awarded by Science and Technology Commission of Shanghai Municipality China
This study was supported by the National Health and Medical Research Council (grant APP1013719, A.B.), National Health and Medical Research Council/National Heart Foundation co-funded Career Development/Future Leader Fellowship (grant APPS1110629/100827, N.J.S.), The Science and Technology Commission of Shanghai Municipality China (grants 1241119a8100 and 15QA1400900, X.C.), and The Canada Research Chair Program (K.B.).