Journal article

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

Abstract

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 ..

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Grants

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


Funding Acknowledgements

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.).