Computed Tomography Perfusion Derived Blood-Brain Barrier Permeability Does Not Yet Improve Prediction of Hemorrhagic Transformation | Zendy

Alexander D. Horsch | Zendy; Edwin Bennink | Zendy; Tom van Seeters | Zendy; L. Jaap Kappelle | Zendy; Yolanda van der Graaf | Zendy; Willem P.Th.M. Mali | Zendy; Hugo W. A. M. de Jong | Zendy; Birgitta K. Velthuis | Zendy; Jan Willem Dankbaar | Zendy

Open Access

Computed Tomography Perfusion Derived Blood-Brain Barrier Permeability Does Not Yet Improve Prediction of Hemorrhagic Transformation

Author(s) -

Alexander D. Horsch,

Edwin Bennink,

Tom van Seeters,

L. Jaap Kappelle,

Yolanda van der Graaf,

Willem P.Th.M. Mali,

Hugo W. A. M. de Jong,

Birgitta K. Velthuis,

Jan Willem Dankbaar

Publication year - 2018

Publication title -

cerebrovascular diseases

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.221

H-Index - 104

eISSN - 1421-9786

pISSN - 1015-9770

DOI - 10.1159/000485043

Subject(s) - medicine , perfusion scanning , univariate analysis , logistic regression , stroke (engine) , perfusion , thrombolysis , tissue plasminogen activator , brain ischemia , cardiology , nuclear medicine , multivariate analysis , ischemia , mechanical engineering , myocardial infarction , engineering

Hemorrhagic transformation (HT) in acute ischemic stroke can occur as a result of reperfusion treatment. While withholding treatment may be warranted in patients with increased risk of HT, prediction of HT remains difficult. Nonlinear regression analysis can be used to estimate blood-brain barrier permeability (BBBP). The aim of this study was to identify a combination of clinical and imaging variables, including BBBP estimations, that can predict HT.

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