Abstract #0038

Identifying Stroke Patients Most Likely to Benefit from Reperfusion Therapy Using Acute MRI

Ona Wu^1,2, Sren Christensen², Niels Hjort², Anders Neumann², A Gregory Sorensen¹, Gotz Thomalla³, Jens Fiehler⁴, Thomas Kucinski⁴, Joachim Rother³, Leif stergaard²

¹Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA; ²Center for Functionally Integrative Neuroscience, Aarhus University Hospital, Aarhus, Denmark; ³Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; ⁴Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

Identification of patients most likely to benefit from reperfusion therapy is a key question in the management of acute stroke patients. Algorithms combining DWI/PWI for predicting infarction in stroke patients (< 6h) were trained on patients receiving standard non-thrombolytic treatment and then applied to patients who received thrombolysis. Predicted lesion volumes were significantly higher in patients without early reperfusion compared to patients who did reperfuse. Our results show that for patients given thrombolytic therapy, the likelihood of reperfusion depends on the degree and extent of the ischemic injury at the time of treatment, which we measured using multiparametric predictive algorithms.