Medical Sciences Commons^™

Ex Vivo Thrombus Magnetic Resonance Imaging Features And Patient Clinical Data Enable Prediction Of Acute Ischemic Stroke Cause, Spencer D. Christiansen, Junmin Liu, Maria Bres Bullrich, Manas Sharma, Sachin K. Pandey, Melfort Boulton, Sebastian Fridman, Luciano A. Sposato, Maria Drangova

Robarts Vascular Research Publications

The cause of ischemic stroke often remains elusive even after full stroke workup is completed. Cardioembolic mechanisms in particular are frequently presumed but challenging to definitively diagnose. Quantitative thrombus texture analysis is emerging as a powerful tool for stroke characterization, having shown the ability to predict response to stroke treatment,1 but its ability to predict stroke cause and complement machine learning models built from standard clinical features has not been studied.2, 3 The purpose of this study is to evaluate the ability of radiomics features extracted from quantitative magnetic resonance images of retrieved ischemic stroke thrombi (R2*(=1/T2*), …