A Machine Learning Approach for Classifying Ischemic Stroke Onset Time From Imaging

IEEE Transactions on Medical Imaging
King Chung HoCorey W Arnold

Abstract

Current clinical practice relies on clinical history to determine the time since stroke (TSS) onset. Imaging-based determination of acute stroke onset time could provide critical information to clinicians in deciding stroke treatment options, such as thrombolysis. The patients with unknown or unwitnessed TSS are usually excluded from thrombolysis, even if their symptoms began within the therapeutic window. In this paper, we demonstrate a machine learning approach for TSS classification using routinely acquired imaging sequences. We develop imaging features from the magnetic resonance (MR) images and train machine learning models to classify the TSS. We also propose a deep-learning model to extract hidden representations for the MR perfusion-weighted images and demonstrate classification improvement by incorporating these additional deep features. The cross-validation results show that our best classifier achieved an area under the curve of 0.765, with a sensitivity of 0.788 and a negative predictive value of 0.609, outperforming existing methods. We show that the features generated by our deep-learning algorithm correlate with the MR imaging features, and validate the robustness of the model on imaging parameter variations (e.g...Continue Reading

Citations

Aug 8, 2019·NPJ Digital Medicine·Marc Dewey, Uta Wilkens
Jan 29, 2020·Stroke; a Journal of Cerebral Circulation·Hyunna LeeDong-Wha Kang
Aug 28, 2019·Journal of Neurology·Urvish K PatelKogulavadanan Arumaithurai
Jul 17, 2020·Journal of Neurology·Yu-Lei ZhangYun-Cheng Wu
Nov 28, 2020·AJNR. American Journal of Neuroradiology·J E SounP D Chang
Dec 6, 2020·Current Opinion in Neurology·Kateryna AntonenkoFrancesca R Pezzella
May 3, 2021·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Haoyue ZhangCorey W Arnold
May 4, 2021·Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association·Lohit VelagapudiPascal Jabbour
Aug 17, 2021·Topics in Magnetic Resonance Imaging : TMRI·Yannan YuGreg Zaharchuk
Dec 24, 2021·Frontiers in Neurology·Shraddha MainaliKeaton S Smetana

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