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Research ArticleAdult Brain

Prediction of Clinical Outcome in Patients with Large-Vessel Acute Ischemic Stroke: Performance of Machine Learning versus SPAN-100

B. Jiang, G. Zhu, Y. Xie, J.J. Heit, H. Chen, Y. Li, V. Ding, A. Eskandari, P. Michel, G. Zaharchuk and M. Wintermark
American Journal of Neuroradiology February 2021, 42 (2) 240-246; DOI: https://doi.org/10.3174/ajnr.A6918
B. Jiang
aFrom the Department of Radiology, Neuroradiology Section (B.J., G.Z., Y.X., J.J.H., H.C., Y.L., G.Z., M.W.), Stanford University School of Medicine, Palo Alto, California
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G. Zhu
aFrom the Department of Radiology, Neuroradiology Section (B.J., G.Z., Y.X., J.J.H., H.C., Y.L., G.Z., M.W.), Stanford University School of Medicine, Palo Alto, California
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Y. Xie
aFrom the Department of Radiology, Neuroradiology Section (B.J., G.Z., Y.X., J.J.H., H.C., Y.L., G.Z., M.W.), Stanford University School of Medicine, Palo Alto, California
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J.J. Heit
aFrom the Department of Radiology, Neuroradiology Section (B.J., G.Z., Y.X., J.J.H., H.C., Y.L., G.Z., M.W.), Stanford University School of Medicine, Palo Alto, California
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H. Chen
aFrom the Department of Radiology, Neuroradiology Section (B.J., G.Z., Y.X., J.J.H., H.C., Y.L., G.Z., M.W.), Stanford University School of Medicine, Palo Alto, California
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Y. Li
aFrom the Department of Radiology, Neuroradiology Section (B.J., G.Z., Y.X., J.J.H., H.C., Y.L., G.Z., M.W.), Stanford University School of Medicine, Palo Alto, California
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V. Ding
bDepartment of Medicine (V.D.), Quantitative Sciences Unit, Stanford University, Stanford, California
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A. Eskandari
cNeurology Service (A.E., P.M.), Centre Hospitalier Universitaire Vaudois and Lausanne University, Lausanne, Switzerland
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P. Michel
cNeurology Service (A.E., P.M.), Centre Hospitalier Universitaire Vaudois and Lausanne University, Lausanne, Switzerland
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G. Zaharchuk
aFrom the Department of Radiology, Neuroradiology Section (B.J., G.Z., Y.X., J.J.H., H.C., Y.L., G.Z., M.W.), Stanford University School of Medicine, Palo Alto, California
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M. Wintermark
aFrom the Department of Radiology, Neuroradiology Section (B.J., G.Z., Y.X., J.J.H., H.C., Y.L., G.Z., M.W.), Stanford University School of Medicine, Palo Alto, California
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Article Information

vol. 42 no. 2 240-246
DOI 
https://doi.org/10.3174/ajnr.A6918
PubMed 
33414230

Published By 
American Journal of Neuroradiology
Print ISSN 
0195-6108
Online ISSN 
1936-959X
History 
  • Received April 24, 2020
  • Accepted after revision September 12, 2020
  • Published online February 9, 2021.

Copyright & Usage 
© 2021 by American Journal of Neuroradiology

Author Information

  1. B. Jianga,
  2. G. Zhua,
  3. Y. Xiea,
  4. J.J. Heita,
  5. H. Chena,
  6. Y. Lia,
  7. V. Dingb,
  8. A. Eskandaric,
  9. P. Michelc,
  10. G. Zaharchuka and
  11. M. Wintermarka
  1. aFrom the Department of Radiology, Neuroradiology Section (B.J., G.Z., Y.X., J.J.H., H.C., Y.L., G.Z., M.W.), Stanford University School of Medicine, Palo Alto, California
  2. bDepartment of Medicine (V.D.), Quantitative Sciences Unit, Stanford University, Stanford, California
  3. cNeurology Service (A.E., P.M.), Centre Hospitalier Universitaire Vaudois and Lausanne University, Lausanne, Switzerland
  1. Please address correspondence to Max Wintermark, MD, Stanford University, Department of Radiology, Neuroradiology Division, 300 Pasteur Dr, Room S047, Stanford, CA 94305-5105; e-mail: max.wintermark{at}gmail.com
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B. Jiang, G. Zhu, Y. Xie, J.J. Heit, H. Chen, Y. Li, V. Ding, A. Eskandari, P. Michel, G. Zaharchuk, M. Wintermark
Prediction of Clinical Outcome in Patients with Large-Vessel Acute Ischemic Stroke: Performance of Machine Learning versus SPAN-100
American Journal of Neuroradiology Feb 2021, 42 (2) 240-246; DOI: 10.3174/ajnr.A6918

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Prediction of Clinical Outcome in Patients with Large-Vessel Acute Ischemic Stroke: Performance of Machine Learning versus SPAN-100
B. Jiang, G. Zhu, Y. Xie, J.J. Heit, H. Chen, Y. Li, V. Ding, A. Eskandari, P. Michel, G. Zaharchuk, M. Wintermark
American Journal of Neuroradiology Feb 2021, 42 (2) 240-246; DOI: 10.3174/ajnr.A6918
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  • Development and validation of machine learning-based model for mortality prediction in patients with acute basilar artery occlusion receiving endovascular treatment: multicentric cohort analysis
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  • End to end stroke triage using cerebrovascular morphology and machine learning
  • Machine learning and acute stroke imaging
  • Crossref (20)
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This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

  • Interpretable Machine Learning Modeling for Ischemic Stroke Outcome Prediction
    Mohamed Sobhi Jabal, Olivier Joly, David Kallmes, George Harston, Alejandro Rabinstein, Thien Huynh, Waleed Brinjikji
    Frontiers in Neurology 2022 13
  • Machine learning and acute stroke imaging
    Sunil A Sheth, Luca Giancardo, Marco Colasurdo, Visish M Srinivasan, Arash Niktabe, Peter Kan
    Journal of NeuroInterventional Surgery 2023 15 2
  • Artificial Intelligence for Clinical Decision Support in Acute Ischemic Stroke: A Systematic Review
    Ela Marie Z. Akay, Adam Hilbert, Benjamin G. Carlisle, Vince I. Madai, Matthias A. Mutke, Dietmar Frey
    Stroke 2023 54 6
  • Evaluation of Blood Biomarkers and Parameters for the Prediction of Stroke Survivors’ Functional Outcome upon Discharge Utilizing Explainable Machine Learning
    Aimilios Gkantzios, Christos Kokkotis, Dimitrios Tsiptsios, Serafeim Moustakidis, Elena Gkartzonika, Theodoros Avramidis, Nikolaos Aggelousis, Konstantinos Vadikolias
    Diagnostics 2023 13 3
  • Prognostic nomogram for the outcomes in acute stroke patients with intravenous thrombolysis
    Zheng Ping, Li Min, Lu Qiuyun, Chen Xu, Bai Qingke
    Frontiers in Neuroscience 2022 16
  • Systematic Review of Machine Learning Applied to the Secondary Prevention of Ischemic Stroke
    Meng Chen, Dongbao Qian, Yixuan Wang, Junyan An, Ke Meng, Shuai Xu, Sheng Liu, Meiyan Sun, Miao Li, Chunying Pang
    Journal of Medical Systems 2024 48 1
  • Explainable machine learning for long-term outcome prediction in two-center stroke patients after intravenous thrombolysis
    Zheng Ping, She Huiyu, Li Min, Bai Qingke, Lu Qiuyun, Chen Xu
    Frontiers in Neuroscience 2023 17
  • Machine learning prediction of motor function in chronic stroke patients: a systematic review and meta-analysis
    Qinglin Li, Lei Chi, Weiying Zhao, Lei Wu, Chuanxu Jiao, Xue Zheng, Kaiyue Zhang, Xiaoning Li
    Frontiers in Neurology 2023 14
  • End to end stroke triage using cerebrovascular morphology and machine learning
    Aditi Deshpande, Jordan Elliott, Bin Jiang, Pouya Tahsili-Fahadan, Chelsea Kidwell, Max Wintermark, Kaveh Laksari
    Frontiers in Neurology 2023 14
  • Development and validation of machine learning-based model for mortality prediction in patients with acute basilar artery occlusion receiving endovascular treatment: multicentric cohort analysis
    Chang Liu, Jiacheng Huang, Weilin Kong, Liyuan Chen, Jiaxing Song, Jie Yang, Fengli Li, Wenjie Zi
    Journal of NeuroInterventional Surgery 2024 16 1

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