Predictive Value of Acute Neurological Progression Using Bayesian CT Perfusion for Acute Ischemic Stroke with Large or Median Vessel Occlusion
Author:
Affiliation:
1. Department of Neurosurgery, Toho University Ohashi Medical Center, Tokyo, Japan
Publisher
The Japanese Society for Neuroendovascular Therapy
Subject
Cardiology and Cardiovascular Medicine,Neurology (clinical)
Link
https://www.jstage.jst.go.jp/article/jnet/18/1/18_oa.2023-0046/_pdf
Reference21 articles.
1. 1) Sakai Y, Delman BN, Fifi JT, et al. Estimation of ischemic core volume using computed tomographic perfusion. Stroke 2018; 49: 2345–2352.
2. 2) Kudo K, Boutelier T, Pautot F, et al. Bayesian analysis of perfusion-weighted imaging to predict infarct volume: comparison with singular value decomposition. Magn Reson Med Sci 2014; 13: 45–50.
3. 3) Rava RA, Snyder K, Mokin M, et al. Assessment of computed tomography perfusion software in predicting spatial location and volume of infarct in acute ischemic stroke patients: a comparison of Sphere, Vitrea, and RAPID. J Neurointerv Surg 2021; 13: 130–135.
4. 4) Rava RA, Snyder KV, Mokin M, et al. Assessment of a Bayesian Vitrea CT perfusion analysis to predict final infarct and penumbra volumes in patients with acute ischemic stroke: a comparison with RAPID. AJNR Am J Neuroradiol 2020; 41: 206–212.
5. 5) Hirai S, Sato H, Yamamura T, et al. Correlation between the CT perfusion parameter values and response to recanalization in patients with acute ischemic stroke. J Neuroendovasc Ther 2022; 16: 577–585.
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