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Sean P. Symons

Researcher at University of Toronto

Publications -  158
Citations -  5751

Sean P. Symons is an academic researcher from University of Toronto. The author has contributed to research in topics: Stroke & Magnetic resonance imaging. The author has an hindex of 38, co-authored 145 publications receiving 4897 citations. Previous affiliations of Sean P. Symons include Women's College, Kolkata & Sunnybrook Research Institute.

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CT Angiography “Spot Sign” Predicts Hematoma Expansion in Acute Intracerebral Hemorrhage

TL;DR: The computed tomography angiography spot sign is associated with the presence and extent of hematoma progression and further studies are warranted to validate the ability of this sign to predict clinical outcomes.
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CT angiography clot burden score and collateral score: correlation with clinical and radiologic outcomes in acute middle cerebral artery infarct.

TL;DR: In this article, a novel clot burden score (CBS) and collateral score (CS) were proposed to predict clinical and radiologic outcomes in patients with anterior circulation infarct presenting within 3 hours of stroke onset.
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MR Pulse Sequences: What Every Radiologist Wants to Know but Is Afraid to Ask

TL;DR: Radiology residents now are introduced in their 1st year of training to the MR pulse sequences routinely used in clinical imaging, including various spin-echo, gradient- echo, inversion-recovery, echo-planar imaging, and MR angiographic sequences.
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Identification of Penumbra and Infarct in Acute Ischemic Stroke Using Computed Tomography Perfusion-Derived Blood Flow and Blood Volume Measurements

TL;DR: It is shown in a limited sample of patients that CBF and CBV obtained from CTP can be sensitive and specific for infarction and should be investigated further in a prospective trial to assess their utility for differentiating between infarct and penumbra.
Journal Article

Quantification of Carotid Stenosis on CT Angiography

TL;DR: There is a linear relationship between millimeter carotid stenosis diameter and derived percent stenosis, which allows prediction of NASCET-type percent from millimeter stenosis.