Results 71 to 80 of about 1,775 (137)

More than half of patients with wake-up stroke have slept through their stroke onset

open access: yesJournal of Stroke and Cerebrovascular Diseases
Background: Conventional time-from-onset decision-making for use of reperfusion therapies in acute ischemic stroke is challenged by patients with wake-up strokes (WUS) in whom onset time is uncertain.
Lynette Andreasyan, Jeffrey L. Saver
doaj   +1 more source

Wake up stroke and stroke of unknown onset: a critical review

open access: yesFrontiers in Neurology, 2014
Patients who wake up with an ischemic stroke, account for a large number of the total stroke population, due to circadian morning predominance of stroke. Currently, this subset of patients is excluded from revascularization-therapy since no exact time of
Anke eWouters   +12 more
doaj   +1 more source

Prospective study on the mismatch concept in acute stroke patients within the first 24 h after symptom onset - 1000Plus study

open access: yesBMC Neurology, 2009
Background The mismatch between diffusion weighted imaging (DWI) lesion and perfusion imaging (PI) deficit volumes has been used as a surrogate of ischemic penumbra.
Endres Matthias   +14 more
doaj   +1 more source

Current Smoking Does Not Modify the Treatment Effect of Intravenous Thrombolysis in Acute Ischemic Stroke Patients—A Post-hoc Analysis of the WAKE-UP Trial

open access: yesFrontiers in Neurology, 2019
Background: The “smoking paradox” indicates that patients with acute ischemic stroke (AIS) who smoke at the time of their stroke may have a better prognosis after intravenous thrombolysis than non-smokers.
Ludwig Schlemm   +26 more
doaj   +1 more source

Neuroimaging and Intravenous Recombinant Tissue Plasminogen Activator in Acute Ischemic Stroke beyond 4.5 Hours: A Systematic Review

open access: yesAksona
Highlight: • Ischemic stroke is a major cause of disability and death globally, emphasizing the urgent need for timely and effective thrombolytic interventions within a narrow treatment window.
Muhammad Ramadhan Ghifari   +4 more
doaj   +1 more source

Predicting diffusion-FLAIR mismatch from B1000 and ADC without FLAIR: A deep learning-based approach

open access: yesScientific Reports
Diffusion-FLAIR mismatch (DFM), defined as the discrepancy between diffusion-weighted imaging (DWI) and FLAIR sequences, is a key imaging biomarker used to identify patients with unclear symptom onset or those likely to benefit from recanalization ...
Pum Jun Kim   +12 more
doaj   +1 more source

A systematic review of the performance of Artificial Intelligence for automated DWI/FLAIR mismatch evaluation on MRI in ischemic stroke

open access: yes
Abstract The purpose of this study was to survey the existing artificial intelligence (AI) algorithms created for the automated detection of the diffusion-weighted imaging (DWI)–fluid-attenuated inversion recovery (FLAIR) mismatch and assess how their performance compares to that diagnostic techniques performed by neuroradiologists.
Zahra Soltanali   +5 more
openaire   +2 more sources

Poster Sessions

open access: yes
HemaSphere, Volume 10, Issue S1, June 2026.
wiley   +1 more source

Publication Only

open access: yes
HemaSphere, Volume 10, Issue S1, June 2026.
wiley   +1 more source

ePoster

open access: yes
European Journal of Neurology, Volume 33, Issue S1, June 2026.
wiley   +1 more source

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