Results 1 to 10 of about 1,792 (117)

A deep learning analysis of stroke onset time prediction and comparison to DWI-FLAIR mismatch [PDF]

open access: yesNeuroImage: Clinical, 2023
Introduction: When time since stroke onset is unknown, DWI-FLAIR mismatch rating is an established technique for patient stratification. A visible DWI lesion without corresponding parenchymal hyperintensity on FLAIR suggests time since onset of under 4.5 
Jan Sobesky, Ela Marie Zahide Akay
exaly   +4 more sources

CDC42 Might Be a Molecular Signature of DWI-FLAIR Mismatch in a Nonhuman Primate Stroke Model [PDF]

open access: yesBrain Sciences, 2023
No definitive blood markers of DWI-FLAIR mismatch, a pivotal indicator of salvageable ischemic penumbra brain tissue, are known. We previously reported that CDC42 and RHOA are associated with the ischemic penumbra.
Jing-li Liu, Jingqun Tang, Ziming Ye
exaly   +4 more sources

Artificial Intelligence for Automated DWI/FLAIR Mismatch Assessment on Magnetic Resonance Imaging in Stroke: A Systematic Review [PDF]

open access: yesDiagnostics, 2023
We conducted this Systematic Review to create an overview of the currently existing Artificial Intelligence (AI) methods for Magnetic Resonance Diffusion-Weighted Imaging (DWI)/Fluid-Attenuated Inversion Recovery (FLAIR)—mismatch assessment and to ...
Cecilie Mørck   +2 more
exaly   +4 more sources

DWI-FLAIR mismatch guided thrombolysis in patients without large-vessel occlusion: real-world data from a comprehensive stroke centre [PDF]

open access: yesHeliyon, 2022
Introduction: A significant proportion of ischaemic stroke patients present with unknown symptom onset time. DWI-FLAIR mismatch on MRI can help to identify those eligible for thrombolysis.
Péter Klivényi, Laszlo Sztriha
exaly   +4 more sources

An Automatic DWI/FLAIR Mismatch Assessment of Stroke Patients [PDF]

open access: yesDiagnostics, 2023
DWI/FLAIR mismatch assessment for ischemic stroke patients shows promising results in determining if patients are eligible for recombinant tissue-type plasminogen activator (r-tPA) treatment.
Jacob Johansen   +7 more
doaj   +2 more sources

Predicting DWI-FLAIR mismatch on NCCT: the role of artificial intelligence in hyperacute decision making [PDF]

open access: yesFrontiers in Neurology, 2023
BackgroundThe presence of diffusion-weighted imaging (DWI) and fluid-attenuated inversion recovery (FLAIR) mismatch was used to determine eligibility for intravenous thrombolysis in clinical trials.
Beom Joon Kim   +15 more
doaj   +2 more sources

Use of DWI-FLAIR Mismatch to Estimate the Onset Time in Wake-Up Strokes [PDF]

open access: yesNeuropsychiatric Disease and Treatment, 2022
Jinfeng Zhang,1,2 Na Ta,3 Meng Fu,1,2 Fan Hua Tian,1,2 Jie Wang,1,2 Tianyou Zhang,1,2,* Baojun Wang1,2,* 1Department of Neurology, Baotou Central Hospital, Baotou, Inner Mongolia, People’s Republic of China; 2Cerebrovascular Disease Research ...
Zhang J   +6 more
doaj   +2 more sources

DWI/FLAIR Mismatch during Hyperacute Infarction of the Percheron Artery: Time Is Thalamus! [PDF]

open access: yesCase Reports in Neurology, 2020
The artery of Percheron (AOP) is a single dominant thalamo-perforating artery that supplies bilaterally the medial thalami with variable contribution to the rostral midbrain.
Valentina Francioni   +6 more
doaj   +2 more sources

Quantification Beyond Binary of MR FLAIR Hyperintensity Lesions in Acute Ischemic Stroke of Unknown Time Since Onset [PDF]

open access: yesDiagnostics
Background: High inter-rater variability in DWI-FLAIR mismatch assessments for acute ischemic stroke (AIS) has spurred interest in assisting automated imaging measures.
Cecilie Juul Mørck Offersen   +7 more
doaj   +2 more sources

Simple quantitative measurement based on DWI to objectively judge DWI-FLAIR mismatch in a canine stroke model [PDF]

open access: yesDiagnostic and Interventional Radiology, 2015
PURPOSEDiffusion-weighted imaging (DWI) - fluid attenuated inversion recovery (FLAIR) mismatch was proven useful to time the onset of wake-up stroke; however, identifying the status of FLAIR imaging has been mostly subjective.
Sheng Liu   +9 more
doaj   +2 more sources

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