Literature DB >> 23640823

Can diffusion-weighted imaging-fluid-attenuated inversion recovery mismatch (positive diffusion-weighted imaging/negative fluid-attenuated inversion recovery) at 3 Tesla identify patients with stroke at <4.5 hours?

Samuel Emeriau1, Isabelle Serre, Olivier Toubas, Francis Pombourcq, Catherine Oppenheim, Laurent Pierot.   

Abstract

BACKGROUND AND
PURPOSE: At 1.5 T, diffusion-weighted imaging-fluid-attenuated inversion recovery (DWI-FLAIR) mismatch helps identify strokes within 4.5 hours of onset. However, at 3T, studies have found divergent results. The goal of this study was to determine whether DWI-FLAIR mismatch at 3T would also be helpful for identifying patients within 4.5 hours of symptom onset.
METHODS: All patients presenting with an ischemic stroke in the middle cerebral artery territory and explored with 3T MRI within 12 hours between November 2007 and April 2012 were included in this retrospective study. Two readers analyzed the DWI and FLAIR images. Logistic regression was performed to determine independent predictors of FLAIR visibility. Also, the predictive values of a mismatch for identifying patients with stroke onset ≤4.5 hours were estimated.
RESULTS: The study included 194 patients. The only predictive factor of FLAIR visibility was delayed MRI acquisition. The DWI-FLAIR mismatch was able to identify patients within 4.5 hours of stroke onset with relatively low sensitivity (0.55; 95% confidence interval, 0.48-0.63), low specificity (0.60; 95% confidence interval, 0.42-0.77), high positive predictive value (0.88; 95% confidence interval, 0.82-0.94), and very low negative predictive value (0.19; 95% confidence interval, 0.11-0.28). In addition, 44.5% of patients had a positive FLAIR sequence within 4.5 hours.
CONCLUSIONS: This study improves our understanding of DWI-FLAIR mismatch as an imaging biomarker for wake-up management of patients with stroke. At 3T, the presence of a DWI-FLAIR mismatch was able to identify stroke onset of <4.5 hours. However, 44.5% of such stroke cases demonstrated FLAIR signal changes.

Entities:  

Keywords:  MRI; biomarker; brain imaging; ischemic stroke; penumbra stroke onset; thrombolysis acute stroke

Mesh:

Year:  2013        PMID: 23640823     DOI: 10.1161/STROKEAHA.113.001001

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  16 in total

1.  A Machine Learning Approach for Classifying Ischemic Stroke Onset Time From Imaging.

Authors:  King Chung Ho; William Speier; Haoyue Zhang; Fabien Scalzo; Suzie El-Saden; Corey W Arnold
Journal:  IEEE Trans Med Imaging       Date:  2019-02-25       Impact factor: 10.048

2.  Pitfall of fluid-attenuated inversion recovery (FLAIR) MR imaging in acute stroke-does magnetic field strength influence the tissue clock?

Authors:  K Egger; A Harloff; B Jung; S Meckel
Journal:  Clin Neuroradiol       Date:  2013-06-05       Impact factor: 3.649

3.  Poster Viewing Sessions PB01-B01 to PB03-V09.

Authors: 
Journal:  J Cereb Blood Flow Metab       Date:  2019-07       Impact factor: 6.200

4.  Classifying Acute Ischemic Stroke Onset Time using Deep Imaging Features.

Authors:  King Chung Ho; William Speier; Suzie El-Saden; Corey W Arnold
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

Review 5.  MRI-guided selection of patients for treatment of acute ischemic stroke.

Authors:  Richard Leigh; John W Krakauer
Journal:  Curr Opin Neurol       Date:  2014-08       Impact factor: 5.710

6.  Validation of overestimation ratio and TL-SVS as imaging biomarker of cardioembolic stroke and time from onset to MRI.

Authors:  Romain Bourcier; Laurence Legrand; Sébastien Soize; Julien Labreuche; Marine Beaumont; Hubert Desal; Imad Derraz; Serge Bracard; Catherine Oppenheim; Olivier Naggara
Journal:  Eur Radiol       Date:  2018-11-12       Impact factor: 5.315

7.  Use of DWI-FLAIR Mismatch to Estimate the Onset Time in Wake-Up Strokes.

Authors:  Tianyou Zhang; Baojun Wang; Jinfeng Zhang; Na Ta; Meng Fu; Fan Hua Tian; Jie Wang
Journal:  Neuropsychiatr Dis Treat       Date:  2022-02-21       Impact factor: 2.570

Review 8.  What to do With Wake-Up Stroke.

Authors:  Mark N Rubin; Kevin M Barrett
Journal:  Neurohospitalist       Date:  2015-07

9.  The usefulness of diffusion-weighted/fluid-attenuated inversion recovery imaging in the diagnostics and timing of lacunar and nonlacunar stroke.

Authors:  Grzegorz Witkowski; Agnieszka Piliszek; Halina Sienkiewicz-Jarosz; Agnieszka Skierczyńska; Renata Poniatowska; Małgorzata Dorobek; Anna Filipek-Gliszczynska; Danuta Ryglewicz; Jerzy Walecki
Journal:  Neuroradiology       Date:  2014-07-24       Impact factor: 2.804

10.  MRI radiomic features-based machine learning approach to classify ischemic stroke onset time.

Authors:  Yi-Qun Zhang; Ao-Fei Liu; Feng-Yuan Man; Ying-Ying Zhang; Chen Li; Yun-E Liu; Ji Zhou; Ai-Ping Zhang; Yang-Dong Zhang; Jin Lv; Wei-Jian Jiang
Journal:  J Neurol       Date:  2021-07-04       Impact factor: 4.849

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