Literature DB >> 21045177

MR imaging helps predict time from symptom onset in patients with acute stroke: implications for patients with unknown onset time.

Mina Petkova1, Sebastian Rodrigo, Catherine Lamy, Georges Oppenheim, Emmanuel Touzé, Jean-Louis Mas, Jean-François Méder, Catherine Oppenheim.   

Abstract

PURPOSE: To assess the value of magnetic resonance (MR) imaging parameters as surrogate markers of stroke duration.
MATERIALS AND METHODS: The study was approved by the Ethics Committee of Ile de France III and was found to conform to generally accepted scientific principles and ethical standards. The authors studied 130 patients with acute stroke of known onset time who underwent 1.5-T MR imaging within 12 hours of the onset of stroke symptoms. Fluid-attenuated inversion recovery (FLAIR), diffusion-weighted (DW) imaging, and apparent diffusion coefficient (ADC) ratios were computed by using three-dimensional regions of interest to outline signal intensity changes on DW images and then projecting them onto the contralateral hemisphere. Imaging ratios in 63 patients who underwent imaging 0-3 hours after symptom onset were compared with those in 67 patients who underwent imaging more than 3 hours after onset by using the Student t test and receiver operating characteristic curves. The accuracy (sensitivity, specificity, and 95% confidence intervals [CIs]) of lesion visibility on FLAIR images in the prediction of a stroke onset time of less than 3 hours was assessed by two independent observers.
RESULTS: Differences in imaging ratios between patients imaged 0-3 hours after symptom onset and those imaged more than 3 hours after onset were statistically significant (P < .001). The FLAIR ratio showed a positive correlation with the time from symptom onset (Pearson correlation coefficient, 0.63). Receiver operating characteristic curves indicated that the FLAIR ratio could reliably identify patients imaged 0-3 hours after symptom onset, reaching 90% sensitivity (95% CI: 83%, 98%) and 93% specificity (95% CI: 86%, 99%) when using a 7% cutoff. Stroke imaged within 3 hours could also be identified by means of visual inspection of FLAIR and DW MR images, with 94% sensitivity (95% CI: 88%, 100%) and 97% specificity (95% CI: 93%, 101%).
CONCLUSION: Signal intensity changes on 1.5-T FLAIR MR images can be used as a surrogate marker of stroke age, either qualitatively or quantitatively. This suggests that MR imaging might be used as a "clock" for determining stroke age in patients with an unknown onset time, potentially increasing the number of patients who are eligible for thrombolysis. © RSNA, 2010.

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Year:  2010        PMID: 21045177     DOI: 10.1148/radiol.10100461

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  37 in total

1.  Judgment of FLAIR signal change in DWI-FLAIR mismatch determination is a challenge to clinicians.

Authors:  Annerose Ziegler; Martin Ebinger; Jochen B Fiebach; Heinrich J Audebert; Stefanie Leistner
Journal:  J Neurol       Date:  2011-10-27       Impact factor: 4.849

2.  Synthetic T2 mapping is correlated with time from stroke onset: a future tool in wake-up stroke management?

Authors:  Thomas Duchaussoy; Jean-François Budzik; Laurene Norberciak; Lucie Colas; Marta Pasquini; Sebastien Verclytte
Journal:  Eur Radiol       Date:  2019-05-28       Impact factor: 5.315

3.  Association Between Time From Stroke Onset and Fluid-Attenuated Inversion Recovery Lesion Intensity Is Modified by Status of Collateral Circulation.

Authors:  Anke Wouters; Patrick Dupont; Soren Christensen; Bo Norrving; Rico Laage; Götz Thomalla; Greg Albers; Vincent Thijs; Robin Lemmens
Journal:  Stroke       Date:  2016-02-25       Impact factor: 7.914

4.  Introduction of a Dedicated Emergency Department MR Imaging Scanner at the Barrow Neurological Institute.

Authors:  M Buller; J P Karis
Journal:  AJNR Am J Neuroradiol       Date:  2017-05-11       Impact factor: 3.825

5.  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

6.  Reliability of fast magnetic resonance imaging for acute ischemic stroke patients using a 1.5-T scanner.

Authors:  Mi Sun Chung; Ji Ye Lee; Seung Chai Jung; Seunghee Baek; Woo Hyun Shim; Ji Eun Park; Ho Sung Kim; Choong Gon Choi; Sang Joon Kim; Deok Hee Lee; Sang-Beom Jeon; Dong-Wha Kang; Sun U Kwon; Jong S Kim
Journal:  Eur Radiol       Date:  2018-11-12       Impact factor: 5.315

7.  Association between the perfusion/diffusion and diffusion/FLAIR mismatch: data from the AXIS2 trial.

Authors:  Anke Wouters; Patrick Dupont; Erich B Ringelstein; Bo Norrving; Angel Chamorro; Martin Grond; Rico Laage; Armin Schneider; Guido Wilms; Götz Thomalla; Robin Lemmens; Vincent N Thijs
Journal:  J Cereb Blood Flow Metab       Date:  2015-06-03       Impact factor: 6.200

Review 8.  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

Review 9.  What to do With Wake-Up Stroke.

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

10.  Quantitative measurements of relative fluid-attenuated inversion recovery (FLAIR) signal intensities in acute stroke for the prediction of time from symptom onset.

Authors:  Bastian Cheng; Mathias Brinkmann; Nils D Forkert; Andras Treszl; Martin Ebinger; Martin Köhrmann; Ona Wu; Dong-Wha Kang; David S Liebeskind; Thomas Tourdias; Oliver C Singer; Soren Christensen; Marie Luby; Steven Warach; Jens Fiehler; Jochen B Fiebach; Christian Gerloff; Götz Thomalla
Journal:  J Cereb Blood Flow Metab       Date:  2012-10-10       Impact factor: 6.200

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