Literature DB >> 25580662

The growth rate of early DWI lesions is highly variable and associated with penumbral salvage and clinical outcomes following endovascular reperfusion.

Hayley M Wheeler1, Michael Mlynash1, Manabu Inoue1, Aaryani Tipirnini1, John Liggins1, Roland Bammer1, Maarten G Lansberg1, Stephanie Kemp1, Greg Zaharchuk1, Matus Straka1, Gregory W Albers1.   

Abstract

BACKGROUND: The degree of variability in the rate of early diffusion-weighted imaging expansion in acute stroke has not been well characterized. AIM: We hypothesized that patients with slowly expanding diffusion-weighted imaging lesions would have more penumbral salvage and better clinical outcomes following endovascular reperfusion than patients with rapidly expanding diffusion-weighted imaging lesions.
METHODS: In the first part of this substudy of DEFUSE 2, growth curves were constructed for patients with >90% reperfusion and <10% reperfusion. Next, the initial growth rate was determined in all patients with a clearly established time of symptom onset, assuming a lesion volume of 0 ml just prior to symptom onset. Patients who achieved reperfusion (>50% reduction in perfusion-weighted imaging after endovascular therapy) were categorized into tertiles according to their initial diffusion-weighted imaging growth rates. For each tertile, penumbral salvage [comparison of final volume to the volume of perfusion-weighted imaging (Tmax > 6 s)/diffusion-weighted imaging mismatch prior to endovascular therapy], favorable clinical response (National Institutes of Health Stroke Scale improvement of ≥8 points or 0-1 at 30 days), and good functional outcome (90-day modified Rankin score of ≤2) were calculated. A multivariate model assessed whether infarct growth rates were an independent predictor of clinical outcomes.
RESULTS: Sixty-five patients were eligible for this study; the median initial growth rate was 3·1 ml/h (interquartile range 0·7-10·7). Target mismatch patients (n = 42) had initial growth rates that were significantly slower than the growth rates in malignant profile (n = 9 patients, P < 0·001). In patients who achieved reperfusion (n = 38), slower early diffusion-weighted imaging growth rates were associated with better clinical outcomes (P < 0·05) and a trend toward more penumbral salvage (n = 31, P = 0·103). A multivariate model demonstrated that initial diffusion-weighted imaging growth rate was an independent predictor of achieving a 90-day modified Rankin score of ≤2.
CONCLUSIONS: The growth rate of early diffusion-weighted imaging lesions in acute stroke patients is highly variable; malignant profile patients have higher growth rates than patients with target mismatch. A slower rate of early diffusion-weighted imaging growth is associated with a greater degree of penumbral salvage and improved clinical outcomes following endovascular reperfusion.
© 2015 World Stroke Organization.

Entities:  

Keywords:  MRI; ischemic stroke; lesions; radiology; reperfusion; stroke

Mesh:

Year:  2015        PMID: 25580662      PMCID: PMC4478123          DOI: 10.1111/ijs.12436

Source DB:  PubMed          Journal:  Int J Stroke        ISSN: 1747-4930            Impact factor:   5.266


  12 in total

Review 1.  Real-time diffusion-perfusion mismatch analysis in acute stroke.

Authors:  Matus Straka; Gregory W Albers; Roland Bammer
Journal:  J Magn Reson Imaging       Date:  2010-11       Impact factor: 4.813

2.  RAPID automated patient selection for reperfusion therapy: a pooled analysis of the Echoplanar Imaging Thrombolytic Evaluation Trial (EPITHET) and the Diffusion and Perfusion Imaging Evaluation for Understanding Stroke Evolution (DEFUSE) Study.

Authors:  Maarten G Lansberg; Jun Lee; Soren Christensen; Matus Straka; Deidre A De Silva; Michael Mlynash; Bruce C Campbell; Roland Bammer; Jean-Marc Olivot; Patricia Desmond; Stephen M Davis; Geoffrey A Donnan; Gregory W Albers
Journal:  Stroke       Date:  2011-04-14       Impact factor: 7.914

3.  MRI profile and response to endovascular reperfusion after stroke (DEFUSE 2): a prospective cohort study.

Authors:  Maarten G Lansberg; Matus Straka; Stephanie Kemp; Michael Mlynash; Lawrence R Wechsler; Tudor G Jovin; Michael J Wilder; Helmi L Lutsep; Todd J Czartoski; Richard A Bernstein; Cherylee W J Chang; Steven Warach; Franz Fazekas; Manabu Inoue; Aaryani Tipirneni; Scott A Hamilton; Greg Zaharchuk; Michael P Marks; Roland Bammer; Gregory W Albers
Journal:  Lancet Neurol       Date:  2012-09-04       Impact factor: 44.182

4.  Magnetic resonance imaging profiles predict clinical response to early reperfusion: the diffusion and perfusion imaging evaluation for understanding stroke evolution (DEFUSE) study.

Authors:  Gregory W Albers; Vincent N Thijs; Lawrence Wechsler; Stephanie Kemp; Gottfried Schlaug; Elaine Skalabrin; Roland Bammer; Wataru Kakuda; Maarten G Lansberg; Ashfaq Shuaib; William Coplin; Scott Hamilton; Michael Moseley; Michael P Marks
Journal:  Ann Neurol       Date:  2006-11       Impact factor: 10.422

5.  Evolution of cerebral infarct volume assessed by diffusion-weighted magnetic resonance imaging.

Authors:  M G Lansberg; M W O'Brien; D C Tong; M E Moseley; G W Albers
Journal:  Arch Neurol       Date:  2001-04

6.  Is early ischemic lesion volume on diffusion-weighted imaging an independent predictor of stroke outcome? A multivariable analysis.

Authors:  V N Thijs; M G Lansberg; C Beaulieu; M P Marks; M E Moseley; G W Albers
Journal:  Stroke       Date:  2000-11       Impact factor: 7.914

7.  Refining the definition of the malignant profile: insights from the DEFUSE-EPITHET pooled data set.

Authors:  Michael Mlynash; Maarten G Lansberg; Deidre A De Silva; Jun Lee; Soren Christensen; Matus Straka; Bruce C V Campbell; Roland Bammer; Jean-Marc Olivot; Patricia Desmond; Geoffrey A Donnan; Stephen M Davis; Gregory W Albers
Journal:  Stroke       Date:  2011-04-07       Impact factor: 7.914

8.  Pretreatment diffusion- and perfusion-MR lesion volumes have a crucial influence on clinical response to stroke thrombolysis.

Authors:  Mark W Parsons; Soren Christensen; Patrick McElduff; Christopher R Levi; Ken S Butcher; Deidre A De Silva; Martin Ebinger; P Alan Barber; Christopher Bladin; Geoffrey A Donnan; Stephen M Davis
Journal:  J Cereb Blood Flow Metab       Date:  2010-01-20       Impact factor: 6.200

9.  Stability of large diffusion/perfusion mismatch in anterior circulation strokes for 4 or more hours.

Authors:  R Gilberto González; Reza Hakimelahi; Pamela W Schaefer; Luca Roccatagliata; A Gregory Sorensen; Aneesh B Singhal
Journal:  BMC Neurol       Date:  2010-02-10       Impact factor: 2.474

10.  Effects of alteplase beyond 3 h after stroke in the Echoplanar Imaging Thrombolytic Evaluation Trial (EPITHET): a placebo-controlled randomised trial.

Authors:  Stephen M Davis; Geoffrey A Donnan; Mark W Parsons; Christopher Levi; Kenneth S Butcher; Andre Peeters; P Alan Barber; Christopher Bladin; Deidre A De Silva; Graham Byrnes; Jonathan B Chalk; John N Fink; Thomas E Kimber; David Schultz; Peter J Hand; Judith Frayne; Graeme Hankey; Keith Muir; Richard Gerraty; Brian M Tress; Patricia M Desmond
Journal:  Lancet Neurol       Date:  2008-02-28       Impact factor: 44.182

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  31 in total

1.  Impact of stroke co-morbidities on cortical collateral flow following ischaemic stroke.

Authors:  Ifechukwude J Biose; Deborah Dewar; I Mhairi Macrae; Christopher McCabe
Journal:  J Cereb Blood Flow Metab       Date:  2019-06-24       Impact factor: 6.200

2.  Absent Filling of Ipsilateral Superficial Middle Cerebral Vein Is Associated With Poor Outcome After Reperfusion Therapy.

Authors:  Sheng Zhang; Yangxiao Lai; Xinfa Ding; Mark Parsons; John H Zhang; Min Lou
Journal:  Stroke       Date:  2017-03-06       Impact factor: 7.914

Review 3.  A new era for stroke therapy: Integrating neurovascular protection with optimal reperfusion.

Authors:  Ligen Shi; Marcelo Rocha; Rehana K Leak; Jingyan Zhao; Tarun N Bhatia; Hongfeng Mu; Zhishuo Wei; Fang Yu; Susan L Weiner; Feifei Ma; Tudor G Jovin; Jun Chen
Journal:  J Cereb Blood Flow Metab       Date:  2018-09-07       Impact factor: 6.200

Review 4.  Imaging assessment of acute ischaemic stroke: a review of radiological methods.

Authors:  Aubrey George Smith; Chris Rowland Hill
Journal:  Br J Radiol       Date:  2017-12-11       Impact factor: 3.039

5.  Stroke Treatment Academic Industry Roundtable: The Next Generation of Endovascular Trials.

Authors:  Tudor G Jovin; Gregory W Albers; David S Liebeskind
Journal:  Stroke       Date:  2016-09-01       Impact factor: 7.914

6.  Thrombectomy for Stroke at 6 to 16 Hours with Selection by Perfusion Imaging.

Authors:  Gregory W Albers; Michael P Marks; Stephanie Kemp; Soren Christensen; Jenny P Tsai; Santiago Ortega-Gutierrez; Ryan A McTaggart; Michel T Torbey; May Kim-Tenser; Thabele Leslie-Mazwi; Amrou Sarraj; Scott E Kasner; Sameer A Ansari; Sharon D Yeatts; Scott Hamilton; Michael Mlynash; Jeremy J Heit; Greg Zaharchuk; Sun Kim; Janice Carrozzella; Yuko Y Palesch; Andrew M Demchuk; Roland Bammer; Philip W Lavori; Joseph P Broderick; Maarten G Lansberg
Journal:  N Engl J Med       Date:  2018-01-24       Impact factor: 91.245

7.  Infarct Evolution in a Large Animal Model of Middle Cerebral Artery Occlusion.

Authors:  Mohammed Salman Shazeeb; Robert M King; Olivia W Brooks; Ajit S Puri; Nils Henninger; Johannes Boltze; Matthew J Gounis
Journal:  Transl Stroke Res       Date:  2019-09-03       Impact factor: 6.829

Review 8.  Resting-State BOLD MRI for Perfusion and Ischemia.

Authors:  Hannes Kroll; Greg Zaharchuk; Thomas Christen; Jeremy J Heit; Michael Iv
Journal:  Top Magn Reson Imaging       Date:  2017-04

9.  Collateral status contributes to differences between observed and predicted 24-h infarct volumes in DEFUSE 3.

Authors:  Vaishnavi L Rao; Michael Mlynash; Søren Christensen; Amarnath Yennu; Stephanie Kemp; Greg Zaharchuk; Jeremy J Heit; Michael P Marks; Maarten G Lansberg; Gregory W Albers
Journal:  J Cereb Blood Flow Metab       Date:  2020-05-19       Impact factor: 6.200

Review 10.  Time window and "tissue window": two approaches to assist decision-making in strokes.

Authors:  XuYing Xiang; Fei Cao
Journal:  J Neurol       Date:  2018-06-19       Impact factor: 4.849

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