Literature DB >> 24595591

Hypoperfusion intensity ratio predicts infarct progression and functional outcome in the DEFUSE 2 Cohort.

Jean Marc Olivot1, Michael Mlynash, Manabu Inoue, Michael P Marks, Hayley M Wheeler, Stephanie Kemp, Matus Straka, Gregory Zaharchuk, Roland Bammer, Maarten G Lansberg, Gregory W Albers.   

Abstract

BACKGROUND AND
PURPOSE: We evaluate associations between the severity of magnetic resonance perfusion-weighted imaging abnormalities, as assessed by the hypoperfusion intensity ratio (HIR), on infarct progression and functional outcome in the Diffusion and Perfusion Imaging Evaluation for Understanding Stroke Evolution Study 2 (DEFUSE 2).
METHODS: Diffusion-weighted magnetic resonance imaging and perfusion-weighted imaging lesion volumes were determined with the RAPID software program. HIR was defined as the proportion of TMax >6 s lesion volume with a Tmax >10 s delay and was dichotomized based on its median value (0.4) into low versus high subgroups as well as quartiles. Final infarct volumes were assessed at day 5. Initial infarct growth velocity was calculated as the baseline diffusion-weighted imaging (DWI) lesion volume divided by the delay from symptom onset to baseline magnetic resonance imaging. Total Infarct growth was determined by the difference between final infarct and baseline DWI volumes. Collateral flow was assessed on conventional angiography and dichotomized into good and poor flow. Good functional outcome was defined as modified Rankin Scale ≤2 at 90 days.
RESULTS: Ninety-nine patients were included; baseline DWI, perfusion-weighted imaging, and final infarct volumes increased with HIR quartiles (P<0.01). A high HIR predicted poor collaterals with an area under the curve of 0.73. Initial infarct growth velocity and total infarct growth were greater among patients with a high HIR (P<0.001). After adjustment for age, DWI volume, and reperfusion, a low HIR was associated with good functional outcome: odds ratio=4.4 (95% CI, 1.3-14.3); P=0.014.
CONCLUSIONS: HIR can be easily assessed on automatically processed perfusion maps and predicts the rate of collateral flow, infarct growth, and clinical outcome.

Entities:  

Keywords:  brain infarction; magnetic resonance imaging; perfusion imaging

Mesh:

Substances:

Year:  2014        PMID: 24595591      PMCID: PMC4047639          DOI: 10.1161/STROKEAHA.113.003857

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


  16 in total

1.  The physiological significance of the time-to-maximum (Tmax) parameter in perfusion MRI.

Authors:  Fernando Calamante; Søren Christensen; Patricia M Desmond; Leif Ostergaard; Stephen M Davis; Alan Connelly
Journal:  Stroke       Date:  2010-04-22       Impact factor: 7.914

2.  Maps of time to maximum and time to peak for mismatch definition in clinical stroke studies validated with positron emission tomography.

Authors:  Olivier Zaro-Weber; Walter Moeller-Hartmann; Wolf-Dieter Heiss; Jan Sobesky
Journal:  Stroke       Date:  2010-10-28       Impact factor: 7.914

3.  Determinants of the distribution and severity of hypoperfusion in patients with ischemic stroke.

Authors:  O Y Bang; J L Saver; J R Alger; S Starkman; B Ovbiagele; D S Liebeskind
Journal:  Neurology       Date:  2008-11-25       Impact factor: 9.910

4.  Revascularization end points in stroke interventional trials: recanalization versus reperfusion in IMS-I.

Authors:  Pooja Khatri; Joddi Neff; Joseph P Broderick; Jane C Khoury; Janice Carrozzella; Thomas Tomsick
Journal:  Stroke       Date:  2005-10-13       Impact factor: 7.914

5.  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

6.  Selective neuronal loss in rescued penumbra relates to initial hypoperfusion.

Authors:  J V Guadagno; P S Jones; F I Aigbirhio; D Wang; T D Fryer; D J Day; N Antoun; I Nimmo-Smith; E A Warburton; J C Baron
Journal:  Brain       Date:  2008-08-04       Impact factor: 13.501

Review 7.  Viability thresholds and the penumbra of focal ischemia.

Authors:  K A Hossmann
Journal:  Ann Neurol       Date:  1994-10       Impact factor: 10.422

8.  Optimal Tmax threshold for predicting penumbral tissue in acute stroke.

Authors:  Jean-Marc Olivot; Michael Mlynash; Vincent N Thijs; Stephanie Kemp; Maarten G Lansberg; Lawrence Wechsler; Roland Bammer; Michael P Marks; Gregory W Albers
Journal:  Stroke       Date:  2008-12-24       Impact factor: 7.914

9.  Perfusion MRI (Tmax and MTT) correlation with xenon CT cerebral blood flow in stroke patients.

Authors:  J-M Olivot; M Mlynash; G Zaharchuk; M Straka; R Bammer; N Schwartz; M G Lansberg; M E Moseley; G W Albers
Journal:  Neurology       Date:  2009-03-31       Impact factor: 9.910

10.  How reliable is perfusion MR in acute stroke? Validation and determination of the penumbra threshold against quantitative PET.

Authors:  Masashi Takasawa; P Simon Jones; Joseph V Guadagno; Soren Christensen; Tim D Fryer; Sally Harding; Jonathan H Gillard; Guy B Williams; Franklin I Aigbirhio; Elizabeth A Warburton; Leif Østergaard; Jean-Claude Baron
Journal:  Stroke       Date:  2008-02-07       Impact factor: 7.914

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  43 in total

1.  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

2.  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

3.  Relative cerebral blood volume is associated with collateral status and infarct growth in stroke patients in SWIFT PRIME.

Authors:  Juan F Arenillas; Elisa Cortijo; Pablo García-Bermejo; Elad I Levy; Reza Jahan; David Liebeskind; Mayank Goyal; Jeffrey L Saver; Gregory W Albers
Journal:  J Cereb Blood Flow Metab       Date:  2017-11-14       Impact factor: 6.200

4.  Magnetic Resonance Imaging in Acute Ischemic Stroke Patients with Mild Symptoms: An Opportunity to Standardize Intravenous Thrombolysis.

Authors:  Tyler A Brown; Marie Luby; Jignesh Shah; Dimitrios Giannakidis; Lawrence L Latour
Journal:  J Stroke Cerebrovasc Dis       Date:  2015-05-18       Impact factor: 2.136

5.  Relationships between brain perfusion and early recanalization after intravenous thrombolysis for acute stroke with large vessel occlusion.

Authors:  Pierre Seners; Guillaume Turc; Stéphanie Lion; Jean-Philippe Cottier; Tae-Hee Cho; Caroline Arquizan; Serge Bracard; Canan Ozsancak; Laurence Legrand; Olivier Naggara; Séverine Debiais; Yves Berthezene; Vincent Costalat; Sébastien Richard; Christophe Magni; Norbert Nighoghossian; Ana-Paula Narata; Cyril Dargazanli; Benjamin Gory; Jean-Louis Mas; Catherine Oppenheim; Jean-Claude Baron
Journal:  J Cereb Blood Flow Metab       Date:  2019-03-19       Impact factor: 6.200

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

Authors:  Hayley M Wheeler; Michael Mlynash; Manabu Inoue; Aaryani Tipirnini; John Liggins; Roland Bammer; Maarten G Lansberg; Stephanie Kemp; Greg Zaharchuk; Matus Straka; Gregory W Albers
Journal:  Int J Stroke       Date:  2015-01-12       Impact factor: 5.266

7.  Outcomes of Thrombectomy in Transferred Patients With Ischemic Stroke in the Late Window: A Subanalysis From the DEFUSE 3 Trial.

Authors:  Amrou Sarraj; Michael Mlynash; Sean I Savitz; Jeremy J Heit; Maarten G Lansberg; Michael P Marks; Gregory W Albers
Journal:  JAMA Neurol       Date:  2019-06-01       Impact factor: 18.302

8.  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

9.  Added assessment of middle cerebral artery and atrial fibrillation to FLAIR vascular hyperintensity-DWI mismatch would improve the outcome prediction of acute infarction in patients with acute internal carotid artery occlusion.

Authors:  Tao Yuan; Guoli Ren; Xianning Hu; Lina Geng; Xueqing Li; Shuang Xia; Guanmin Quan
Journal:  Neurol Sci       Date:  2019-08-07       Impact factor: 3.307

10.  MR Perfusion to Determine the Status of Collaterals in Patients with Acute Ischemic Stroke: A Look Beyond Time Maps.

Authors:  K Nael; A Doshi; R De Leacy; J Puig; M Castellanos; J Bederson; T P Naidich; J Mocco; M Wintermark
Journal:  AJNR Am J Neuroradiol       Date:  2017-12-07       Impact factor: 3.825

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