Literature DB >> 22510604

Refining the mismatch concept in acute stroke: lessons learned from PET and MRI.

Jan Sobesky1.   

Abstract

In ischemic stroke, positron-emission tomography (PET) established the imaging-based concept of penumbra. It defines hypoperfused, but functionally impaired, tissue with preserved viability that can be rescued by timely reperfusion. Diffusion-weighted and perfusion-weighted (PW) magnetic resonance imaging (MRI) translated the concept of penumbra to the concept of mismatch. However, the use of mismatch-based patient stratification for reperfusion therapy remains a matter of debate. The equivalence of mismatch and penumbra, as well as the validity of the classical mismatch concept is questioned for several reasons. First, methodological differences between PET and MRI lead to different definitions of the tissue at risk. Second, the mismatch concept is still poorly standardized among imaging facilities causing relevant variability in stroke research. Third, relevant conceptual issues (e.g., the choice of the adequate perfusion measure, the best quantitative approach to perfusion maps, and the required size of the mismatch) need further refinement. Fourth, the use of single thresholds does not account for the physiological heterogeneity of the penumbra and probabilistic approaches may be more promising. The implementation of this current knowledge into an optimized state-of-the-art mismatch model and its validation in clinical stroke studies remains a major challenge for future stroke research.

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Year:  2012        PMID: 22510604      PMCID: PMC3390809          DOI: 10.1038/jcbfm.2012.54

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  90 in total

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Authors:  J Astrup; B K Siesjö; L Symon
Journal:  Stroke       Date:  1981 Nov-Dec       Impact factor: 7.914

2.  Thresholds of focal cerebral ischemia in awake monkeys.

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3.  Noninvasive tomographic study of cerebral blood flow and oxygen metabolism in vivo. Potentials, limitations, and clinical applications in cerebral ischemic disorders.

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Journal:  Eur Neurol       Date:  1981       Impact factor: 1.710

4.  Influence of arterial input function on hypoperfusion volumes measured with perfusion-weighted imaging.

Authors:  Vincent N Thijs; Diederik M Somford; Roland Bammer; Wim Robberecht; Michael E Moseley; Gregory W Albers
Journal:  Stroke       Date:  2003-12-11       Impact factor: 7.914

5.  Cerebral oxygen metabolism and blood flow in human cerebral ischemic infarction.

Authors:  G L Lenzi; R S Frackowiak; T Jones
Journal:  J Cereb Blood Flow Metab       Date:  1982-09       Impact factor: 6.200

Review 6.  Beyond mismatch: evolving paradigms in imaging the ischemic penumbra with multimodal magnetic resonance imaging.

Authors:  Chelsea S Kidwell; Jeffry R Alger; Jeffrey L Saver
Journal:  Stroke       Date:  2003-10-23       Impact factor: 7.914

7.  Diffusion-weighted MR imaging in acute ischemia: value of apparent diffusion coefficient and signal intensity thresholds in predicting tissue at risk and final infarct size.

Authors:  Dong Gyu Na; Vincent N Thijs; Gregory W Albers; Michael E Moseley; Michael P Marks
Journal:  AJNR Am J Neuroradiol       Date:  2004-09       Impact factor: 3.825

8.  Outcome of acutely ischemic brain tissue in prolonged middle cerebral artery occlusion: a serial positron emission tomography investigation in the baboon.

Authors:  Cyrille Giffard; Alan R Young; Nacer Kerrouche; Jean-Michel Derlon; Jean-Claude Baron
Journal:  J Cereb Blood Flow Metab       Date:  2004-05       Impact factor: 6.200

9.  The clinical-DWI mismatch: a new diagnostic approach to the brain tissue at risk of infarction.

Authors:  A Dávalos; M Blanco; S Pedraza; R Leira; M Castellanos; J M Pumar; Y Silva; J Serena; J Castillo
Journal:  Neurology       Date:  2004-06-22       Impact factor: 9.910

10.  Probability of cortical infarction predicted by flumazenil binding and diffusion-weighted imaging signal intensity: a comparative positron emission tomography/magnetic resonance imaging study in early ischemic stroke.

Authors:  Wolf-Dieter Heiss; Jan Sobesky; Ulrich v Smekal; Lutz W Kracht; Fritz-Georg Lehnhardt; Alexander Thiel; Andreas H Jacobs; Karl Lackner
Journal:  Stroke       Date:  2004-06-24       Impact factor: 7.914

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  22 in total

1.  Simultaneous PET/MRI in stroke: a case series.

Authors:  Peter Werner; Dorothee Saur; Vilia Zeisig; Barbara Ettrich; Marianne Patt; Bernhard Sattler; Thies Jochimsen; Donald Lobsien; Philipp M Meyer; Florian Then Bergh; Antje Dreyer; Johannes Boltze; Joseph Classen; Dominik Fritzsch; Karl-Titus Hoffmann; Osama Sabri; Henryk Barthel
Journal:  J Cereb Blood Flow Metab       Date:  2015-07-15       Impact factor: 6.200

2.  Leaving the black box approach: individualized prediction of recanalization benefit by advanced imaging in acute stroke.

Authors:  Jan Sobesky
Journal:  J Cereb Blood Flow Metab       Date:  2015-07-08       Impact factor: 6.200

Review 3.  Imaging Guidance for Therapeutic Delivery: The Dawn of Neuroenergetics.

Authors:  Vilakshan Alambyan; Jonathan Pace; Persen Sukpornchairak; Xin Yu; Hamza Alnimir; Ryan Tatton; Gautham Chitturu; Anisha Yarlagadda; Ciro Ramos-Estebanez
Journal:  Neurotherapeutics       Date:  2020-04       Impact factor: 7.620

4.  Intravenous fibrinolysis eligibility: a survey of stroke clinicians' practice patterns and review of the literature.

Authors:  Felipe De Los Rios; Dawn O Kleindorfer; Amy Guzik; Santiago Ortega-Gutierrez; Navdeep Sangha; Gyanendra Kumar; James C Grotta; Jin-Moo Lee; Brett C Meyer; Lee H Schwamm; Pooja Khatri
Journal:  J Stroke Cerebrovasc Dis       Date:  2014-08-10       Impact factor: 2.136

5.  The relationship between blood flow impairment and oxygen depletion in acute ischemic stroke imaged with magnetic resonance imaging.

Authors:  Alexander Seiler; Nicholas P Blockley; Ralf Deichmann; Ulrike Nöth; Oliver C Singer; Michael A Chappell; Johannes C Klein; Marlies Wagner
Journal:  J Cereb Blood Flow Metab       Date:  2017-09-20       Impact factor: 6.200

6.  Fast diffusion kurtosis imaging (DKI) with Inherent COrrelation-based Normalization (ICON) enhances automatic segmentation of heterogeneous diffusion MRI lesion in acute stroke.

Authors:  Iris Yuwen Zhou; Yingkun Guo; Takahiro Igarashi; Yu Wang; Emiri Mandeville; Suk-Tak Chan; Lingyi Wen; Mark Vangel; Eng H Lo; Xunming Ji; Phillip Zhe Sun
Journal:  NMR Biomed       Date:  2016-10-03       Impact factor: 4.044

7.  In vivo tissue injury mapping using optical coherence tomography based methods.

Authors:  Utku Baran; Yuandong Li; Ruikang K Wang
Journal:  Appl Opt       Date:  2015-07-20       Impact factor: 1.980

8.  Susceptibility-diffusion mismatch predicts thrombolytic outcomes: a retrospective cohort study.

Authors:  M Lou; Z Chen; J Wan; H Hu; X Cai; Z Shi; J Sun
Journal:  AJNR Am J Neuroradiol       Date:  2014-07-10       Impact factor: 3.825

9.  Lesion development and reperfusion benefit in relation to vascular occlusion patterns after embolic stroke in rats.

Authors:  Mark J R J Bouts; Ivo A C W Tiebosch; Annette van der Toorn; Jeroen Hendrikse; Rick M Dijkhuizen
Journal:  J Cereb Blood Flow Metab       Date:  2013-12-04       Impact factor: 6.200

10.  Early identification of potentially salvageable tissue with MRI-based predictive algorithms after experimental ischemic stroke.

Authors:  Mark J R J Bouts; Ivo A C W Tiebosch; Annette van der Toorn; Max A Viergever; Ona Wu; Rick M Dijkhuizen
Journal:  J Cereb Blood Flow Metab       Date:  2013-04-10       Impact factor: 6.200

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