Literature DB >> 15914768

Refining the perfusion-diffusion mismatch hypothesis.

K S Butcher1, M Parsons, L MacGregor, P A Barber, J Chalk, C Bladin, C Levi, T Kimber, D Schultz, J Fink, B Tress, G Donnan, S Davis.   

Abstract

BACKGROUND AND
PURPOSE: The Echoplanar Imaging Thrombolysis Evaluation Trial (EPITHET) tests the hypothesis that perfusion-weighted imaging (PWI)-diffusion-weighted imaging (DWI) mismatch predicts the response to thrombolysis. There is no accepted standardized definition of PWI-DWI mismatch. We compared common mismatch definitions in the initial 40 EPITHET patients.
METHODS: Raw perfusion images were used to generate maps of time to peak (TTP), mean transit time (MTT), time to peak of the impulse response (Tmax) and first moment transit time (FMT). DWI, apparent diffusion coefficient (ADC), and PWI volumes were measured with planimetric and thresholding techniques. Correlations between mismatch volume (PWIvol-DWIvol) and DWI expansion (T2(Day 90-vol)-DWI(Acute-vol)) were also assessed.
RESULTS: Mean age was 68+/-11, time to MRI 4.5+/-0.7 hours, and median National Institutes of Health Stroke Scale (NIHSS) score 11 (range 4 to 23). Tmax and MTT hypoperfusion volumes were significantly lower than those calculated with TTP and FMT maps (P<0.001). Mismatch > or =20% was observed in 89% (Tmax) to 92% (TTP/FMT/MTT) of patients. Application of a +4s (relative to the contralateral hemisphere) PWI threshold reduced the frequency of positive mismatch volumes (TTP 73%/FMT 68%/Tmax 54%/MTT 43%). Mismatch was not significantly different when assessed with ADC maps. Mismatch volume, calculated with all parameters and thresholds, was not significantly correlated with DWI expansion. In contrast, reperfusion was correlated inversely with infarct growth (R=-0.51; P=0.009).
CONCLUSIONS: Deconvolution and application of PWI thresholds provide more conservative estimates of tissue at risk and decrease the frequency of mismatch accordingly. The precise definition may not be critical; however, because reperfusion alters tissue fate irrespective of mismatch.

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Year:  2005        PMID: 15914768     DOI: 10.1161/01.str.0000166181.86928.8b

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


  73 in total

1.  Penumbra detection using PWI/DWI mismatch MRI in a rat stroke model with and without comorbidity: comparison of methods.

Authors:  Emma Reid; Delyth Graham; M Rosario Lopez-Gonzalez; William M Holmes; I Mhairi Macrae; Christopher McCabe
Journal:  J Cereb Blood Flow Metab       Date:  2012-06-06       Impact factor: 6.200

2.  Defining an Acidosis-Based Ischemic Penumbra from pH-Weighted MRI.

Authors:  Jinyuan Zhou; Peter C M van Zijl
Journal:  Transl Stroke Res       Date:  2011-10-28       Impact factor: 6.829

3.  Susceptibility of Tmax to tracer delay on perfusion analysis: quantitative evaluation of various deconvolution algorithms using digital phantoms.

Authors:  Kohsuke Kudo; Makoto Sasaki; Leif Østergaard; Soren Christensen; Ikuko Uwano; Masako Suzuki; Kuniaki Ogasawara; Hiroki Shirato; Akira Ogawa
Journal:  J Cereb Blood Flow Metab       Date:  2010-09-22       Impact factor: 6.200

4.  Right hemispatial neglect: frequency and characterization following acute left hemisphere stroke.

Authors:  Jonathan T Kleinman; Melissa Newhart; Cameron Davis; Jennifer Heidler-Gary; Rebecca F Gottesman; Argye E Hillis
Journal:  Brain Cogn       Date:  2006-12-15       Impact factor: 2.310

5.  Reliability of MR perfusion-weighted and diffusion-weighted imaging mismatch measurement methods.

Authors:  M Luby; S Warach
Journal:  AJNR Am J Neuroradiol       Date:  2007-09-20       Impact factor: 3.825

6.  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

7.  Could thrombolytic approaches in acute stroke benefit from stringent selection criteria?

Authors:  Alexandre B Maulaz; Rodrigo Targa Martins; Marlise de Castro Ribeiro; Renata Londero; José Otávio D Soares; Jefferson Gomes Fernandes
Journal:  Nat Clin Pract Neurol       Date:  2009-03

Review 8.  Use of magnetic resonance imaging to predict outcome after stroke: a review of experimental and clinical evidence.

Authors:  Tracy D Farr; Susanne Wegener
Journal:  J Cereb Blood Flow Metab       Date:  2010-01-20       Impact factor: 6.200

9.  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

Review 10.  Susceptibility-weighted imaging: current status and future directions.

Authors:  Saifeng Liu; Sagar Buch; Yongsheng Chen; Hyun-Seok Choi; Yongming Dai; Charbel Habib; Jiani Hu; Joon-Yong Jung; Yu Luo; David Utriainen; Meiyun Wang; Dongmei Wu; Shuang Xia; E Mark Haacke
Journal:  NMR Biomed       Date:  2016-05-18       Impact factor: 4.044

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