Literature DB >> 21113708

Assessment of baseline hemodynamic parameters within infarct progression areas in acute stroke patients using perfusion-weighted MRI.

Thomas Ritzenthaler1, Tae-Hee Cho, Marlène Wiart, Julien Berthiller, Leif Østergaard, Marc Hermier, Laurent Derex, Yves Berthezène, Norbert Nighoghossian.   

Abstract

INTRODUCTION: The value of perfusion MRI for identifying the tissue at risk has been questioned. Our objective was to assess baseline perfusion-weighted imaging parameters within infarct progression areas.
METHODS: Patients with anterior circulation stroke without early reperfusion were included from a prospective MRI database. Sequential MRI examinations were performed on admission, 2-3 h (H2), 2-3 days (D2), and between 15 and 30 days after the initial MRI. Maps of baseline time-to-peak (TTP), mean transit time (MTT), cerebral blood volume (CBV), and cerebral blood flow (CBF) were calculated. Lesion extension areas were defined as pixels showing de novo lesions between each MRI and were generated by subtracting successive lesion masks: V(0), baseline diffusion-weighted imaging (DWI) lesion; V(1), lesion extension between baseline and H2 DWI; V(2), lesion extension from H2 to D2 DWI; and V(3), lesion extension from D2 DWI to final FLAIR. Repeated measures analysis was used to compare hemodynamic parameters within the baseline diffusion lesion and subsequent lesion extension areas.
RESULTS: Thirty-two patients were included. Baseline perfusion parameters were significantly more impaired within the acute DWI lesion compared to lesion extension areas (TTP, p < 0.0001; MTT, p < 0.0001; CBF p < 0.0001; CBV, p < 0.0001). A significant decrease in MTT (p = 0.01) and TTP (p = 0.01) was found within successive lesion growth areas.
CONCLUSION: A decreasing gradient of severity for TTP and MTT was observed within successive infarct growth areas.

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Year:  2010        PMID: 21113708     DOI: 10.1007/s00234-010-0793-3

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  30 in total

1.  Tissue at risk is overestimated in perfusion-weighted imaging: MR imaging in acute stroke patients without vessel recanalization.

Authors:  Thomas Kucinski; Dirk Naumann; René Knab; Volker Schoder; Susanne Wegener; Jens Fiehler; Amitava Majumder; Joachim Röther; Hermann Zeumer
Journal:  AJNR Am J Neuroradiol       Date:  2005-04       Impact factor: 3.825

2.  Perfusion differences on SPECT and PWI in patients with acute ischemic stroke.

Authors:  Juho Nuutinen; Yawu Liu; Mikko P Laakso; Jari O Karonen; Esko J Vanninen; Jyrki T Kuikka; Hannu J Aronen; Ritva L Vanninen
Journal:  Neuroradiology       Date:  2009-07-22       Impact factor: 2.804

3.  Clinical outcome in ischemic stroke predicted by early diffusion-weighted and perfusion magnetic resonance imaging: a preliminary analysis.

Authors:  S Warach; J F Dashe; R R Edelman
Journal:  J Cereb Blood Flow Metab       Date:  1996-01       Impact factor: 6.200

4.  Enlargement of human cerebral ischemic lesion volumes measured by diffusion-weighted magnetic resonance imaging.

Authors:  A E Baird; A Benfield; G Schlaug; B Siewert; K O Lövblad; R R Edelman; S Warach
Journal:  Ann Neurol       Date:  1997-05       Impact factor: 10.422

5.  Usefulness of magnetic resonance-derived quantitative measurements of cerebral blood flow and volume in prediction of infarct growth in hyperacute stroke.

Authors:  C B Grandin; T P Duprez; A M Smith; F Mataigne; A Peeters; C Oppenheim; G Cosnard
Journal:  Stroke       Date:  2001-05       Impact factor: 7.914

6.  Which time-to-peak threshold best identifies penumbral flow? A comparison of perfusion-weighted magnetic resonance imaging and positron emission tomography in acute ischemic stroke.

Authors:  J Sobesky; O Zaro Weber; F-G Lehnhardt; V Hesselmann; A Thiel; C Dohmen; A Jacobs; M Neveling; W-D Heiss
Journal:  Stroke       Date:  2004-10-28       Impact factor: 7.914

Review 7.  Acute stroke magnetic resonance imaging: current status and future perspective.

Authors:  Stephan P Kloska; Max Wintermark; Tobias Engelhorn; Jochen B Fiebach
Journal:  Neuroradiology       Date:  2009-12-05       Impact factor: 2.804

8.  Identifying thresholds for penumbra and irreversible tissue damage.

Authors:  Wolf-Dieter Heiss; Jan Sobesky; Volker Hesselmann
Journal:  Stroke       Date:  2004-09-30       Impact factor: 7.914

9.  Geography, structure, and evolution of diffusion and perfusion lesions in Diffusion and perfusion imaging Evaluation For Understanding Stroke Evolution (DEFUSE).

Authors:  Jean-Marc Olivot; Michael Mlynash; Vincent N Thijs; Archana Purushotham; Stephanie Kemp; Maarten G Lansberg; Lawrence Wechsler; Garry E Gold; Roland Bammer; Michael P Marks; Gregory W Albers
Journal:  Stroke       Date:  2009-08-13       Impact factor: 7.914

10.  Reliability of assessing percentage of diffusion-perfusion mismatch.

Authors:  Shelagh B Coutts; Jessica E Simon; Anna I Tomanek; Philip A Barber; Jean Chan; Mark E Hudon; J Ross Mitchell; Richard Frayne; Michael Eliasziw; Alastair M Buchan; Andrew M Demchuk
Journal:  Stroke       Date:  2003-06-12       Impact factor: 7.914

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  1 in total

1.  Spatial distribution of perfusion abnormality in acute MCA occlusion is associated with likelihood of later recanalization.

Authors:  Susanne Siemonsen; Nils Daniel Forkert; Anne Hansen; Andre Kemmling; Götz Thomalla; Jens Fiehler
Journal:  J Cereb Blood Flow Metab       Date:  2014-01-29       Impact factor: 6.200

  1 in total

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