Literature DB >> 10894174

Cerebral hemodynamics in human acute ischemic stroke: a study with diffusion- and perfusion-weighted magnetic resonance imaging and SPECT.

Y Liu1, J O Karonen, R L Vanninen, L Ostergaard, R Roivainen, J Nuutinen, J Perkiö, M Könönen, A Hämäläinen, E J Vanninen, S Soimakallio, J T Kuikka, H J Aronen.   

Abstract

Nineteen patients with acute ischemic stroke (<24 hours) underwent diffusion-weighted and perfusion-weighted (PWI) magnetic resonance imaging at the acute stage and 1 week later. Eleven patients also underwent technetium-99m ethyl cysteinate dimer single-photon emission computed tomography (SPECT) at the acute stage. Relative (ischemic vs. contralateral control) cerebral blood flow (relCBF), relative cerebral blood volume, and relative mean transit time were measured in the ischemic core, in the area of infarct growth, and in the eventually viable ischemic tissue on PWI maps. The relCBF was also measured from SPECT. There was a curvilinear relationship between the relCBF measured from PWI and SPECT (r = 0.854; P < 0.001). The tissue proceeding to infarction during the follow-up had significantly lower initial CBF and cerebral blood volume values on PWI maps (P < 0.001) than the eventually viable ischemic tissue had. The best value for discriminating the area of infarct growth from the eventually viable ischemic tissue was 48% for PWI relCBF and 87% for PWI relative cerebral blood volume. Combined diffusion and perfusion-weighted imaging enables one to detect hemodynamically different subregions inside the initial perfusion abnormality. Tissue survival may be different in these subregions and may be predicted.

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Year:  2000        PMID: 10894174     DOI: 10.1097/00004647-200006000-00003

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


  13 in total

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Authors:  Thomas Kucinski; Amitava Majumder; René Knab; Dirk Naumann; Jens Fiehler; Ole Väterlein; Bernd Eckert; Joachim Röther; Hermann Zeumer
Journal:  Neuroradiology       Date:  2004-09       Impact factor: 2.804

2.  First-pass quantitative CT perfusion identifies thresholds for salvageable penumbra in acute stroke patients treated with intra-arterial therapy.

Authors:  P W Schaefer; L Roccatagliata; C Ledezma; B Hoh; L H Schwamm; W Koroshetz; R G Gonzalez; M H Lev
Journal:  AJNR Am J Neuroradiol       Date:  2006-01       Impact factor: 3.825

3.  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

4.  Developmental Venous Anomalies Mimicking Neoplasm on 11C-Methionine PET and DSC Perfusion MRI.

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Authors:  Woo June Choi; Yuandong Li; Ruikang K Wang
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Review 6.  Cerebral artery myogenic reactivity: The next frontier in developing effective interventions for subarachnoid hemorrhage.

Authors:  Darcy Lidington; Jeffrey T Kroetsch; Steffen-Sebastian Bolz
Journal:  J Cereb Blood Flow Metab       Date:  2017-11-14       Impact factor: 6.200

7.  Assessment of tissue viability using diffusion- and perfusion-weighted MRI in hyperacute stroke.

Authors:  Won-Jin Moon; Dong Gyu Na; Jae Wook Ryoo; Hong Gee Roh; Hong Sik Byun; Yong Hwan Chon; Eun Chul Chung
Journal:  Korean J Radiol       Date:  2005 Apr-Jun       Impact factor: 3.500

8.  The study of cerebral hemodynamics in the hyperacute stage of fat embolism induced by triolein emulsion.

Authors:  Y W Kim; H J Kim; B M Cho; T Y Moon; C K Eun
Journal:  AJNR Am J Neuroradiol       Date:  2006-02       Impact factor: 3.825

9.  Detecting the subregion proceeding to infarction in hypoperfused cerebral tissue: a study with diffusion and perfusion weighted MRI.

Authors:  Y Liu; J O Karonen; R L Vanninen; J Nuutinen; J Perkiö; P A Vainio; S Soimakallio; H J Aronen
Journal:  Neuroradiology       Date:  2003-05-16       Impact factor: 2.804

10.  Detecting stripe artifacts in ultrasound images.

Authors:  Adam Maciak; Christian Kier; Günter Seidel; Karsten Meyer-Wiethe; Ulrich G Hofmann
Journal:  J Digit Imaging       Date:  2007-07-25       Impact factor: 4.056

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