Literature DB >> 11997538

Which MR-derived perfusion parameters are the best predictors of infarct growth in hyperacute stroke? Comparative study between relative and quantitative measurements.

Cécile B Grandin1, Thierry P Duprez, Anne M Smith, Catherine Oppenheim, André Peeters, Annie R Robert, Guy Cosnard.   

Abstract

PURPOSE: To compare predictors of infarct growth in hyperacute stroke from a retrospective review of various relative and quantitative parameters calculated at perfusion-weighted magnetic resonance (MR) imaging performed within 6 hours after ictus.
MATERIALS AND METHODS: Fluid-attenuated inversion recovery and diffusion- and perfusion-weighted images were obtained in 66 patients. The initial infarct was delineated on diffusion-weighted images; the hemodynamic disturbance, on apparent mean transit time (MTT) maps; and the final infarct, on follow-up fluid-attenuated inversion recovery images. Relative (without and with deconvolution) and quantitative values of the bolus arrival time, time to peak (TTP), apparent MTT or MTT, cerebral blood volume (CBV), peak height, and cerebral blood flow (CBF) index or CBF were calculated for initial infarct, infarct growth (final minus initial infarct contour), viable hemodynamic disturbance (apparent MTT minus final infarct contour), and contralateral mirror regions. Univariate and multivariate analyses (receiver operating characteristic curves and discriminant analysis) were performed to compare the diagnostic performance of these parameters for predicting infarct growth.
RESULTS: At univariate analysis, relative peak height and quantitative CBF were the best predictors of infarct growth; at multivariate analysis, a function of peak height and TTP for relative measurements and CBF alone for quantitative measurements. Quantitative and relative measurements (without or with deconvolution) worked equally well. A combined relative peak height or TTP threshold (<54% or >5.2 seconds, respectively) had a sensitivity of 71% and a specificity of 98%. A quantitative CBF threshold (<35 mL/min/100 g) had a sensitivity of 69% and a specificity of 85%.
CONCLUSION: A combination of relative peak height and TTP measurements allowed the best prediction of infarct growth, which obviates more complex quantitative calculation. Copyright RSNA, 2002

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Year:  2002        PMID: 11997538     DOI: 10.1148/radiol.2232010673

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  46 in total

1.  [Multimodal computed tomography in acute cerebral infarction. Experience with a standardized protocol in 100 patients].

Authors:  R Handschu; S Fateh-Moghadam; E Klotz; A Schmid; B Stemper; J G Heckmann; W J Huk; B Neundörfer; B F Tomandl
Journal:  Nervenarzt       Date:  2004-06       Impact factor: 1.214

Review 2.  The alphabet soup of perfusion CT and MR imaging: terminology revisited and clarified in five questions.

Authors:  Carlos Leiva-Salinas; James M Provenzale; Kohsuke Kudo; Makoto Sasaki; Max Wintermark
Journal:  Neuroradiology       Date:  2012-04-10       Impact factor: 2.804

3.  Therapeutic results of intra-arterial thrombolysis after full-dose intravenous tissue plasminogen activator administration.

Authors:  D-S Yoo; Y-D Won; P-W Huh; H-E Shin; K-T Kim; S-G Kang; S-B Lee; K-S Cho
Journal:  AJNR Am J Neuroradiol       Date:  2010-04-15       Impact factor: 3.825

4.  Impact of genetic and renovascular chronic arterial hypertension on the acute spatiotemporal evolution of the ischemic penumbra: a sequential study with MRI in the rat.

Authors:  Annelise Letourneur; Simon Roussel; Jérôme Toutain; Myriam Bernaudin; Omar Touzani
Journal:  J Cereb Blood Flow Metab       Date:  2010-07-21       Impact factor: 6.200

5.  Arterial spin labeling at 3.0 Tesla in subacute ischemia: comparison to dynamic susceptibility perfusion.

Authors:  S Huck; H U Kerl; M Al-Zghloul; C Groden; I Nölte
Journal:  Clin Neuroradiol       Date:  2012-01-20       Impact factor: 3.649

Review 6.  Foundations of advanced magnetic resonance imaging.

Authors:  Roland Bammer; Stefan Skare; Rexford Newbould; Chunlei Liu; Vincent Thijs; Stefan Ropele; David B Clayton; Gunnar Krueger; Michael E Moseley; Gary H Glover
Journal:  NeuroRx       Date:  2005-04

7.  Results of the MRI substudy of the intravenous magnesium efficacy in stroke trial.

Authors:  Chelsea S Kidwell; Kennedy R Lees; Keith W Muir; Christopher Chen; Stephen M Davis; Deidre A De Silva; Christopher J Weir; Sidney Starkman; Jeffry R Alger; Jeffrey L Saver
Journal:  Stroke       Date:  2009-03-19       Impact factor: 7.914

8.  Noninvasive measurement of cerebral blood flow and blood oxygenation using near-infrared and diffuse correlation spectroscopies in critically brain-injured adults.

Authors:  Meeri N Kim; Turgut Durduran; Suzanne Frangos; Brian L Edlow; Erin M Buckley; Heather E Moss; Chao Zhou; Guoqiang Yu; Regine Choe; Eileen Maloney-Wilensky; Ronald L Wolf; M Sean Grady; Joel H Greenberg; Joshua M Levine; Arjun G Yodh; John A Detre; W Andrew Kofke
Journal:  Neurocrit Care       Date:  2010-04       Impact factor: 3.210

Review 9.  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

10.  Assessment of brain perfusion with MRI: methodology and application to acute stroke.

Authors:  C B Grandin
Journal:  Neuroradiology       Date:  2003-10-14       Impact factor: 2.804

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