Literature DB >> 15472086

Improved prediction of final infarct volume using bolus delay-corrected perfusion-weighted MRI: implications for the ischemic penumbra.

Stephen E Rose1, Andrew L Janke, Mark Griffin, Simon Finnigan, Jonathan B Chalk.   

Abstract

BACKGROUND AND
PURPOSE: Magnetic resonance imaging (MRI)-based perfusion measures using dynamic susceptibility contrast are extremely useful for identification of ischemic penumbral tissue in acute stroke. However, errors in the measurement of cerebral blood flow (CBF) and mean transit time (MTT) can occur. The aim of this study was to investigate whether bolus delay-corrected (BDC) perfusion measures enable better delineation of the ischemic penumbra.
METHODS: Diffusion-weighted MRI (DWI) and perfusion-weighted MRI data were acquired from 19 acute stroke patients. Perfusion abnormalities were manually defined on BDC perfusion maps (corrected MTT [cMTT] and corrected CBF [cCBF]), and on maps derived from an arterial input function placed within the contralateral (CBF, MTT) and ipsilateral (ipsilateral CBF [iCBF] and ipsilateral MTT [iMTT]) middle cerebral artery. Perfusion lesion volumes were correlated with 30-day T2-weighted MRI lesion volumes and with clinical outcome using the National Institutes of Health Stroke Scale (NIHSS).
RESULTS: Spearman correlation coefficients for comparing lesion volumes delineated on DWI, CBF, iCBF, cCBF, MTT, iMTT, and cMTT maps with 30-day T2-weighted lesion volumes were 0.72, 0.87, 0.88, 0.90, 0.84, 0.92, and 0.96, respectively (all P<0.001). The analogous correlation coefficients for comparing 30-day National Institutes of Health Stroke Scale (NIHSS) scores were 0.39 (NS), 0.69 (NS), 0.75 (P<0.001), 0.62 (NS), 0.72 (P<0.001), 0.78 (P<0.001), and 0.83 (P<0.001), respectively.
CONCLUSIONS: Uncorrected perfusion lesion volumes overestimated the extent of ischemic injury. BDC perfusion measures (cMTT) correlated more accurately with final lesion volume and clinical outcome. Such measures offer an improved estimation of the final infarct size in acute stroke.

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Mesh:

Year:  2004        PMID: 15472086     DOI: 10.1161/01.STR.0000145199.64907.5a

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


  10 in total

1.  Infarct Evolution in a Large Animal Model of Middle Cerebral Artery Occlusion.

Authors:  Mohammed Salman Shazeeb; Robert M King; Olivia W Brooks; Ajit S Puri; Nils Henninger; Johannes Boltze; Matthew J Gounis
Journal:  Transl Stroke Res       Date:  2019-09-03       Impact factor: 6.829

2.  Modeling Dynamic Contrast-Enhanced MRI Data with a Constrained Local AIF.

Authors:  Chong Duan; Jesper F Kallehauge; Carlos J Pérez-Torres; G Larry Bretthorst; Scott C Beeman; Kari Tanderup; Joseph J H Ackerman; Joel R Garbow
Journal:  Mol Imaging Biol       Date:  2018-02       Impact factor: 3.488

Review 3.  MR perfusion imaging in acute ischemic stroke.

Authors:  William A Copen; Pamela W Schaefer; Ona Wu
Journal:  Neuroimaging Clin N Am       Date:  2011-05       Impact factor: 2.264

Review 4.  Imaging the penumbra in acute stroke.

Authors:  Ramez R Moustafa; Jean-Claude Baron
Journal:  Curr Atheroscler Rep       Date:  2006-07       Impact factor: 5.113

5.  Accuracy and reliability assessment of CT and MR perfusion analysis software using a digital phantom.

Authors:  Kohsuke Kudo; Soren Christensen; Makoto Sasaki; Leif Østergaard; Hiroki Shirato; Kuniaki Ogasawara; Max Wintermark; Steven Warach
Journal:  Radiology       Date:  2012-12-06       Impact factor: 11.105

Review 6.  Pathophysiology of ischaemic stroke: insights from imaging, and implications for therapy and drug discovery.

Authors:  R R Moustafa; J-C Baron
Journal:  Br J Pharmacol       Date:  2007-11-26       Impact factor: 8.739

Review 7.  Perfusion MRI: the five most frequently asked clinical questions.

Authors:  Marco Essig; Thanh Binh Nguyen; Mark S Shiroishi; Marc Saake; James M Provenzale; David S Enterline; Nicoletta Anzalone; Arnd Dörfler; Àlex Rovira; Max Wintermark; Meng Law
Journal:  AJR Am J Roentgenol       Date:  2013-09       Impact factor: 3.959

8.  A Comparison of Relative Time to Peak and Tmax for Mismatch-Based Patient Selection.

Authors:  Anke Wouters; Søren Christensen; Matus Straka; Michael Mlynash; John Liggins; Roland Bammer; Vincent Thijs; Robin Lemmens; Gregory W Albers; Maarten G Lansberg
Journal:  Front Neurol       Date:  2017-10-13       Impact factor: 4.003

9.  Comparison of Different Post-Processing Algorithms for Dynamic Susceptibility Contrast Perfusion Imaging of Cerebral Gliomas.

Authors:  Kohsuke Kudo; Ikuko Uwano; Toshinori Hirai; Ryuji Murakami; Hideo Nakamura; Noriyuki Fujima; Fumio Yamashita; Jonathan Goodwin; Satomi Higuchi; Makoto Sasaki
Journal:  Magn Reson Med Sci       Date:  2016-09-20       Impact factor: 2.471

Review 10.  Clinical review: Imaging in ischaemic stroke--implications for acute management.

Authors:  Ramez Reda Moustafa; Jean-Claude Baron
Journal:  Crit Care       Date:  2007       Impact factor: 9.097

  10 in total

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