Literature DB >> 28155584

Prediction of final infarct volume on subacute MRI by quantifying cerebral edema in ischemic stroke.

Aaryani Tipirneni-Sajja1,2,3, Soren Christensen1, Matus Straka1, Manabu Inoue4, Maarten G Lansberg1, Michael Mlynash1, Roland Bammer1, Mark W Parsons5, Geoffrey A Donnan6, Stephen M Davis7, Gregory W Albers1.   

Abstract

Final infarct volume in stroke trials is assessed on images obtained between 30 and 90 days after stroke onset. Imaging at such delayed timepoints is problematic because patients may be lost to follow-up or die before the scan. Obtaining an early assessment of infarct volume on subacute scans avoids these limitations; however, it overestimates true infarct volume because of edema. The aim of this study was to develop a novel approach to quantify edema so that final infarct volumes can be approximated on subacute scans. We analyzed data from 20 stroke patients (median age, 75 years) who had baseline, subacute (fu5d) and late (fu90d) MRI scans. Edema displaces CSF from sulci and ventricles; therefore, edema volume was estimated as change in CSF volume between baseline and spatially coregistered fu5d ADC maps. The median (interquartile range, IQR) estimated edema volume was 13.3 (7.5-37.7) mL. The fu5d lesion volumes correlated well with fu90d infarct volumes with slope: 1.24. With edema correction, fu5d infarct volumes are in close agreement, slope: 0.97 and strongly correlated with actual fu90d volumes. The median (IQR) difference between actual and predicted infarct volumes was 0.1 (-3.0-5.7) mL. In summary, this novel technique for estimation of edema allows final infarct volume to be predicted from subacute MRI.

Entities:  

Keywords:  Apparent diffusion coefficient; edema; infarct volume; magnetic resonance imaging; stroke; subacute

Mesh:

Substances:

Year:  2016        PMID: 28155584      PMCID: PMC5536812          DOI: 10.1177/0271678X16683960

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


  13 in total

1.  Diffusion MRI: apparent diffusion coefficient (ADC) values in the normal brain and a classification of brain disorders based on ADC values.

Authors:  R N Sener
Journal:  Comput Med Imaging Graph       Date:  2001 Jul-Aug       Impact factor: 4.790

2.  RAPID automated patient selection for reperfusion therapy: a pooled analysis of the Echoplanar Imaging Thrombolytic Evaluation Trial (EPITHET) and the Diffusion and Perfusion Imaging Evaluation for Understanding Stroke Evolution (DEFUSE) Study.

Authors:  Maarten G Lansberg; Jun Lee; Soren Christensen; Matus Straka; Deidre A De Silva; Michael Mlynash; Bruce C Campbell; Roland Bammer; Jean-Marc Olivot; Patricia Desmond; Stephen M Davis; Geoffrey A Donnan; Gregory W Albers
Journal:  Stroke       Date:  2011-04-14       Impact factor: 7.914

3.  Magnetic resonance imaging profiles predict clinical response to early reperfusion: the diffusion and perfusion imaging evaluation for understanding stroke evolution (DEFUSE) study.

Authors:  Gregory W Albers; Vincent N Thijs; Lawrence Wechsler; Stephanie Kemp; Gottfried Schlaug; Elaine Skalabrin; Roland Bammer; Wataru Kakuda; Maarten G Lansberg; Ashfaq Shuaib; William Coplin; Scott Hamilton; Michael Moseley; Michael P Marks
Journal:  Ann Neurol       Date:  2006-11       Impact factor: 10.422

4.  Evolution of cerebral infarct volume assessed by diffusion-weighted magnetic resonance imaging.

Authors:  M G Lansberg; M W O'Brien; D C Tong; M E Moseley; G W Albers
Journal:  Arch Neurol       Date:  2001-04

5.  Evolution of apparent diffusion coefficient, diffusion-weighted, and T2-weighted signal intensity of acute stroke.

Authors:  M G Lansberg; V N Thijs; M W O'Brien; J O Ali; A J de Crespigny; D C Tong; M E Moseley; G W Albers
Journal:  AJNR Am J Neuroradiol       Date:  2001-04       Impact factor: 3.825

6.  Longitudinal magnetic resonance imaging study of perfusion and diffusion in stroke: evolution of lesion volume and correlation with clinical outcome.

Authors:  C Beaulieu; A de Crespigny; D C Tong; M E Moseley; G W Albers; M P Marks
Journal:  Ann Neurol       Date:  1999-10       Impact factor: 10.422

7.  Validating imaging biomarkers of cerebral edema in patients with severe ischemic stroke.

Authors:  Albert J Yoo; Kevin N Sheth; W Taylor Kimberly; Zeshan A Chaudhry; Jordan J Elm; Sven Jacobson; Stephen M Davis; Geoffrey A Donnan; Gregory W Albers; Barney J Stern; R Gilberto González
Journal:  J Stroke Cerebrovasc Dis       Date:  2012-02-09       Impact factor: 2.136

8.  Establishing final infarct volume: stroke lesion evolution past 30 days is insignificant.

Authors:  Martin R Gaudinski; Erica C Henning; Aaron Miracle; Marie Luby; Steven Warach; Lawrence L Latour
Journal:  Stroke       Date:  2008-07-17       Impact factor: 7.914

9.  Cerebral spinal fluid contamination of the measurement of the apparent diffusion coefficient of water in acute stroke.

Authors:  Lawrence L Latour; Steven Warach
Journal:  Magn Reson Med       Date:  2002-09       Impact factor: 4.668

10.  Expediting MRI-based proof-of-concept stroke trials using an earlier imaging end point.

Authors:  Martin Ebinger; Soren Christensen; Deidre A De Silva; Mark W Parsons; Christopher R Levi; Kenneth S Butcher; Christopher F Bladin; P Alan Barber; Geoffrey A Donnan; Stephen M Davis
Journal:  Stroke       Date:  2009-02-26       Impact factor: 7.914

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  9 in total

1.  Ischemic lesion growth in acute stroke: Water uptake quantification distinguishes between edema and tissue infarct.

Authors:  Gabriel Broocks; Uta Hanning; Tobias D Faizy; Alexandra Scheibel; Jawed Nawabi; Gerhard Schön; Nils D Forkert; Soenke Langner; Jens Fiehler; Susanne Gellißen; Andre Kemmling
Journal:  J Cereb Blood Flow Metab       Date:  2019-05-09       Impact factor: 6.200

Review 2.  Automated quantitative assessment of cerebral edema after ischemic stroke using CSF volumetrics.

Authors:  Rajat Dhar
Journal:  Neurosci Lett       Date:  2020-02-29       Impact factor: 3.046

3.  Reduction in Cerebrospinal Fluid Volume as an Early Quantitative Biomarker of Cerebral Edema After Ischemic Stroke.

Authors:  Rajat Dhar; Yasheng Chen; Ali Hamzehloo; Atul Kumar; Laura Heitsch; June He; Ling Chen; Agnieszka Slowik; Daniel Strbian; Jin-Moo Lee
Journal:  Stroke       Date:  2019-12-10       Impact factor: 7.914

4.  D* from diffusion MRI reveals a correspondence between ventricular cerebrospinal fluid volume and flow in the ischemic rodent model.

Authors:  MinJung Jang; SoHyun Han; HyungJoon Cho
Journal:  J Cereb Blood Flow Metab       Date:  2021-11-19       Impact factor: 6.960

5.  Infarct Growth despite Successful Endovascular Reperfusion in Acute Ischemic Stroke: A Meta-analysis.

Authors:  F Bala; J Ospel; B Mulpur; B J Kim; J Yoo; B K Menon; M Goyal; C Federau; S-I Sohn; M S Hussain; M A Almekhlafi
Journal:  AJNR Am J Neuroradiol       Date:  2021-06-03       Impact factor: 4.966

6.  ABCA1/ApoE/HDL Signaling Pathway Facilitates Myelination and Oligodendrogenesis after Stroke.

Authors:  Li Li; Rongwen Li; Alex Zacharek; Fengjie Wang; Julie Landschoot-Ward; Michael Chopp; Jieli Chen; Xu Cui
Journal:  Int J Mol Sci       Date:  2020-06-19       Impact factor: 5.923

7.  Progression of cerebral infarction before and after thrombectomy is modified by prehospital pathways.

Authors:  Alexander M Kollikowski; Franziska Cattus; Julia Haag; Jörn Feick; Alexander G März; Franziska Weidner; Michael K Schuhmann; Wolfgang Müllges; Guido Stoll; Mirko Pham; Marc Strinitz
Journal:  J Neurointerv Surg       Date:  2021-05-13       Impact factor: 8.572

8.  Quantifying Infarct Growth and Secondary Injury Volumes: Comparing Multimodal Image Registration Measures.

Authors:  George W J Harston; Davide Carone; Fintan Sheerin; Mark Jenkinson; James Kennedy
Journal:  Stroke       Date:  2018-06-12       Impact factor: 7.914

9.  An amplitude-based characteristic parameter extraction algorithm for cerebral edema detection based on electromagnetic induction.

Authors:  Jingbo Chen; Gen Li; Huayou Liang; Shuanglin Zhao; Jian Sun; Mingxin Qin
Journal:  Biomed Eng Online       Date:  2021-08-03       Impact factor: 2.819

  9 in total

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