Literature DB >> 25876960

Acute Multi-modal Neuroimaging in a Porcine Model of Endothelin-1-Induced Cerebral Ischemia: Defining the Acute Infarct Core.

Christopher D d'Esterre1, Richard I Aviv, Laura Morrison, Enrico Fainardi, Ting Yim Lee.   

Abstract

In a porcine ischemic stroke model, we sought to compare the acute predicted infarct core volume (PIV) defined by CT perfusion (CTP)-hemodynamic parameters and MR-diffusion-weighted imaging (MR-DWI)/apparent diffusion coefficient (ADC), with the true infarct core volume (TIV) as defined by histology. Ten Duroc-cross pigs had a CTP scan prior to injection of endothelin-1 (ET-1) into the left striatum. CTP scans were used to monitor ischemic progression. A second dose of ET-1 was injected 2 h from the first injection. The animal was moved to a 3-T MRI scanner where DWI was performed. CTP imaging was acquired immediately after the MR imaging. Next, the brain was removed and stained with tetrazolium chloride (TTC). Linear regression and Bland-Altman plots were used to correlate the PIV measured by each imaging modality to that of the TIV from the histological gold standard. The CTP-cerebral blood flow (CBF) parameter had the highest R (2) value and slope closest to unity, while the CTP-cerebral blood volume (CBV) had the lowest R(2) value and slope furthest away from unity. The CTP-CBF • CBV product parameter had a higher R(2) value but lower slope than both MR parameers. The best Bland-Altman agreement was observed with the CTP-CBF parameter. PIV from MR-DWI, ADC, and CTP-CBF overestimated the TIV defined with histology. We show that the PIV defined with absolute gray and white matter CT-CBF thresholds correlates best with the TIV and is similar to both MR-DWI and ADC-defined PIVs. Further, the acute CBF • CBV mismatch may not indicate penumbral tissue in the acute stroke setting.

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Year:  2015        PMID: 25876960     DOI: 10.1007/s12975-015-0394-x

Source DB:  PubMed          Journal:  Transl Stroke Res        ISSN: 1868-4483            Impact factor:   6.829


  32 in total

1.  Perfusion computer tomography: imaging and clinical validation in acute ischaemic stroke.

Authors:  Andrew Bivard; Neil Spratt; Christopher Levi; Mark Parsons
Journal:  Brain       Date:  2011-11       Impact factor: 13.501

2.  Quantitative cerebral blood flow measurement with dynamic perfusion CT using the vascular-pixel elimination method: comparison with H2(15)O positron emission tomography.

Authors:  Kohsuke Kudo; Satoshi Terae; Chietsugu Katoh; Masaki Oka; Tohru Shiga; Nagara Tamaki; Kazuo Miyasaka
Journal:  AJNR Am J Neuroradiol       Date:  2003-03       Impact factor: 3.825

3.  Perfusion CT in acute ischemic stroke: a qualitative and quantitative comparison of deconvolution and maximum slope approach.

Authors:  B Abels; E Klotz; B F Tomandl; S P Kloska; M M Lell
Journal:  AJNR Am J Neuroradiol       Date:  2010-06-25       Impact factor: 3.825

4.  CT perfusion imaging of acute stroke: the need for arrival time, delay insensitive, and standardized postprocessing algorithms?

Authors:  Angelos A Konstas; Michael H Lev
Journal:  Radiology       Date:  2010-01       Impact factor: 11.105

5.  Perfusion imaging in acute ischemic stroke: let us improve the science before changing clinical practice.

Authors:  Mayank Goyal; Bijoy K Menon; Colin P Derdeyn
Journal:  Radiology       Date:  2013-01       Impact factor: 11.105

6.  Cerebral blood flow is the optimal CT perfusion parameter for assessing infarct core.

Authors:  Bruce C V Campbell; Søren Christensen; Christopher R Levi; Patricia M Desmond; Geoffrey A Donnan; Stephen M Davis; Mark W Parsons
Journal:  Stroke       Date:  2011-10-06       Impact factor: 7.914

7.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

8.  Does a relative perfusion measure predict cerebral infarct size?

Authors:  Tobias Engelhorn; Arnd Doerfler; Michael Forsting; Gerd Heusch; Rainer Schulz
Journal:  AJNR Am J Neuroradiol       Date:  2005-10       Impact factor: 3.825

9.  Infarct volume quantification in mouse focal cerebral ischemia: a comparison of triphenyltetrazolium chloride and cresyl violet staining techniques.

Authors:  Kudret Türeyen; Raghu Vemuganti; Kurt A Sailor; Robert J Dempsey
Journal:  J Neurosci Methods       Date:  2004-10-30       Impact factor: 2.390

10.  Prediction of subacute infarct size in acute middle cerebral artery stroke: comparison of perfusion-weighted imaging and apparent diffusion coefficient maps.

Authors:  Aurélie Drier; Thomas Tourdias; Yohan Attal; Igor Sibon; Gurkan Mutlu; Stéphane Lehéricy; Yves Samson; Jacques Chiras; Didier Dormont; Jean-Marc Orgogozo; Vincent Dousset; Charlotte Rosso
Journal:  Radiology       Date:  2012-08-24       Impact factor: 11.105

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  5 in total

1.  Severity-Dependent Long-Term Spatial Learning-Memory Impairment in a Mouse Model of Traumatic Brain Injury.

Authors:  Chengrui An; Xiaoyan Jiang; Hongjian Pu; Dandan Hong; Wenting Zhang; Xiaoming Hu; Yanqin Gao
Journal:  Transl Stroke Res       Date:  2016-08-18       Impact factor: 6.829

2.  Absolute cerebral blood flow: Assessment with a novel low-radiation-dose dynamic CT perfusion technique in a swine model.

Authors:  Pablo Abbona; Yixiao Zhao; Logan Hubbard; Shant Malkasian; Brooklynn Flynn; Sabee Molloi
Journal:  J Neuroradiol       Date:  2021-10-09       Impact factor: 4.600

3.  For the pursuit of oxygen and carbon dioxide channels in mitochondria.

Authors:  Shao-Hua Yang; Ran Liu
Journal:  Med Gas Res       Date:  2016-12-30

4.  Absolute Cerebral Blood Flow Infarction Threshold for 3-Hour Ischemia Time Determined with CT Perfusion and 18F-FFMZ-PET Imaging in a Porcine Model of Cerebral Ischemia.

Authors:  Eric A Wright; Christopher D d'Esterre; Laura B Morrison; Neil Cockburn; Michael Kovacs; Ting-Yim Lee
Journal:  PLoS One       Date:  2016-06-27       Impact factor: 3.240

Review 5.  Relevance of Porcine Stroke Models to Bridge the Gap from Pre-Clinical Findings to Clinical Implementation.

Authors:  Marc Melià-Sorolla; Carlos Castaño; Núria DeGregorio-Rocasolano; Luis Rodríguez-Esparragoza; Antoni Dávalos; Octavi Martí-Sistac; Teresa Gasull
Journal:  Int J Mol Sci       Date:  2020-09-08       Impact factor: 5.923

  5 in total

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