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Title

Infarct volume prediction using apparent diffusion coefficient maps during middle cerebral artery occlusion and soon after reperfusion in the rat

AuthorsTudela, Raúl; Soria, Guadalupe ; Pérez-de-Puig, Isabel ; Ros, Domènec; Pavía, Javier; Planas, Anna M.
KeywordsMagnetic resonance imaging (MRI)
Apparent diffusion coefficient (ADC)
Stroke animal models
Ischemic stroke
Issue Date14-Aug-2014
PublisherElsevier
CitationBrain Research 1583(1): 169-178 (2014)
AbstractMiddle cerebral artery occlusion (MCAO) in rodents causes brain infarctions of variable sizes that depend on multiple factors, particularly in models of ischemia/reperfusion. This is a major problem for infarct volume comparisons between different experimental groups since unavoid-able variability can induce biases in the results and imposes the use of large number of subjects. MRI can help to minimize these difficulties by ensuring that the severity of ischemia is comparable between groups. Furthermore, several studies showed that infarct volumes can be predicted with MRI data obtained soon after ischemia onset. However, such predictive studies require multiparametric MRI acquisitions that cannot be routinely performed, and data processing using complex algorithms that are often not available. The aim here was to provide a simplified method for infarct volume prediction using apparent diffusion coefficient (ADC) data in a model of transient MCAO in rats. ADC images were obtained before, during MCAO and after 60 min of reperfusion. Probability histograms were generated using ADC data obtained either during MCAO, after reperfusion, or both combined. The results were compared to real infarct volumes, i.e.T2 maps obtained at day 7. Assessment of the performance of the estimations showed better results combining ADC data obtained during occlusion and at reperfusion. Therefore, ADC data alone can provide sufficient information for a reasonable prediction of infarct volume if the MRI information is obtained both during the occlusion and soon after reperfusion. This approach can be used to check whether drug administration after MRI acquisition can change infarct volume prediction. © 2014 Elsevier B.V. All rights reserved.
Publisher version (URL)http://dx.doi.org/10.1016/j.brainres.2014.08.008
URIhttp://hdl.handle.net/10261/116759
DOI10.1016/j.brainres.2014.08.008
Identifiersdoi: 10.1016/j.brainres.2014.08.008
issn: 0006-8993
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