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Abstract #4622

Correlating clinical outcome with voxel-based quantitative multiparametric MRI analysis in chronic ischemic stroke

Rui He1,2, Olivier Detante2,3, Alexandre Krainik2,3, Assia Jaillard2,3, Emmanuel Luc Barbier1,2, and Benjamin Lemasson1,2

1U836, Inserm, Grenoble, France, 2Université Grenoble Alpes, Grenoble Institut des Neurosciences, Grenoble, France, 3Grenoble University Hospital, Grenoble, France

Predicting clinical outcome following stroke remains a challenge for magnetic resonance imaging (MRI). In this study, we acquired longitudinally (3 sessions) multiparametric MRI data sets including diffusion-weighted and perfusion-weighted images of 30 patients with chronic ischemic stroke. All of the diffusion and perfusion MRI parameters were analyzed by the classic whole-lesion approach and the parametric response map (PRM), a voxel-based post-processing approach at each time point. The results emphasized the superiority of the PRM over the whole-lesion approach for the prediction of long-term outcome based on early MRI data.

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