Metabolic voxel-based analysis of the complete human brain using fast 3D-MRSI: Proof of concept in multiple sclerosis
| Autor: | Fanelly Pariollaud, Jean Pelletier, Maxime Guye, Jean-Philippe Ranjeva, Soraya Gherib, Bertrand Audoin, Yann Le Fur, Wafaa Zaaraoui, Angèle Lecocq, Andrew A. Maudsley, Maxime Donadieu, Marie Pierre Ranjeva, Sylviane Confort-Gouny, Elisabeth Soulier |
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| Rok vydání: | 2016 |
| Předmět: |
Pathology
medicine.medical_specialty medicine.diagnostic_test business.industry Multiple sclerosis Magnetic resonance imaging Human brain computer.software_genre medicine.disease 030218 nuclear medicine & medical imaging Phosphocreatine White matter 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine medicine.anatomical_structure Atrophy chemistry Voxel Spatial normalization medicine Radiology Nuclear Medicine and imaging business computer 030217 neurology & neurosurgery |
| Zdroj: | Journal of Magnetic Resonance Imaging. 44:411-419 |
| ISSN: | 1053-1807 |
| DOI: | 10.1002/jmri.25139 |
| Popis: | Purpose To detect local metabolic abnormalities over the complete human brain in multiple sclerosis (MS) patients, we used optimized fast volumic echo planar spectroscopic imaging (3D-EPSI). Materials and Methods Weighted mean combination of two 3D-EPSI covering the whole brain acquired at 3T in AC-PC and AC-PC+15° axial planes was performed to obtain high-quality metabolite maps for five metabolites: N-acetyl aspartate (NAA), glutamate+glutamine (Glx), choline (Cho), myo-inositol (m-Ins), and creatine+phosphocreatine (tCr). After spatial normalization, maps from 19 patients suffering from relapsing-remitting MS were compared to 19 matched controls using statistical mapping analyses to determine the topography of metabolic abnormalities. Probabilistic white matter (WM) T2 lesion maps and gray matter (GM) atrophy maps were also generated. Results Two-group analysis of variance (ANOVA) (SPM8, P |
| Databáze: | OpenAIRE |
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