Quantitative SPM Analysis Involving an Adaptive Template May Be Easily Applied to [18F]FDG PET Images of the Rat Brain
| Autor: | Sylvain Poussier, Gilles Karcher, Antoine Verger, Emmanuel Raffo, Gaelle Vexiau, Pierre-Yves Marie, Henri Boutley, Fatiha Maskali |
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| Přispěvatelé: | Nancyclotep- Experimental Imaging Platform = Plate-forme d'imagerie moléculaire, Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Université de Lorraine (UL), Imagerie Adaptative Diagnostique et Interventionnelle (IADI), Université de Lorraine (UL)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de neurologie [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Service de Médecine Nucléaire [Nancy], Défaillance Cardiovasculaire Aiguë et Chronique (DCAC), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL) |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Cancer Research
medicine.diagnostic_test business.industry Hippocampus [SDV.IB.MN]Life Sciences [q-bio]/Bioengineering/Nuclear medicine Entorhinal cortex medicine.disease Statistical parametric mapping Rat brain Epileptogenesis 030218 nuclear medicine & medical imaging 03 medical and health sciences Epilepsy 0302 clinical medicine Oncology Positron emission tomography Spatial normalization medicine [INFO.INFO-IM]Computer Science [cs]/Medical Imaging Radiology Nuclear Medicine and imaging business Nuclear medicine 030217 neurology & neurosurgery ComputingMilieux_MISCELLANEOUS [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology |
| Zdroj: | Molecular Imaging and Biology Molecular Imaging and Biology, Springer Verlag, 2017, 19 (5), pp.731-735. ⟨10.1007/s11307-016-1043-9⟩ |
| ISSN: | 1536-1632 |
| Popis: | The Statistical Parametric Mapping (SPM) software is frequently used for the quantitative analysis of patients’ brain images obtained from 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography ([18F]FDG PET). However, its adaptation to small animals is difficult, particularly for the initial step of spatial normalization which requires a specific brain anatomical template. This study was aimed at determining whether SPM analysis can be applied to rat, and more specifically to the lithium-pilocarpine model of epilepsy, by using an adaptive template. This template developed for PET clinical imaging is constructed from a block matching algorithm. SPM analysis of brain [18F]FDG PET images from Sprague-Dawley rats was used with the block matching (BM) adaptive template for the detection of brain abnormalities (1) artificially inserted within the initially normal brain images of 10 rats (50 % decrease in signal intensity within 40 spheres of 0.5 to 1.0 mm in diameter) and (2) occurring at 4 h (n = 16), 48 h (n = 15), and 8 days (n = 13) after lithium-pilocarpine treatment. Concordant positive clusters were documented for all inserted abnormalities, whereas no aberrant clusters were documented in remote brain areas. Positive clusters were also detected on sites known to be involved in the epileptogenesis process of the lithium-pilocarpine model (piriform and entorhinal cortex, hippocampus), with the expected time-specific changes involving an early hypermetabolism followed by a severe hypometabolism and a subsequent partial recovery. A quantitative SPM analysis of brain [18F]FDG PET images may be applied to the monitoring of rat brain function when using an adaptive BM template. |
| Databáze: | OpenAIRE |
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