| Autor: |
Van Camp, Nadja, Balbastre, Yaël, Herard, Anne-Sophie, Lavisse, Sonia, Tauber, Clovis, Wimberley, Catriona, Guillermier, Martine, Berniard, Aurélie, Gipchtein, Pauline, Jan, Caroline, Badin, Romina Aron, Delzescaux, Thierry, Hantraye, Philippe, Bonvento, Gilles |
| Zdroj: |
Journal of Cerebral Blood Flow & Metabolism; May2020, Vol. 40 Issue 5, p1103-1116, 14p |
| Abstrakt: |
The 18 kDa translocator protein (TSPO) is the main molecular target to image neuroinflammation by positron emission tomography (PET). However, TSPO-PET quantification is complex and none of the kinetic modelling approaches has been validated using a voxel-by-voxel comparison of TSPO-PET data with the actual TSPO levels of expression. Here, we present a single case study of binary classification of in vivo PET data to evaluate the statistical performance of different TSPO-PET quantification methods. To that end, we induced a localized and adjustable increase of TSPO levels in a non-human primate brain through a viral-vector strategy. We then performed a voxel-wise comparison of the different TSPO-PET quantification approaches providing parametric [18F]-DPA-714 PET images, with co-registered in vitro three-dimensional TSPO immunohistochemistry (3D-IHC) data. A data matrix was extracted from each brain hemisphere, containing the TSPO-IHC and TSPO-PET data for each voxel position. Each voxel was then classified as false or true, positive or negative after comparison of the TSPO-PET measure to the reference 3D-IHC method. Finally, receiver operating characteristic curves (ROC) were calculated for each TSPO-PET quantification method. Our results show that standard uptake value ratios using cerebellum as a reference region (SUVCBL) has the most optimal ROC score amongst all non-invasive approaches. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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