Automatic Extraction of a Reference Region for the Noninvasive Quantification of Translocator Protein in Brain Using ¹¹C-PBR28.

ABSTRACT: Brain inflammation is associated with various types of neurodegenerative diseases, including Alzheimer disease (AD). Quantifying inflammation with PET is a challenging and invasive procedure, especially in frail patients, because it requires blood sampling from an arterial catheter. A widely used alternative to arterial sampling is a supervised clustering algorithm (SVCA), which identifies the voxels with minimal specific binding in the PET images, thus extracting a reference region for noninvasive kinetic modeling. Methods: We tested this algorithm on a large population of subjects injected with the translocator protein radioligand ¹¹C-PBR28 and compared the kinetic modeling results obtained with the gold standard of arterial input function (V _T/f

SUBMITTER: Zanotti-Fregonara P 

PROVIDER: S-EPMC6604696 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature