Validation of an automatic reference region extraction for the quantification of [¹⁸F]DPA-714 in dynamic brain PET studies.

ABSTRACT: There is a great need for a non-invasive methodology enabling the quantification of translocator protein overexpression in PET clinical imaging. [¹⁸F]DPA-714 has emerged as a promising translocator protein radiotracer as it is fluorinated, highly specific and returned reliable quantification using arterial input function. Cerebellum gray matter was proposed as reference region for simplified quantification; however, this method cannot be used when inflammation involves cerebellum. Here we adapted and validated a supervised clustering (supervised clustering algorithm (SCA)) for [¹⁸F]DPA-714 analysis. Fourteen healthy subjects genotyped for translocator protein underwent an [¹⁸F]DPA-714 PET, including 10 with metabolite-corrected arterial input function and t

SUBMITTER: Garcia-Lorenzo D 

PROVIDER: S-EPMC5951011 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature