Skip to Main content Skip to Navigation
Journal articles

Validation of an automatic reference region extraction for the quantification of [ 18 F]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 three for a test-retest assessment. Two-tissue compartmental modelling provided [Formula: see text] estimates that were compared to either [Formula: see text] or [Formula: see text] generated by Logan analysis (using supervised clustering algorithm extracted reference region or cerebellum gray matter). The supervised clustering algorithm successfully extracted a pseudo-reference region with similar reliability using classes that were defined using either all subjects, or separated into HAB and MAB subjects. [Formula: see text], [Formula: see text] and [Formula: see text] were highly correlated (ICC of 0.91 ± 0.05) but [Formula: see text] were ∼26% higher and less variable than [Formula: see text]. Reproducibility was good with 5% variability in the test-retest study. The clustering technique for [18F]DPA-714 provides a simple, robust and reproducible technique that can be used for all neurological diseases.
Complete list of metadata

Cited literature [47 references]  Display  Hide  Download
Contributor : Hal Sorbonne Université Gestionnaire <>
Submitted on : Wednesday, October 30, 2019 - 4:03:11 PM
Last modification on : Thursday, September 2, 2021 - 9:08:50 AM


García-Lorenzo et al. - 2018 ...
Files produced by the author(s)



Daniel Garcia-Lorenzo, Sonia Lavisse, Claire Leroy, Catriona Wimberley, Benedetta Bodini, et al.. Validation of an automatic reference region extraction for the quantification of [ 18 F]DPA-714 in dynamic brain PET studies. Journal of Cerebral Blood Flow and Metabolism, Nature Publishing Group, 2017, 38 (2), pp.333-346. ⟨10.1177/0271678X17692599⟩. ⟨hal-02340034⟩



Record views


Files downloads