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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 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.

SUBMITTER: Garcia-Lorenzo D 

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

REPOSITORIES: biostudies-literature

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

García-Lorenzo Daniel D   Lavisse Sonia S   Leroy Claire C   Wimberley Catriona C   Bodini Benedetta B   Remy Philippe P   Veronese Mattia M   Turkheimer Federico F   Stankoff Bruno B   Bottlaender Michel M  

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism 20170209 2


There is a great need for a non-invasive methodology enabling the quantification of translocator protein overexpression in PET clinical imaging. [<sup>18</sup>F]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. Her  ...[more]

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