Automated reference region extraction and population-based input function for brain [C-11]TMSX PET image analyses

作者：Rissanen Eero^*; Tuisku Jouni; Luoto Pauliina; Arponen Eveliina; Johansson Jarkko; Oikonen Vesa; Parkkola Riitta; Airas Laura; Rinne Juha O

来源：Journal of Cerebral Blood Flow and Metabolism, 2015, 35(1): 157-165.

DOI：10.1038/jcbfm.2014.194

• A(2A)R
• input function
• PET
• supervised clustering
• [C-11]TMSX

[C-11]TMSX ([7-N-methyl-C-11]-(E)-8-(3,4,5-trimethoxystyryl)-1,3,7-trimethylxanthine) is a selective adenosine A2A receptor (A(2A)R) radioligand. In the central nervous system (CNS), A(2A)R are linked to dopamine D-2 receptor function in striatum, but they are also important modulators of inflammation. The golden standard for kinetic modeling of brain [C-11]TMSX positron emission tomography (PET) is to obtain arterial input function via arterial blood sampling. However, this method is laborious, prone to errors and unpleasant for study subjects. The aim of this work was to evaluate alternative input function acquisition methods for brain [C-11]TMSX PET imaging. First, a noninvasive, automated method for the extraction of gray matter reference region using supervised clustering (SCgm) was developed. Second, a method for obtaining a population-based arterial input PBIF) was implemented. These methods were created using data from 28 study subjects (7 healthy controls, 12 multiple sclerosis patients, and 9 patients with Parkinson's disease). The results with PBIF correlated well with original plasma input, and the SCgm yielded similar results compared with cerebellum as a reference region. The clustering method for extracting reference region and the population-based approach for acquiring input for dynamic [C-11]TMSX brain PET image analyses appear to be feasible and robust methods, that can be applied in patients with CNS pathology.

• 出版日期2015-1