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[ 11 C]arachidonic acid incorporation measurement in human brain: Optimization for clinical use
Author(s) -
Zanderigo Francesca,
Kang Yeona,
Kumar Dileep,
Nikolopoulou Anastasia,
Mozley P. David,
Kothari Paresh J.,
He Bin,
Schlyer David,
Rapoport Stanley I.,
Oquendo Maria A.,
Vallabhajosula Shankar,
Mann J. John,
Sublette M. Elizabeth
Publication year - 2018
Publication title -
synapse
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.809
H-Index - 106
eISSN - 1098-2396
pISSN - 0887-4476
DOI - 10.1002/syn.22018
Subject(s) - repeatability , nuclear medicine , metabolite , arachidonic acid , positron emission tomography , population , whole blood , medicine , biology , chemistry , biochemistry , chromatography , environmental health , enzyme
Arachidonic acid (AA) is involved in signal transduction, neuroinflammation, and production of eicosanoid metabolites. The AA brain incorporation coefficient (K*) is quantifiable in vivo using [ 11 C]AA positron emission tomography, although repeatability remains undetermined. We evaluated K* estimates obtained with population‐based metabolite correction (PBMC) and image‐derived input function (IDIF) in comparison to arterial blood‐based estimates, and compared repeatability. Eleven healthy volunteers underwent a [ 11 C]AA scan; five repeated the scan 6 weeks later, simulating a pre‐ and post‐treatment study design. For all scans, arterial blood was sampled to measure [ 11 C]AA plasma radioactivity. Plasma [ 11 C]AA parent fraction was measured in 5 scans. K* was quantified using both blood data and IDIF, corrected for [ 11 C]AA parent fraction using both PBMC (from published values) and individually measured values (when available). K* repeatability was calculated in the test‐retest subset. K* estimates based on blood and individual metabolites were highly correlated with estimates using PBMC with arterial input function ( r = 0.943) or IDIF ( r = 0.918) in the subset with measured metabolites. In the total dataset, using PBMC, IDIF‐based estimates were moderately correlated with arterial input function‐based estimates ( r = 0.712). PBMC and IDIF‐based K* estimates were ∼6.4% to ∼11.9% higher, on average, than blood‐based estimates. Average K* test‐retest absolute percent difference values obtained using blood data or IDIF, assuming PBMC for both, were between 6.7% and 13.9%, comparable to other radiotracers. Our results support the possibility of simplified [ 11 C]AA data acquisition through eliminating arterial blood sampling and metabolite analysis, while retaining comparable repeatability and validity.