EJNMMI Research (Jan 2022)

Validation and test–retest repeatability performance of parametric methods for [11C]UCB-J PET

  • Hayel Tuncel,
  • Ronald Boellaard,
  • Emma M. Coomans,
  • Marijke den Hollander-Meeuwsen,
  • Erik F. J. de Vries,
  • Andor W. J. M. Glaudemans,
  • Paula Kopschina Feltes,
  • David Vállez García,
  • Sander C. J. Verfaillie,
  • Emma E. Wolters,
  • Steven P. Sweeney,
  • J. Michael Ryan,
  • Magnus Ivarsson,
  • Berkley A. Lynch,
  • Patrick Schober,
  • Philip Scheltens,
  • Robert C. Schuit,
  • Albert D. Windhorst,
  • Peter P. De Deyn,
  • Bart N. M. van Berckel,
  • Sandeep S. V. Golla

DOI
https://doi.org/10.1186/s13550-021-00874-8
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 12

Abstract

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Abstract [11C]UCB-J is a PET radioligand that binds to the presynaptic vesicle glycoprotein 2A. Therefore, [11C]UCB-J PET may serve as an in vivo marker of synaptic integrity. The main objective of this study was to evaluate the quantitative accuracy and the 28-day test–retest repeatability (TRT) of various parametric quantitative methods for dynamic [11C]UCB-J studies in Alzheimer’s disease (AD) patients and healthy controls (HC). Eight HCs and seven AD patients underwent two 60-min dynamic [11C]UCB-J PET scans with arterial sampling over a 28-day interval. Several plasma-input based and reference-region based parametric methods were used to generate parametric images using metabolite corrected plasma activity as input function or white matter semi-ovale as reference region. Different parametric outcomes were compared regionally with corresponding non-linear regression (NLR) estimates. Furthermore, the 28-day TRT was assessed for all parametric methods. Spectral analysis (SA) and Logan graphical analysis showed high correlations with NLR estimates. Receptor parametric mapping (RPM) and simplified reference tissue model 2 (SRTM2) BPND, and reference Logan (RLogan) distribution volume ratio (DVR) regional estimates correlated well with plasma-input derived DVR and SRTM BPND. Among the multilinear reference tissue model (MRTM) methods, MRTM1 had the best correspondence with DVR and SRTM BPND. Among the parametric methods evaluated, spectral analysis (SA) and SRTM2 were the best plasma-input and reference tissue methods, respectively, to obtain quantitatively accurate and repeatable parametric images for dynamic [11C]UCB-J PET.

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