Factors affecting the harmonization of disease-related metabolic brain pattern expression quantification in [18F]FDG-PET (PETMETPAT): Working Group Summaries for European Joint Programming For Neurodegenerative Research (JPND)

Rosalie Vered Kogan, Bas Adriaan Jong, de, Remco J. Renken, Sanne K. Meles, Paul J. H. van Snick, Sandeep Golla, Sjoerd Rijnsdorp, Daniela Perani, Klaus L. Leenders, Ronald Boellaard

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Introduction:The implementation of spatial-covariance [18F]fluorodeoxyglucose positron emissiontomography–based disease-related metabolic brain patterns as biomarkers has been hampered by in-tercenter imaging differences. Within the scope of the JPND-PETMETPAT working group, we illus-trate the impact of these differences on Parkinson’s disease–related pattern (PDRP) expressionscores.Methods:Five healthy controls, 5 patients with idiopathic rapid eye movement sleep behavior dis-order, and 5 patients with Parkinson’s disease were scanned on one positron emission tomography/computed tomography system with multiple image reconstructions. In addition, one Hoffman 3DBrain Phantom was scanned on several positron emission tomography/computed tomography sys-tems using various reconstructions. Effects of image contrast on PDRP scores were also examined.Results:Human and phantom raw PDRP scores were systematically influenced by scanner andreconstruction effects. PDRP scores correlated inversely to image contrast. A Gaussian spatial filterreduced contrast while decreasing intercenter score differences.Discussion:Image contrast should be considered in harmonization efforts. A Gaussian filter mayreduce noise and intercenter effects without sacrificing sensitivity. Phantom measurements will beimportant for correcting PDRP score offsets.
Original languageEnglish
Pages (from-to)472-482
Number of pages11
JournalAlzheimer's & dementia (Amsterdam, Netherlands)
Publication statusPublished - 2019


  • Neuroimaging biomarker
  • Harmonization
  • Hoffman 3D brain phantom
  • Principal Component Analysis

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