Factors affecting the harmonization of disease‐related metabolic brain pattern expression quantification in [18F]FDG‐PET (PETMETPAT). Issue 1 (22nd June 2019)

• Record Type: Journal Article
• Authors: Kogan, Rosalie V.; de Jong, Bas A.; Renken, Remco J.; Meles, Sanne K.; van Snick, Paul J.H.; Golla, Sandeep; Rijnsdorp, Sjoerd; Perani, Daniela; Leenders, Klaus L.; Boellaard, Ronald
• Other Names: Jovicich Jorge guestEditor.; Frisoni Giovanni B. guestEditor.
• Is Part Of: Alzheimer's & dementia. Volume 11:Issue 1(2019)
• Page Start: 472
• Page End: 482
• Publication Date: 2019-06-22
• Subjects: Neuroimaging biomarker -- FDG‐PET -- Harmonization -- Hoffman 3D brain phantom -- Principal component analysis; Alzheimer's disease -- Periodicals; Alzheimer's disease -- Diagnosis -- Periodicals; Dementia -- Periodicals; Dementia -- Diagnosis -- Periodicals; 616.831
• DOI: 10.1016/j.dadm.2019.04.002
• Languages: English
• ISSNs: 2352-8729

Abstract

Abstract: Introduction: The implementation of spatial‐covariance [ 18 F]fluorodeoxyglucose positron emission tomography–based disease‐related metabolic brain patterns as biomarkers has been hampered by intercenter imaging differences. Within the scope of the JPND‐PETMETPAT working group, we illustrate the impact of these differences on Parkinson's disease–related pattern (PDRP) expression scores. Methods: Five healthy controls, 5 patients with idiopathic rapid eye movement sleep behavior disorder, 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 3D Brain Phantom was scanned on several positron emission tomography/computed tomography systems 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 and reconstruction effects. PDRP scores correlated inversely to image contrast. A Gaussian spatial filter reduced contrast while decreasing intercenter score differences. Discussion: Image contrast should be considered in harmonization efforts. A Gaussian filter may reduce noise and intercenter effects without sacrificing sensitivity. Phantom measurements will be important for correcting PDRP score offsets.