Factors affecting the harmonization of disease‐related metabolic brain pattern expression quantification in [18F]FDG‐PET (PETMETPAT)

Rosalie V. Kogan1, Bas A. de Jong1, Remco J. Renken2, Sanne K. Meles3, Paul J.H. van Snick1, Sandeep Golla4, Sjoerd Rijnsdorp5, Daniela Perani6, Klaus L. Leenders1, Ronald Boellaard1
1Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
2Neuroimaging Center, Department of Neuroscience, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
3Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
4Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands
5Department of Medical Physics, Catharina Hospital, Eindhoven, The Netherlands
6San Raffaele University and Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy

Tóm tắt

AbstractIntroductionThe implementation of spatial‐covariance [18F]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.MethodsFive 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.ResultsHuman 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.DiscussionImage 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.

Tài liệu tham khảo

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