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

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

doi:https://doi.org/10.1016/j.dadm.2019.04.002

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

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

Research output: Contribution to journal › Article › Academic › peer-review

17 Citations (Scopus)

Abstract

Introduction: The 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. 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.

Original language	English
Pages (from-to)	472-482
Number of pages	11
Journal	Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring
Volume	11
DOIs	https://doi.org/10.1016/j.dadm.2019.04.002 https://doi.org/10.1016/j.dadm.2019.04.002
Publication status	Published - 1 Dec 2019

Keywords

FDG-PET
Harmonization
Hoffman 3D brain phantom
Neuroimaging biomarker
Principal component analysis

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Kogan, R. V., de Jong, B. A., Renken, R. J., Meles, S. K., van Snick, P. J. H., Golla, S., Rijnsdorp, S., Perani, D., Leenders, K. L., & Boellaard, R. (2019). Factors affecting the harmonization of disease-related metabolic brain pattern expression quantification in [18F]FDG-PET (PETMETPAT). Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, 11, 472-482. https://doi.org/10.1016/j.dadm.2019.04.002, https://doi.org/10.1016/j.dadm.2019.04.002

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title = "Factors affecting the harmonization of disease-related metabolic brain pattern expression quantification in [18F]FDG-PET (PETMETPAT)",

abstract = "Introduction: The 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. 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.",

keywords = "FDG-PET, Harmonization, Hoffman 3D brain phantom, Neuroimaging biomarker, Principal component analysis",

author = "Kogan, {Rosalie V.} and {de Jong}, {Bas A.} and Renken, {Remco J.} and Meles, {Sanne K.} and {van Snick}, {Paul J. H.} and Sandeep Golla and Sjoerd Rijnsdorp and Daniela Perani and Leenders, {Klaus L.} and Ronald Boellaard",

year = "2019",

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doi = "https://doi.org/10.1016/j.dadm.2019.04.002",

language = "English",

volume = "11",

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Kogan, RV, de Jong, BA, Renken, RJ, Meles, SK, van Snick, PJH, Golla, S, Rijnsdorp, S, Perani, D, Leenders, KL & Boellaard, R 2019, 'Factors affecting the harmonization of disease-related metabolic brain pattern expression quantification in [18F]FDG-PET (PETMETPAT)', Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, vol. 11, pp. 472-482. https://doi.org/10.1016/j.dadm.2019.04.002, https://doi.org/10.1016/j.dadm.2019.04.002

Factors affecting the harmonization of disease-related metabolic brain pattern expression quantification in [18F]FDG-PET (PETMETPAT). / Kogan, Rosalie V.; de Jong, Bas A.; Renken, Remco J. et al.
In: Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, Vol. 11, 01.12.2019, p. 472-482.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - Factors affecting the harmonization of disease-related metabolic brain pattern expression quantification in [18F]FDG-PET (PETMETPAT)

AU - Kogan, Rosalie V.

AU - de Jong, Bas A.

AU - Renken, Remco J.

AU - Meles, Sanne K.

AU - van Snick, Paul J. H.

AU - Golla, Sandeep

AU - Rijnsdorp, Sjoerd

AU - Perani, Daniela

AU - Leenders, Klaus L.

AU - Boellaard, Ronald

PY - 2019/12/1

Y1 - 2019/12/1

N2 - Introduction: The 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. 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.

AB - Introduction: The 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. 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.

KW - FDG-PET

KW - Harmonization

KW - Hoffman 3D brain phantom

KW - Neuroimaging biomarker

KW - Principal component analysis

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U2 - https://doi.org/10.1016/j.dadm.2019.04.002

DO - https://doi.org/10.1016/j.dadm.2019.04.002

M3 - Article

C2 - 31294076

SN - 2352-8729

VL - 11

SP - 472

EP - 482

JO - Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring

JF - Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring

ER -

Kogan RV, de Jong BA, Renken RJ, Meles SK, van Snick PJH, Golla S et al. Factors affecting the harmonization of disease-related metabolic brain pattern expression quantification in [18F]FDG-PET (PETMETPAT). Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 2019 Dec 1;11:472-482. doi: https://doi.org/10.1016/j.dadm.2019.04.002, https://doi.org/10.1016/j.dadm.2019.04.002

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

Abstract

Keywords

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