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Neuroimage Clin. 2019 Jul 18;24:101943. doi: 10.1016/j.nicl.2019.101943. [Epub ahead of print]

The Canadian Dementia Imaging Protocol: Harmonization validity for morphometry measurements.

Author information

1
CERVO Research Center, Institut universitaire en santé mentale de Québec, Québec, Canada.
2
Robarts Research Institute, Medical Biophysics, Western University, London, Canada.
3
Département de psychologie, Université de Montréal, Montréal, Québec, Canada.
4
McConnell Brain imaging Center, Montreal Neurological Institute, McGill University, Montréal, Canada.
5
Université de Sherbrooke, Sherbrooke, Québec, Canada.
6
LC Campbell Cognitive Neurology Research, Sunnybrook Research Institute, University of Toronto, Toronto, Canada.
7
Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, Canada.
8
Rotman Research Institute, Baycrest Medical Biophysics, University of Toronto, Toronto, Canada.
9
CERVO Research Center, Institut universitaire en santé mentale de Québec, Québec, Canada; Département de radiologie et de médecine nucléaire, Université Laval, Québec, Canada. Electronic address: simon.duchesne@fmed.ulaval.ca.

Abstract

The harmonized Canadian Dementia Imaging Protocol (CDIP) has been developed to suit the needs of a number of co-occurring Canadian studies collecting data on brain changes across adulthood and neurodegeneration. In this study, we verify the impact of CDIP parameters compliance on total brain volume variance using 86 scans of the same individual acquired on various scanners. Data included planned data collection acquired within the Consortium pour l'identification précoce de la maladie Alzheimer - Québec (CIMA-Q) and Canadian Consortium on Neurodegeneration in Aging (CCNA) studies, as well as opportunistic data collection from various protocols. For images acquired from Philips scanners, lower variance in brain volumes were observed when the stated CDIP resolution was set. For images acquired from GE scanners, lower variance in brain volumes were noticed when TE/TR values were within 5% of the CDIP protocol, compared to values farther from that criteria. Together, these results suggest that a harmonized protocol like the CDIP may help to reduce neuromorphometric measurement variability in multi-centric studies.

KEYWORDS:

Magnetic resonance imaging; Morphometry; Multi-centric studies; Neuroimaging; Standardization

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