Test-retest reliability and sample size estimates after MRI scanner relocation

Autor: Gareth J. Leeper, Mustafa M. Almuqbel, Tracy R. Melzer, Stephen Kingston-Smith, Sarah K. Green, R Keenan, Simon A. Felton, Kerry J. Henderson, Nickolas J. Palmer, Reza Shoorangiz, Daniel J. Myall
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Adult
Male
Scanner
Intraclass correlation
Cognitive Neuroscience
Coefficient of variation
Neuroimaging
050105 experimental psychology
Standard deviation
Cross-validation
Study power
Diffusion MRI
lcsh:RC321-571
White matter
03 medical and health sciences
0302 clinical medicine
MRI variability
medicine
Humans
0501 psychology and cognitive sciences
Gray Matter
lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry
Mathematics
Aged
Cerebral Cortex
business.industry
Sample size
05 social sciences
Reproducibility of Results
Middle Aged
Magnetic Resonance Imaging
White Matter
medicine.anatomical_structure
Diffusion Tensor Imaging
Test-retest reliability
Neurology
Sample size determination
Female
Perfusion MRI
Nuclear medicine
business
030217 neurology & neurosurgery
Magnetic Resonance Angiography
Zdroj: NeuroImage, Vol 211, Iss, Pp 116608-(2020)
ISSN: 1095-9572
Popis: Objective: Many factors can contribute to the reliability and robustness of MRI-derived metrics. In this study, we assessed the reliability and reproducibility of three MRI modalities after an MRI scanner was relocated to a new hospital facility. Methods: Twenty healthy volunteers (12 females, mean age (standard deviation) ​= ​41 (11) years, age range [25–66]) completed three MRI sessions. The first session (S1) was one week prior to the 3T GE HDxt scanner relocation. The second (S2) occurred nine weeks after S1 and at the new location; a third session (S3) was acquired 4 weeks after S2. At each session, we acquired structural T1-weighted, pseudo-continuous arterial spin labelled, and diffusion tensor imaging sequences. We used longitudinal processing streams to create 12 summary MRI metrics, including total gray matter (GM), cortical GM, subcortical GM, white matter (WM), and lateral ventricle volume; mean cortical thickness; total surface area; average gray matter perfusion, and average diffusion tensor metrics along principal white matter pathways. We compared mean MRI values and variance at the old scanner location to multiple sessions at the new location using Bayesian multi-level regression models. K-fold cross validation allowed identification of important predictors. Whole-brain analyses were used to investigate any regional differences. Furthermore, we calculated within-subject coefficient of variation (wsCV), intraclass correlation coefficient (ICC), and dice similarity index (SI) of cortical segmentations across scanner relocation and within-site. Additionally, we estimated sample sizes required to robustly detect a 4% difference between two groups across MRI metrics. Results: All global MRI metrics exhibited little mean difference and small variability (bar cortical gray matter perfusion) both across scanner relocation and within-site repeat. T1- and DTI-derived tissue metrics showed ​ ​0.80 and within-subject coefficient of variation (wsCV) ​
Databáze: OpenAIRE
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