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. 2011 Apr 29;33(5):1225–1245. doi: 10.1002/hbm.21279

Table I.

Neuroimaging studies on the reliability of multicenter VBM

Design Subjects Sequence/imaging analysis tools Outcome Findings
Phantom studies (Ewers et al., 2006) –eleven 1.5T scanners (n = 1) –T1‐weighted scans/MPRAGE multicenter variability –nine of eleven centers met the reliability criteria of the phantom test, whereas two centers showed aberrations in spatial resolution, slice thickness and slice position
Healthy volunteers studies (Tardif et al., 2009) –two time‐points; –two different scanners (1.5 and 3T) HV (n = 8) –MPRAGE; ‐MNI image processing tools; ‐SPM5 (1) image quality (SNR/image uniformity); (2) GM density; (3) power analysis for longitudinal and cross‐sectional VBM study (1) SNR and Image non‐uniformity increased significantly at 3 T; (2) regional biases between protocols in the VBM results, in particular at 3 T; (3) smaller number of subjects required in a longitudinal study to detect a difference in GM density at 3 T for MP‐RAGE
(Moorhead et al., 2009) –three 1.5T scanners; –two time‐points HV (n = 14) –T1‐weighted MRI scans; ‐SPM5 (separate sets of tissue priors for each scanner) (1) intra‐ and inter‐scanner variability (1) inter‐scanner variability not reduced to the level of intra‐scanner variability (scanner specific priors for SPM assist in pooling of data from different sites)
(Huppertz et al., 2010) –six different sites; –different vendors; –different field strengths (1.5 and 3T); –three time‐points HV (n = 1) –MPRAGE; ‐SPM5 (predefined masks derived from a probabilistic whole‐brain atlas) (1) intra‐scanner variability; (2) inter‐scanner variability; (3) MPVD (1) CV per brain structure: median 0.89%; (2) CV: median 4.74% (combined variability: median, 4.80%); (3) MPVD: (for CV results 0.50, 3.78, and 3.80%): 1.4% for the same scanner, 10.5% for different scanners
Patient studies (different states of function and dysfunction) (Stonnington et al., 2008) –one site; −10 years; −6 scanners (1.5 T; same platform); ‐multiple upgrades over time – AD (n = 62); –cognitively normal elderly controls (n = 74) –T1‐weighted MRI scans; ‐whole‐brain voxel‐wise analysis; –SPM5 (1) effect of disease; (2) effect of scanner; (3) interaction of scanner and disease (1) reduction of GM in medial temporal lobe; (2) less than group differences and only significant in thalamus; (3) no significant interaction of scanner with disease group; → results not confounded by scanner
(Pardoe et al., 2008) –three different sites; –3T and 1.5T scanners –CAE; ‐ HV; n (CAE/controls) = site A) 10/213 site B) 15/33 site C) 19/11 – T1‐weighted MRI scans; ‐optimized VBM (1) comparisons of CAE subjects and controls stratified by site; (2) inter‐site comparison of controls from each site; (3) factorial analysis of all data with site and disease status as factors (1) consistent regions of structural change in the thalamic nuclei; (2) site‐specific differences between controls, which requires adjustment for site in the combined analyses; (3) thalamic atrophy in CAE cases; → combined VBM: consistent patterns of structural change in CAE when site factor in statistical analysis
(Ewers et al., 2006)a –ten of eleven 1.5T scanners; –six different 1.5T scanners –HV (n = 1); –AD (n = 73); –MCI (n = 76) –T1‐weighted MRI scans or MPRAGE; –manual hippocampal volumetry; ‐automatic segmentation of brain compartments; –SPM2/VBM (1) multisite variability; (2) Power analysis for detection of a difference in GMV between AD and MCI patients across centers (1) CV: 3.55% (hippocampus); 5.02% (grey matter) 4.87% (white matter); 4.66% (cerebrospinal fluid); 12.81% (± 9.06) voxel intensities GM; 8.19% (± 6.9) WM; (2) (d = 0.42): N = 180; → good reliability across centers
(Schnack et al., 2010) –four 1.5T scanners, one 1.0T scanner (four vendors); –different acquisition protocols – HV (n = 6) −3D‐FFE, SPGR, 3D‐FLASH, MPRAGE; –MNI image processing tools, both for VBM and CORT; ‐development of methods to detect reproducibility of VBM/CORT to detect group differences (1) group effect; (2) heritability (1) reliability maps showed an overall good comparability between the sites; (2) scan pooling improved heritability estimates

AD, Alzheimer's disease; CAE, childhood absence epilepsy; CORT, cortical thickness measurement; CV, coefficient of variation; GM, gray matter; GMV, gray matter volume; HV, healthy volunteer; MCI, mild cognitive impairment; MPRAGE, magnetization‐prepared rapid gradient echo; MPVD, minimum percentage volume difference for detecting a significant volume change between two volume measurements in the same subject calculated for each substructure; MNI, Montreal Neurological Institute; MRI, magnetic resonance imaging; VBM voxel‐based morphometry; SNR, signal:noise ratio, SPM, statistical parametric mapping; 3D‐FFE, three‐dimensional T1‐weighted coronal spoiled gradient echo scan WM white matter.

a

Same publication reports the phantom study above.