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A Validation Study of Multicenter Diffusion Tensor Imaging: Reliability of Fractional Anisotropy and Diffusivity Values
Open accessAbstract
BACKGROUND AND PURPOSE: DTI is increasingly being used as a measure to study tissue damage in several neurologic diseases. Our aim was to investigate the comparability of DTI measures between different MR imaging magnets and platforms. MATERIALS AND METHODS: Two healthy volunteers underwent DTI on five 3T MR imaging scanners (3 Trios and 2 Signas) by using a matched 33 noncollinear diffusion-direction pulse sequence. Within each subject, a total of 16 white matter (corpus callosum, periventricular, and deep white matter) and gray matter (cortical and deep gray) ROIs were drawn on a single image set and then were coregistered to the other images. Mean FA, ADC, and longitudinal and transverse diffusivities were calculated within each ROI. Concordance correlations were derived by comparing ROI DTI values among each of the 5 magnets. RESULTS: Mean concordance for FA was 0.96; for both longitudinal and transverse diffusivities, it was 0.93; and for ADC, it was 0.88. Mean scan-rescan concordance was 0.96-0.97 for all DTI measures. Concordance correlations within platforms were, in general, better than those between platforms for all DTI measures (mean concordance of 0.96). CONCLUSIONS: We found that a 3T magnet and high-angular-resolution pulse sequence yielded comparable DTI measurements across different MR imaging magnets and platforms. Our results indicate that FA is the most comparable measure across magnets, followed by individual diffusivities. The comparability of DTI measures between different magnets supports the feasibility of multicentered clinical trials by using DTI as an outcome measure.
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“Although two different scanners were used (Siemens model Trio; scanner 1 = 285 subjects, 95.6 %; and scanner 2 = 13 subjects, 4.4 %), previous studies with this dataset have pointed out that this variability is negligible (Dickerson et al., 2008; Fox et al., 2012; Melzer et al., 2020; Noble et al., 2017a; Noble et al., 2017b; Zhou et al., 2018).”
From Multiclass characterization of frontotemporal dementia variants via multimodal brain network computational inference (2023) · cites this paper as Fox et al., 2012
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Metadata
- Authors
- Fox, R. J., Sakaie, K., Lee, J.-C., Debbins, J. P., Liu, Y., Arnold, D. L., Melhem, E. R., Smith, C. H., Philips, M. D., Lowe, M., & Fisher, E.
- Affiliations
- Montreal Neurological Institute and Hospital (CA)
- Corresponding author
- Fox, R.J.
- Venue
- American Journal of Neuroradiology
- Published
- 2011-12-15
- Volume
- 33
- Issue
- 4
- Pages
- 695-700
- ISSN
- 0195-6108 (ISSN-L)
- 1936-959X
- PMC
- PMC8050446
- OpenAlex
- W2321691898
- Cited by
- 137
- References
- 27
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 7 · 2023: 13 · 2022: 12 · 2021: 5 · 2020: 8 · 2019: 14 · 2018: 10 · 2017: 13 · 2016: 17 · 2015: 10 · 2014: 10 · 2013: 8 · 2012: 2
- FWCI
- 4.88
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by
- Locations
- American Journal of Neuroradiology (publishedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Multiple Sclerosis Society
- Biogen
- Teva Pharmaceutical Industries
- National Institutes of Health
- Genentech
- National Institute of Neurological Disorders and Stroke (K23 NS 47211, K23NS047211)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- diffusion tensor imaging, fractional anisotropy, apparent diffusion coefficient, inter-scanner reproducibility, white matter, gray matter, high angular resolution diffusion MRI, 3T MRI
- MeSH terms
- Adult, Brain, Equipment Design, Humans, Image Enhancement, Male, Ohio, Sensitivity and Specificity, Reproducibility of Results, Anisotropy, Equipment Failure Analysis, Diffusion Magnetic Resonance Imaging
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