Preliminary Assessment of Intravoxel Incoherent Motion Diffusion‐Weighted MRI (IVIM‐DWI) Metrics in Alzheimer's Disease

• Published in: Journal of magnetic resonance imaging Vol. 52; no. 6; pp. 1811 - 1826
• Main Authors: Bergamino, Maurizio, Nespodzany, Ashley, Baxter, Leslie C., Burke, Anna, Caselli, Richard J., Sabbagh, Marwan N., Walsh, Ryan R., Stokes, Ashley M.
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.12.2020; Wiley Subscription Services, Inc
• Subjects: Aging; Alzheimer Disease - diagnostic imaging; Alzheimer's disease; Amygdala; Benchmarking; Biomarkers; Brain mapping; Clusters; Cognitive ability; Correlation analysis; Covariance; Cross-Sectional Studies; Dementia disorders; Diffusion; Diffusion coefficient; Diffusion Magnetic Resonance Imaging; diffusion‐weighted MRI; Error correction; Field strength; Hippocampus; Humans; intravoxel incoherent motion; Magnetic resonance imaging; Medical imaging; mild cognitive impairment; Morphometry; Motion; neurodegeneration; Neurodegenerative Diseases; Neuroimaging; Perfusion; Populations; Prospective Studies; Statistical analysis; Statistical tests; Temporal lobe; voxel‐based morphometry; neurodegeneration; mild cognitive impairment; voxel-based morphometry; Alzheimer's disease; intravoxel incoherent motion; diffusion-weighted MRI
• ISSN: 1053-1807; 1522-2586; 1522-2586
• DOI: 10.1002/jmri.27272

Background Alzheimer's disease (AD) is a progressive neurodegenerative disease that affects aging populations. Current MRI techniques are often limited in their sensitivity to underlying neuropathological changes. Purpose To characterize differences in voxel‐based morphometry (VBM), apparent diffusion coefficient (ADC), and intravoxel incoherent motion diffusion‐weighted imaging (IVIM‐DWI) metrics in aging populations. Additionally, to investigate the connection between cognitive assessments and neuroimaging metrics. Study Type Prospective/cross‐sectional. Population In all, 49 subjects, including 13 with AD dementia, 12 with mild cognitive impairment (MCI), and 24 healthy controls (HC). Field Strength/Sequence 3T/magnetization‐prepared rapid acquisition gradient echo (MP‐RAGE) and IVIM‐DWI Assessment All participants completed a cognitive screening battery prior to MRI. IVIM‐DWI maps (pure diffusion coefficient [D], pseudodiffusion coefficient [D*], and perfusion fraction [f]) were generated from a biexponential fit of diffusion MRI data. VBM was performed on the standard T1‐weighted MP‐RAGE structural images. Group‐wise templates were used to compare across groups. Statistical Tests Analysis of covariance (ANCOVA) with gender and age as covariates (familywise error [FWE] corrected, post‐hoc comparisons using Bonferroni correction) for group comparisons. Partial‐η2 and Hedges' g were used for effect‐size analysis. Spearman's correlations (false discovery rate [FDR]‐corrected) for the relationship between cognitive scores and imaging. Results Clusters of significant group‐wise differences were found mainly in the temporal lobe, hippocampus, and amygdala using all VBM and IVIM methods (P < 0.05 FWE). While VBM showed significant changes between MCI and AD groups and between HC and AD groups, no significant clusters were observed between HC and MCI using VBM. ADC and IVIM‐D demonstrated significant changes, at P < 0.05 FWE, between HC and MCI, notably in the amygdala and hippocampus. Several voxel‐based correlations were observed between neuroimaging metrics and cognitive tests within the cognitively impaired groups (P < 0.05 FDR). Data Conclusion These findings suggest that IVIM‐DWI metrics may be earlier biomarkers for AD‐related changes than VBM. The use of these techniques may provide novel insight into subvoxel neurodegenerative processes. Level of Evidence 2 Technical Efficacy Stage 2 J. MAGN. RESON. IMAGING 2020;52:1811–1826.