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J Magn Reson Imaging. 2018 Jan 21; doi: 10.1002/jmri.25947. Epub 2018 Jan 21.

Whole brain white matter histogram analysis of diffusion tensor imaging data detects microstructural damage in mild cognitive impairment and alzheimer's disease patients.

Journal of magnetic resonance imaging : JMRI

Giovanni Giulietti, Mario Torso, Laura Serra, Barbara Spanò, Camillo Marra, Carlo Caltagirone, Mara Cercignani, Marco Bozzali,

Affiliations

  1. Neuroimaging Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy.
  2. Institute of Neurology, Catholic University, Rome, Italy.
  3. Department of Systemic Medicine, University of Tor Vergata, Rome, Italy.
  4. Clinical and Behavioral Neurology Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy.
  5. Department of Neuroscience, Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, University of Sussex, Brighton, East Sussex, UK.

PMID: 29356183 DOI: 10.1002/jmri.25947

Abstract

BACKGROUND: Amnestic mild cognitive impairment (MCI) is a transitional stage between normal aging and Alzheimer's disease (AD). However, the clinical conversion from MCI to AD is unpredictable. Hence, identification of noninvasive biomarkers able to detect early changes induced by dementia is a pressing need.

PURPOSE: To explore the added value of histogram analysis applied to measures derived from diffusion tensor imaging (DTI) for detecting brain tissue differences between AD, MCI, and healthy subjects (HS).

STUDY TYPE: Prospective.

POPULATION/SUBJECTS: A local cohort (57 AD, 28 MCI, 23 HS), and an Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort (41 AD, 58 MCI, 41 HS).

FIELD STRENGTH: 3T. Dual-echo turbo spin echo (TSE); fluid-attenuated inversion recovery (FLAIR); modified-driven-equilibrium-Fourier-transform (MDEFT); inversion-recovery spoiled gradient recalled (IR-SPGR); diffusion tensor imaging (DTI).

ASSESSMENT: Normal-appearing white matter (NAWM) masks were obtained using the T

STATISTICAL TESTS: One-way analysis of variance (ANOVA), post-hoc Student's t-test, multiclass ROC analysis.

RESULTS: For the local cohort, C25 of AXD had the maximum capability of group discrimination with AUC of 0.80 for "HS vs. patients" comparison and 0.74 for "AD vs. others" comparison. For the ADNI cohort, MV of AXD revealed the maximum group discrimination capability with AUC of 0.75 for "HS vs. patients" comparison and 0.75 for "AD vs. others" comparison.

DATA CONCLUSION: AXD of NAWM might be an early marker of microstructural brain tissue changes occurring during the AD course and might be useful for assessing disease progression.

LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2017.

© 2018 International Society for Magnetic Resonance in Medicine.

Keywords: Alzheimer's disease; cognitive dysfunction; diffusion tensor imaging; magnetic resonance imaging; white matter

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