4.5 Article

Deformation based morphometry study of longitudinal MRI changes in behavioral variant frontotemporal dementia

Journal

NEUROIMAGE-CLINICAL
Volume 24, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.nicl.2019.102079

Keywords

Frontotemporal dementia; Magnetic resonance imaging; Morphometric analysis; Diagnostic biomarker; Deformation based morphometry

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Funding

  1. Famille Louise Andre Charron
  2. Frontotemporal Lobar Degeneration Neuroimaging Initiative (National Institutes of Health) [R01 AG032306]

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Objective: To objectively quantify how cerebral volume loss could assist with clinical diagnosis and clinical trial design in the behavioural variant of frontotemporal dementia (bvFTD). Methods: We applied deformation-based morphometric analyses with robust registration to precisely quantify the magnitude and pattern of atrophy in patients with bvFTD as compared to cognitively normal controls (CNCs), to assess the progression of atrophy over one year follow up and to generate clinical trial sample size estimates to detect differences for the structures most sensitive to change. This study included 203 subjects - 70 bvFTD and 133 CNCs - with a total of 482 timepoints from the Frontotemporal Lobar Degeneration Neuroimaging Initiative. Results: Deformation based morphometry (DBM) revealed significant atrophy in the frontal lobes, insula, medial and anterior temporal regions bilaterally in bvFTD subjects compared to controls with outstanding subcortical involvement. We provide detailed information on regional changes per year. In both cross-sectional analysis and over a one-year follow-up period, ventricle expansion was the most prominent differentiator of bvFTD from controls and a sensitive marker of disease progression. Conclusions: Automated measurement of ventricular expansion is a sensitive and reliable marker of disease progression in bvFTD to be used in clinical trials for potential disease modifying drugs, as well as possibly to implement in clinical practice. Ventricular expansion measured with DBM provides the lowest published estimated sample size for clinical trial design to detect significant differences over one and two years.

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