Automatic MRI Quantifying Methods in Behavioral-Variant Frontotemporal Dementia Diagnosis.

ABSTRACT:

Aims

We assessed the value of automated MRI quantification methods in the differential diagnosis of behavioral-variant frontotemporal dementia (bvFTD) from Alzheimer disease (AD), Lewy body dementia (LBD), and subjective memory complaints (SMC). We also examined the role of the C9ORF72-related genetic status in the differentiation sensitivity.

Methods

The MRI scans of 50 patients with bvFTD (17 C9ORF72 expansion carriers) were analyzed using 6 quantification methods as follows: voxel-based morphometry (VBM), tensor-based morphometry, volumetry (VOL), manifold learning, grading, and white-matter hyperintensities. Each patient was then individually compared to an independent reference group in order to attain diagnostic suggestions.

Results

Only VBM and VO

SUBMITTER: Cajanus A 

PROVIDER: S-EPMC5869565 | biostudies-literature | 2018 Jan-Apr

REPOSITORIES: biostudies-literature