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Reproducibility of hippocampal atrophy rates measured with manual, FreeSurfer, AdaBoost, FSL/FIRST and the MAPS-HBSI methods in Alzheimer's disease.

Authors :
Cover KS
van Schijndel RA
Versteeg A
Leung KK
Mulder ER
Jong RA
Visser PJ
Redolfi A
Revillard J
Grenier B
Manset D
Damangir S
Bosco P
Vrenken H
van Dijk BW
Frisoni GB
Barkhof F
Source :
Psychiatry research. Neuroimaging [Psychiatry Res Neuroimaging] 2016 Jun 30; Vol. 252, pp. 26-35. Date of Electronic Publication: 2016 May 11.
Publication Year :
2016

Abstract

The purpose of this study is to assess the reproducibility of hippocampal atrophy rate measurements of commonly used fully-automated algorithms in Alzheimer disease (AD). The reproducibility of hippocampal atrophy rate for FSL/FIRST, AdaBoost, FreeSurfer, MAPS independently and MAPS combined with the boundary shift integral (MAPS-HBSI) were calculated. Back-to-back (BTB) 3D T1-weighted MPRAGE MRI from the Alzheimer's Disease Neuroimaging Initiative (ADNI1) study at baseline and year one were used. Analysis on 3 groups of subjects was performed - 562 subjects at 1.5T, a 75 subject group that also had manual segmentation and 111 subjects at 3T. A simple and novel statistical test based on the binomial distribution was used that handled outlying data points robustly. Median hippocampal atrophy rates were -1.1%/year for healthy controls, -3.0%/year for mildly cognitively impaired and -5.1%/year for AD subjects. The best reproducibility was observed for MAPS-HBSI (1.3%), while the other methods tested had reproducibilities at least 50% higher at 1.5T and 3T which was statistically significant. For a clinical trial, MAPS-HBSI should require less than half the subjects of the other methods tested. All methods had good accuracy versus manual segmentation. The MAPS-HBSI method has substantially better reproducibility than the other methods considered.<br /> (Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1872-7506
Volume :
252
Database :
MEDLINE
Journal :
Psychiatry research. Neuroimaging
Publication Type :
Academic Journal
Accession number :
27179313
Full Text :
https://doi.org/10.1016/j.pscychresns.2016.04.006