Norms for Automatic Estimation of Hippocampal Atrophy and a Step Forward for Applicability to the Italian Population.
aging
automatic segmentation tools
hippocampal volume
magnetic resonance imaging
normative distribution
Journal
Frontiers in neuroscience
ISSN: 1662-4548
Titre abrégé: Front Neurosci
Pays: Switzerland
ID NLM: 101478481
Informations de publication
Date de publication:
2021
2021
Historique:
received:
21
01
2021
accepted:
03
06
2021
entrez:
15
7
2021
pubmed:
16
7
2021
medline:
16
7
2021
Statut:
epublish
Résumé
Hippocampal volume is one of the main biomarkers of Alzheimer's Dementia (AD). Over the years, advanced tools that performed automatic segmentation of Magnetic Resonance Imaging (MRI) T13D scans have been developed, such as FreeSurfer (FS) and ACM-Adaboost (AA). Hippocampal volume is considered abnormal when it is below the 5th percentile of the normative population. The aim of this study was to set norms, established from the Alzheimer's Disease Neuroimaging Initiative (ADNI) population, for hippocampal volume measured with FS v.6.0 and AA tools in the neuGRID platform (www.neugrid2.eu) and demonstrate their applicability for the Italian population. Norms were set from a large group of 545 healthy controls belonging to ADNI. For each pipeline, subjects with segmentation errors were discarded, resulting in 532 valid segmentations for FS and 421 for AA (age range 56-90 years). The comparability of ADNI and the Italian Brain Normative Archive (IBNA), representative of the Italian general population, was assessed testing clinical variables, neuropsychological scores and normalized hippocampal volumes. Finally, percentiles were validated using the Italian Alzheimer's disease Repository Without Borders (ARWiBo) as external independent data set to evaluate FS and AA generalizability. Hippocampal percentiles were checked with the chi-square goodness of fit test. Norms generated from ADNI through the automatic FS and AA segmentation tools may be used as normative references for Italian patients with suspected AD.
Identifiants
pubmed: 34262425
doi: 10.3389/fnins.2021.656808
pmc: PMC8273578
doi:
Types de publication
Journal Article
Langues
eng
Pagination
656808Informations de copyright
Copyright © 2021 De Francesco, Galluzzi, Vanacore, Festari, Rossini, Cappa, Frisoni and Redolfi.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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