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Norms for Automatic Estimation of Hippocampal Atrophy and a Step Forward for Applicability to the Italian Population
INTRODUCTION: 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 c...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273578/ https://www.ncbi.nlm.nih.gov/pubmed/34262425 http://dx.doi.org/10.3389/fnins.2021.656808 |
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author | De Francesco, Silvia Galluzzi, Samantha Vanacore, Nicola Festari, Cristina Rossini, Paolo Maria Cappa, Stefano F. Frisoni, Giovanni B. Redolfi, Alberto |
author_facet | De Francesco, Silvia Galluzzi, Samantha Vanacore, Nicola Festari, Cristina Rossini, Paolo Maria Cappa, Stefano F. Frisoni, Giovanni B. Redolfi, Alberto |
author_sort | De Francesco, Silvia |
collection | PubMed |
description | INTRODUCTION: 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. METHODS: 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. RESULTS: Hippocampal percentiles were checked with the chi-square goodness of fit test. P-values were not significant, showing that FS and AA algorithm distributions fitted the data well. Clinical, neuropsychological and volumetric features were similar in ADNI and IBNA (p > 0.01). Hippocampal volumes measured with both FS and AA were associated with age (p < 0.001). The 5th percentile thresholds, indicating left/right hippocampal atrophy were respectively: (i) below 3,223/3,456 mm(3) at 56 years and 2,506/2,415 mm(3) at 90 years for FS; (ii) below 4,583/4,873 mm(3) at 56 years and 3,831/3,870 mm(3) at 90 years for AA. The average volumes computed on 100 cognitively intact healthy controls (CN) selected from ARWiBo were close to the 50th percentiles, while those for 100 AD patients were close to the abnormal percentiles. DISCUSSION: Norms generated from ADNI through the automatic FS and AA segmentation tools may be used as normative references for Italian patients with suspected AD. |
format | Online Article Text |
id | pubmed-8273578 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82735782021-07-13 Norms for Automatic Estimation of Hippocampal Atrophy and a Step Forward for Applicability to the Italian Population De Francesco, Silvia Galluzzi, Samantha Vanacore, Nicola Festari, Cristina Rossini, Paolo Maria Cappa, Stefano F. Frisoni, Giovanni B. Redolfi, Alberto Front Neurosci Neuroscience INTRODUCTION: 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. METHODS: 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. RESULTS: Hippocampal percentiles were checked with the chi-square goodness of fit test. P-values were not significant, showing that FS and AA algorithm distributions fitted the data well. Clinical, neuropsychological and volumetric features were similar in ADNI and IBNA (p > 0.01). Hippocampal volumes measured with both FS and AA were associated with age (p < 0.001). The 5th percentile thresholds, indicating left/right hippocampal atrophy were respectively: (i) below 3,223/3,456 mm(3) at 56 years and 2,506/2,415 mm(3) at 90 years for FS; (ii) below 4,583/4,873 mm(3) at 56 years and 3,831/3,870 mm(3) at 90 years for AA. The average volumes computed on 100 cognitively intact healthy controls (CN) selected from ARWiBo were close to the 50th percentiles, while those for 100 AD patients were close to the abnormal percentiles. DISCUSSION: Norms generated from ADNI through the automatic FS and AA segmentation tools may be used as normative references for Italian patients with suspected AD. Frontiers Media S.A. 2021-06-28 /pmc/articles/PMC8273578/ /pubmed/34262425 http://dx.doi.org/10.3389/fnins.2021.656808 Text en Copyright © 2021 De Francesco, Galluzzi, Vanacore, Festari, Rossini, Cappa, Frisoni and Redolfi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience De Francesco, Silvia Galluzzi, Samantha Vanacore, Nicola Festari, Cristina Rossini, Paolo Maria Cappa, Stefano F. Frisoni, Giovanni B. Redolfi, Alberto Norms for Automatic Estimation of Hippocampal Atrophy and a Step Forward for Applicability to the Italian Population |
title | Norms for Automatic Estimation of Hippocampal Atrophy and a Step Forward for Applicability to the Italian Population |
title_full | Norms for Automatic Estimation of Hippocampal Atrophy and a Step Forward for Applicability to the Italian Population |
title_fullStr | Norms for Automatic Estimation of Hippocampal Atrophy and a Step Forward for Applicability to the Italian Population |
title_full_unstemmed | Norms for Automatic Estimation of Hippocampal Atrophy and a Step Forward for Applicability to the Italian Population |
title_short | Norms for Automatic Estimation of Hippocampal Atrophy and a Step Forward for Applicability to the Italian Population |
title_sort | norms for automatic estimation of hippocampal atrophy and a step forward for applicability to the italian population |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273578/ https://www.ncbi.nlm.nih.gov/pubmed/34262425 http://dx.doi.org/10.3389/fnins.2021.656808 |
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