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Ventricular features as reliable differentiators between bvFTD and other dementias
INTRODUCTION: Lateral ventricles are reliable and sensitive indicators of brain atrophy and disease progression in behavioral variant frontotemporal dementia (bvFTD). We aimed to investigate whether an automated tool using ventricular features could improve diagnostic accuracy in bvFTD across neurod...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8856914/ https://www.ncbi.nlm.nih.gov/pubmed/35134704 http://dx.doi.org/10.1016/j.nicl.2022.102947 |
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author | Manera, Ana L. Dadar, Mahsa Collins, D. Louis Ducharme, Simon |
author_facet | Manera, Ana L. Dadar, Mahsa Collins, D. Louis Ducharme, Simon |
author_sort | Manera, Ana L. |
collection | PubMed |
description | INTRODUCTION: Lateral ventricles are reliable and sensitive indicators of brain atrophy and disease progression in behavioral variant frontotemporal dementia (bvFTD). We aimed to investigate whether an automated tool using ventricular features could improve diagnostic accuracy in bvFTD across neurodegenerative diseases. METHODS: Using 678 subjects −69 bvFTD, 38 semantic variant, 37 primary non-fluent aphasia, 218 amyloid + mild cognitive impairment, 74 amyloid + Alzheimer’s Dementia and 242 normal controls- with a total of 2750 timepoints, lateral ventricles were segmented and differences in ventricular features were assessed between bvFTD, normal controls and other dementia cohorts. RESULTS: Ventricular antero-posterior ratio (APR) was the only feature that was significantly different and increased faster in bvFTD compared to all other cohorts. We achieved a 10-fold cross-validation accuracy of 80% (77% sensitivity, 82% specificity) in differentiating bvFTD from all other cohorts with other ventricular features (i.e., total ventricular volume and left–right lateral ventricle ratios), and 76% accuracy using only the single APR feature. DISCUSSION: Ventricular features, particularly the APR, might be reliable and easy-to-implement markers for bvFTD diagnosis. We have made our ventricle feature estimation and bvFTD diagnostic tool publicly available, allowing application of our model in other studies. |
format | Online Article Text |
id | pubmed-8856914 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-88569142022-03-02 Ventricular features as reliable differentiators between bvFTD and other dementias Manera, Ana L. Dadar, Mahsa Collins, D. Louis Ducharme, Simon Neuroimage Clin Regular Article INTRODUCTION: Lateral ventricles are reliable and sensitive indicators of brain atrophy and disease progression in behavioral variant frontotemporal dementia (bvFTD). We aimed to investigate whether an automated tool using ventricular features could improve diagnostic accuracy in bvFTD across neurodegenerative diseases. METHODS: Using 678 subjects −69 bvFTD, 38 semantic variant, 37 primary non-fluent aphasia, 218 amyloid + mild cognitive impairment, 74 amyloid + Alzheimer’s Dementia and 242 normal controls- with a total of 2750 timepoints, lateral ventricles were segmented and differences in ventricular features were assessed between bvFTD, normal controls and other dementia cohorts. RESULTS: Ventricular antero-posterior ratio (APR) was the only feature that was significantly different and increased faster in bvFTD compared to all other cohorts. We achieved a 10-fold cross-validation accuracy of 80% (77% sensitivity, 82% specificity) in differentiating bvFTD from all other cohorts with other ventricular features (i.e., total ventricular volume and left–right lateral ventricle ratios), and 76% accuracy using only the single APR feature. DISCUSSION: Ventricular features, particularly the APR, might be reliable and easy-to-implement markers for bvFTD diagnosis. We have made our ventricle feature estimation and bvFTD diagnostic tool publicly available, allowing application of our model in other studies. Elsevier 2022-01-22 /pmc/articles/PMC8856914/ /pubmed/35134704 http://dx.doi.org/10.1016/j.nicl.2022.102947 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Regular Article Manera, Ana L. Dadar, Mahsa Collins, D. Louis Ducharme, Simon Ventricular features as reliable differentiators between bvFTD and other dementias |
title | Ventricular features as reliable differentiators between bvFTD and other dementias |
title_full | Ventricular features as reliable differentiators between bvFTD and other dementias |
title_fullStr | Ventricular features as reliable differentiators between bvFTD and other dementias |
title_full_unstemmed | Ventricular features as reliable differentiators between bvFTD and other dementias |
title_short | Ventricular features as reliable differentiators between bvFTD and other dementias |
title_sort | ventricular features as reliable differentiators between bvftd and other dementias |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8856914/ https://www.ncbi.nlm.nih.gov/pubmed/35134704 http://dx.doi.org/10.1016/j.nicl.2022.102947 |
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