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Medial temporal atrophy in preclinical dementia: Visual and automated assessment during six year follow-up
Medial temporal lobe (MTL) atrophy is an important morphological marker of many dementias and is closely related to cognitive decline. In this study we aimed to characterize longitudinal progression of MTL atrophy in 93 individuals with subjective cognitive decline and mild cognitive impairment foll...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7317671/ https://www.ncbi.nlm.nih.gov/pubmed/32580125 http://dx.doi.org/10.1016/j.nicl.2020.102310 |
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author | Mårtensson, Gustav Håkansson, Claes Pereira, Joana B. Palmqvist, Sebastian Hansson, Oskar van Westen, Danielle Westman, Eric |
author_facet | Mårtensson, Gustav Håkansson, Claes Pereira, Joana B. Palmqvist, Sebastian Hansson, Oskar van Westen, Danielle Westman, Eric |
author_sort | Mårtensson, Gustav |
collection | PubMed |
description | Medial temporal lobe (MTL) atrophy is an important morphological marker of many dementias and is closely related to cognitive decline. In this study we aimed to characterize longitudinal progression of MTL atrophy in 93 individuals with subjective cognitive decline and mild cognitive impairment followed up over six years, and to assess if clinical rating scales are able to detect these changes. All MRI images were visually rated according to Scheltens’ scale of medial temporal atrophy (MTA) by two neuroradiologists and AVRA, a software for automated MTA ratings. The images were also segmented using FreeSurfer’s longitudinal pipeline in order to compare the MTA ratings to volumes of the hippocampi and inferior lateral ventricles. We found that MTL atrophy rates increased with CSF biomarker abnormality, used to define preclinical stages of Alzheimer’s Disease. Both AVRA’s and the radiologists’ MTA ratings showed similar longitudinal trends as the subcortical volumes, suggesting that visual rating scales provide a valid alternative to automatic segmentations. Our results further showed that it took more than 8 years on average for individuals with mild cognitive impairment, and an Alzheimer’s disease biomarker profile, to increase the MTA score by one. This suggests that discrete MTA ratings are too coarse for tracking individual MTL atrophy in short time spans. While the MTA scores from each radiologist showed strong correlations to subcortical volumes, the inter-rater agreement was low. We conclude that the main limitation of quantifying MTL atrophy with visual ratings in clinics is the subjectiveness of the assessment. |
format | Online Article Text |
id | pubmed-7317671 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-73176712020-06-30 Medial temporal atrophy in preclinical dementia: Visual and automated assessment during six year follow-up Mårtensson, Gustav Håkansson, Claes Pereira, Joana B. Palmqvist, Sebastian Hansson, Oskar van Westen, Danielle Westman, Eric Neuroimage Clin Regular Article Medial temporal lobe (MTL) atrophy is an important morphological marker of many dementias and is closely related to cognitive decline. In this study we aimed to characterize longitudinal progression of MTL atrophy in 93 individuals with subjective cognitive decline and mild cognitive impairment followed up over six years, and to assess if clinical rating scales are able to detect these changes. All MRI images were visually rated according to Scheltens’ scale of medial temporal atrophy (MTA) by two neuroradiologists and AVRA, a software for automated MTA ratings. The images were also segmented using FreeSurfer’s longitudinal pipeline in order to compare the MTA ratings to volumes of the hippocampi and inferior lateral ventricles. We found that MTL atrophy rates increased with CSF biomarker abnormality, used to define preclinical stages of Alzheimer’s Disease. Both AVRA’s and the radiologists’ MTA ratings showed similar longitudinal trends as the subcortical volumes, suggesting that visual rating scales provide a valid alternative to automatic segmentations. Our results further showed that it took more than 8 years on average for individuals with mild cognitive impairment, and an Alzheimer’s disease biomarker profile, to increase the MTA score by one. This suggests that discrete MTA ratings are too coarse for tracking individual MTL atrophy in short time spans. While the MTA scores from each radiologist showed strong correlations to subcortical volumes, the inter-rater agreement was low. We conclude that the main limitation of quantifying MTL atrophy with visual ratings in clinics is the subjectiveness of the assessment. Elsevier 2020-06-10 /pmc/articles/PMC7317671/ /pubmed/32580125 http://dx.doi.org/10.1016/j.nicl.2020.102310 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Regular Article Mårtensson, Gustav Håkansson, Claes Pereira, Joana B. Palmqvist, Sebastian Hansson, Oskar van Westen, Danielle Westman, Eric Medial temporal atrophy in preclinical dementia: Visual and automated assessment during six year follow-up |
title | Medial temporal atrophy in preclinical dementia: Visual and automated assessment during six year follow-up |
title_full | Medial temporal atrophy in preclinical dementia: Visual and automated assessment during six year follow-up |
title_fullStr | Medial temporal atrophy in preclinical dementia: Visual and automated assessment during six year follow-up |
title_full_unstemmed | Medial temporal atrophy in preclinical dementia: Visual and automated assessment during six year follow-up |
title_short | Medial temporal atrophy in preclinical dementia: Visual and automated assessment during six year follow-up |
title_sort | medial temporal atrophy in preclinical dementia: visual and automated assessment during six year follow-up |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7317671/ https://www.ncbi.nlm.nih.gov/pubmed/32580125 http://dx.doi.org/10.1016/j.nicl.2020.102310 |
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