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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...

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Autores principales: Mårtensson, Gustav, Håkansson, Claes, Pereira, Joana B., Palmqvist, Sebastian, Hansson, Oskar, van Westen, Danielle, Westman, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
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.
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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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