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Detecting Primary Progressive Aphasia Atrophy Patterns: A Comparison of Visual Assessment and Quantitative Neuroimaging Techniques
BACKGROUND: There are now clinically available automated MRI analysis software programs that compare brain volumes of patients to a normative sample and provide z-score data for various brain regions. These programs have yet to be validated in primary progressive aphasia (PPA). OBJECTIVE: To address...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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IOS Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484148/ https://www.ncbi.nlm.nih.gov/pubmed/36186726 http://dx.doi.org/10.3233/ADR-220036 |
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author | Franczak, Stephanie Pommy, Jessica Minor, Greta Zolliecoffer, Chandler Bhalla, Manav Agarwal, Mohit Nencka, Andrew Wang, Yang Klein, Andrew O’Neill, Darren Henry, Jude Umfleet, Glass |
author_facet | Franczak, Stephanie Pommy, Jessica Minor, Greta Zolliecoffer, Chandler Bhalla, Manav Agarwal, Mohit Nencka, Andrew Wang, Yang Klein, Andrew O’Neill, Darren Henry, Jude Umfleet, Glass |
author_sort | Franczak, Stephanie |
collection | PubMed |
description | BACKGROUND: There are now clinically available automated MRI analysis software programs that compare brain volumes of patients to a normative sample and provide z-score data for various brain regions. These programs have yet to be validated in primary progressive aphasia (PPA). OBJECTIVE: To address this gap in the literature, we examined Neuroreader(™) z-scores in PPA, relative to visual MRI assessment. We predicted that Neuroreader(™) 1) would be more sensitive for detecting left > right atrophy in the cortical lobar regions in logopenic variant PPA clinical phenotype (lvPPA), and 2) would distinguish lvPPA (n = 11) from amnestic mild cognitive impairment (aMCI; n = 12). METHODS: lvPPA or aMCI patients who underwent MRI with Neuroreader(™) were included in this study. Two neuroradiologists rated 10 regions. Neuroreader(™) lobar z-scores for those 10 regions, as well as a hippocampal asymmetry metric, were included in analyses. RESULTS: Cohen’s Kappa coefficients were significant in 10 of the 28 computations (k = 0.351 to 0.593, p≤0.029). Neuroradiologists agreed 0% of the time that left asymmetry was present across regions. No significant differences emerged between aMCI and lvPPA in Neuroreader(™) z-scores across left or right frontal, temporal, or parietal regions (ps > 0.10). There were significantly lower z-scores in the left compared to right for the hippocampus, as well as parietal, occipital, and temporal cortices in lvPPA. CONCLUSION: Overall, our results indicated moderate to low interrater reliability, and raters never agreed that left asymmetry was present. While lower z-scores in the left hemisphere regions emerged in lvPPA, Neuroreader(™) failed to differentiate lvPPA from aMCI. |
format | Online Article Text |
id | pubmed-9484148 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | IOS Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-94841482022-09-30 Detecting Primary Progressive Aphasia Atrophy Patterns: A Comparison of Visual Assessment and Quantitative Neuroimaging Techniques Franczak, Stephanie Pommy, Jessica Minor, Greta Zolliecoffer, Chandler Bhalla, Manav Agarwal, Mohit Nencka, Andrew Wang, Yang Klein, Andrew O’Neill, Darren Henry, Jude Umfleet, Glass J Alzheimers Dis Rep Research Report BACKGROUND: There are now clinically available automated MRI analysis software programs that compare brain volumes of patients to a normative sample and provide z-score data for various brain regions. These programs have yet to be validated in primary progressive aphasia (PPA). OBJECTIVE: To address this gap in the literature, we examined Neuroreader(™) z-scores in PPA, relative to visual MRI assessment. We predicted that Neuroreader(™) 1) would be more sensitive for detecting left > right atrophy in the cortical lobar regions in logopenic variant PPA clinical phenotype (lvPPA), and 2) would distinguish lvPPA (n = 11) from amnestic mild cognitive impairment (aMCI; n = 12). METHODS: lvPPA or aMCI patients who underwent MRI with Neuroreader(™) were included in this study. Two neuroradiologists rated 10 regions. Neuroreader(™) lobar z-scores for those 10 regions, as well as a hippocampal asymmetry metric, were included in analyses. RESULTS: Cohen’s Kappa coefficients were significant in 10 of the 28 computations (k = 0.351 to 0.593, p≤0.029). Neuroradiologists agreed 0% of the time that left asymmetry was present across regions. No significant differences emerged between aMCI and lvPPA in Neuroreader(™) z-scores across left or right frontal, temporal, or parietal regions (ps > 0.10). There were significantly lower z-scores in the left compared to right for the hippocampus, as well as parietal, occipital, and temporal cortices in lvPPA. CONCLUSION: Overall, our results indicated moderate to low interrater reliability, and raters never agreed that left asymmetry was present. While lower z-scores in the left hemisphere regions emerged in lvPPA, Neuroreader(™) failed to differentiate lvPPA from aMCI. IOS Press 2022-08-05 /pmc/articles/PMC9484148/ /pubmed/36186726 http://dx.doi.org/10.3233/ADR-220036 Text en © 2022 – The authors. Published by IOS Press https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License (https://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Report Franczak, Stephanie Pommy, Jessica Minor, Greta Zolliecoffer, Chandler Bhalla, Manav Agarwal, Mohit Nencka, Andrew Wang, Yang Klein, Andrew O’Neill, Darren Henry, Jude Umfleet, Glass Detecting Primary Progressive Aphasia Atrophy Patterns: A Comparison of Visual Assessment and Quantitative Neuroimaging Techniques |
title | Detecting Primary Progressive Aphasia Atrophy Patterns: A Comparison of Visual Assessment and Quantitative Neuroimaging Techniques |
title_full | Detecting Primary Progressive Aphasia Atrophy Patterns: A Comparison of Visual Assessment and Quantitative Neuroimaging Techniques |
title_fullStr | Detecting Primary Progressive Aphasia Atrophy Patterns: A Comparison of Visual Assessment and Quantitative Neuroimaging Techniques |
title_full_unstemmed | Detecting Primary Progressive Aphasia Atrophy Patterns: A Comparison of Visual Assessment and Quantitative Neuroimaging Techniques |
title_short | Detecting Primary Progressive Aphasia Atrophy Patterns: A Comparison of Visual Assessment and Quantitative Neuroimaging Techniques |
title_sort | detecting primary progressive aphasia atrophy patterns: a comparison of visual assessment and quantitative neuroimaging techniques |
topic | Research Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484148/ https://www.ncbi.nlm.nih.gov/pubmed/36186726 http://dx.doi.org/10.3233/ADR-220036 |
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