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Six Visual Rating Scales as A Biomarker for Monitoring Atrophied Brain Volume in Parkinson’s Disease
The focus of our investigation was to determine the feasibility of using six visual rating scales as whole-brain imaging markers for monitoring atrophied brain volume in Parkinson’s disease (PD). This was a prospective cross-sectional single-center observational study. A total of 98 PD patients were...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JKL International LLC
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7505277/ https://www.ncbi.nlm.nih.gov/pubmed/33014524 http://dx.doi.org/10.14336/AD.2019.1103 |
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author | Lin, Yu Fu, Ying Zeng, Yi-Fang Hu, Jian-Ping Lin, Xiao-Zhen Cai, Nai-Qing Weng, Qiang Zhao, Yi-Jing Lin, Yi Cao, Dai-Rong Wang, Ning |
author_facet | Lin, Yu Fu, Ying Zeng, Yi-Fang Hu, Jian-Ping Lin, Xiao-Zhen Cai, Nai-Qing Weng, Qiang Zhao, Yi-Jing Lin, Yi Cao, Dai-Rong Wang, Ning |
author_sort | Lin, Yu |
collection | PubMed |
description | The focus of our investigation was to determine the feasibility of using six visual rating scales as whole-brain imaging markers for monitoring atrophied brain volume in Parkinson’s disease (PD). This was a prospective cross-sectional single-center observational study. A total of 98 PD patients were enrolled and underwent an MRI scan and a battery of neuropsychological evaluations. The brain volume was calculated using the online resource MRICloud. Brain atrophy was rated based on six visual rating scales. Correlation analysis was performed between visual rating scores and brain volume and clinical features. We found a significant negative correlation between the total scores of visual rating scores and quantitative brain volume, indicating that six visual rating scales reliably reflect whole brain atrophy in PD. Multiple linear regression-based analyses indicated severer non-motor symptoms were significantly associated with higher scores on the visual rating scales. Furthermore, we performed sample size calculations to evaluate the superiority of visual rating scales; the result show that using total scores of visual rating scales as an outcome measure, sample sizes for differentiating cognition injury require significantly fewer subjects (n = 177) compared with using total brain volume (n = 2524). Our data support the use of the total visual rating scores rather than quantitative brain volume as a biomarker for monitoring cerebral atrophy. |
format | Online Article Text |
id | pubmed-7505277 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JKL International LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-75052772020-10-01 Six Visual Rating Scales as A Biomarker for Monitoring Atrophied Brain Volume in Parkinson’s Disease Lin, Yu Fu, Ying Zeng, Yi-Fang Hu, Jian-Ping Lin, Xiao-Zhen Cai, Nai-Qing Weng, Qiang Zhao, Yi-Jing Lin, Yi Cao, Dai-Rong Wang, Ning Aging Dis Orginal Article The focus of our investigation was to determine the feasibility of using six visual rating scales as whole-brain imaging markers for monitoring atrophied brain volume in Parkinson’s disease (PD). This was a prospective cross-sectional single-center observational study. A total of 98 PD patients were enrolled and underwent an MRI scan and a battery of neuropsychological evaluations. The brain volume was calculated using the online resource MRICloud. Brain atrophy was rated based on six visual rating scales. Correlation analysis was performed between visual rating scores and brain volume and clinical features. We found a significant negative correlation between the total scores of visual rating scores and quantitative brain volume, indicating that six visual rating scales reliably reflect whole brain atrophy in PD. Multiple linear regression-based analyses indicated severer non-motor symptoms were significantly associated with higher scores on the visual rating scales. Furthermore, we performed sample size calculations to evaluate the superiority of visual rating scales; the result show that using total scores of visual rating scales as an outcome measure, sample sizes for differentiating cognition injury require significantly fewer subjects (n = 177) compared with using total brain volume (n = 2524). Our data support the use of the total visual rating scores rather than quantitative brain volume as a biomarker for monitoring cerebral atrophy. JKL International LLC 2020-10-01 /pmc/articles/PMC7505277/ /pubmed/33014524 http://dx.doi.org/10.14336/AD.2019.1103 Text en copyright: © 2020 Lin et al. http://creativecommons.org/licenses/by/2.0/ this is an open access article distributed under the terms of the creative commons attribution license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | Orginal Article Lin, Yu Fu, Ying Zeng, Yi-Fang Hu, Jian-Ping Lin, Xiao-Zhen Cai, Nai-Qing Weng, Qiang Zhao, Yi-Jing Lin, Yi Cao, Dai-Rong Wang, Ning Six Visual Rating Scales as A Biomarker for Monitoring Atrophied Brain Volume in Parkinson’s Disease |
title | Six Visual Rating Scales as A Biomarker for Monitoring Atrophied Brain Volume in Parkinson’s Disease |
title_full | Six Visual Rating Scales as A Biomarker for Monitoring Atrophied Brain Volume in Parkinson’s Disease |
title_fullStr | Six Visual Rating Scales as A Biomarker for Monitoring Atrophied Brain Volume in Parkinson’s Disease |
title_full_unstemmed | Six Visual Rating Scales as A Biomarker for Monitoring Atrophied Brain Volume in Parkinson’s Disease |
title_short | Six Visual Rating Scales as A Biomarker for Monitoring Atrophied Brain Volume in Parkinson’s Disease |
title_sort | six visual rating scales as a biomarker for monitoring atrophied brain volume in parkinson’s disease |
topic | Orginal Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7505277/ https://www.ncbi.nlm.nih.gov/pubmed/33014524 http://dx.doi.org/10.14336/AD.2019.1103 |
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