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A meta-analysis of diffusion tensor imaging of substantia nigra in patients with Parkinson’s disease
Parkinson’s disease (PD) is a common neurodegenerative disease characterized by severe, selective loss of pigmented neurons in the substantial nigra (SN). Previous studies have indicated that such loss could be detected by diffusion tensor imaging (DTI). Here, we try to consolidate current DTI data...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5811437/ https://www.ncbi.nlm.nih.gov/pubmed/29440768 http://dx.doi.org/10.1038/s41598-018-20076-y |
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author | Deng, Xiao-Yan Wang, Li Yang, Ting-Ting Li, Rui Yu, Gang |
author_facet | Deng, Xiao-Yan Wang, Li Yang, Ting-Ting Li, Rui Yu, Gang |
author_sort | Deng, Xiao-Yan |
collection | PubMed |
description | Parkinson’s disease (PD) is a common neurodegenerative disease characterized by severe, selective loss of pigmented neurons in the substantial nigra (SN). Previous studies have indicated that such loss could be detected by diffusion tensor imaging (DTI). Here, we try to consolidate current DTI data to both quantitatively determine the imaging changes in SN, as well as explore the potential use of DTI for PD diagnosis. Fourteen research articles are included in this meta-analysis, each obtained by searching PubMed, EMBASE, or Cochrane library database dated until July 2017. The articles contain 14 trials with 298 total PD patients and 283 healthy controls (HCs). The results show not only significantly lower FA values of SN in PD compared to that of HCs (WMD = −0.02, 95% CI = [−0.03, −0.02], p < 0.00001), but also a significantly higher MD in PD compared to HCs (WMD = 0.05, 95% CI = [0.03, 0.07], P < 0.0001). This indicates that the sharp difference detected between PD patients and HCs can be detected by DTI. By further analyzing the heterogeneity, we found that FA measurement of SN could be potentially used as a surrogate, noninvasive diagnostic marker toward PD diagnosis. |
format | Online Article Text |
id | pubmed-5811437 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58114372018-02-16 A meta-analysis of diffusion tensor imaging of substantia nigra in patients with Parkinson’s disease Deng, Xiao-Yan Wang, Li Yang, Ting-Ting Li, Rui Yu, Gang Sci Rep Article Parkinson’s disease (PD) is a common neurodegenerative disease characterized by severe, selective loss of pigmented neurons in the substantial nigra (SN). Previous studies have indicated that such loss could be detected by diffusion tensor imaging (DTI). Here, we try to consolidate current DTI data to both quantitatively determine the imaging changes in SN, as well as explore the potential use of DTI for PD diagnosis. Fourteen research articles are included in this meta-analysis, each obtained by searching PubMed, EMBASE, or Cochrane library database dated until July 2017. The articles contain 14 trials with 298 total PD patients and 283 healthy controls (HCs). The results show not only significantly lower FA values of SN in PD compared to that of HCs (WMD = −0.02, 95% CI = [−0.03, −0.02], p < 0.00001), but also a significantly higher MD in PD compared to HCs (WMD = 0.05, 95% CI = [0.03, 0.07], P < 0.0001). This indicates that the sharp difference detected between PD patients and HCs can be detected by DTI. By further analyzing the heterogeneity, we found that FA measurement of SN could be potentially used as a surrogate, noninvasive diagnostic marker toward PD diagnosis. Nature Publishing Group UK 2018-02-13 /pmc/articles/PMC5811437/ /pubmed/29440768 http://dx.doi.org/10.1038/s41598-018-20076-y Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Deng, Xiao-Yan Wang, Li Yang, Ting-Ting Li, Rui Yu, Gang A meta-analysis of diffusion tensor imaging of substantia nigra in patients with Parkinson’s disease |
title | A meta-analysis of diffusion tensor imaging of substantia nigra in patients with Parkinson’s disease |
title_full | A meta-analysis of diffusion tensor imaging of substantia nigra in patients with Parkinson’s disease |
title_fullStr | A meta-analysis of diffusion tensor imaging of substantia nigra in patients with Parkinson’s disease |
title_full_unstemmed | A meta-analysis of diffusion tensor imaging of substantia nigra in patients with Parkinson’s disease |
title_short | A meta-analysis of diffusion tensor imaging of substantia nigra in patients with Parkinson’s disease |
title_sort | meta-analysis of diffusion tensor imaging of substantia nigra in patients with parkinson’s disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5811437/ https://www.ncbi.nlm.nih.gov/pubmed/29440768 http://dx.doi.org/10.1038/s41598-018-20076-y |
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