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Diffusion Tensor Imaging as a Tool to Evaluate the Cognitive Function of Patients With Vascular Dementia: A Meta-Analysis
Vascular dementia (VaD) is the most common type of dementia secondary to Alzheimer’s disease. The pathologic mechanism of VaD is complex, and VaD still lacks a more objective diagnosis and evaluation method. Diffusion tensor imaging (DTI) can better detect the organizational structure and functional...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10158599/ https://www.ncbi.nlm.nih.gov/pubmed/35986673 http://dx.doi.org/10.1097/NRL.0000000000000461 |
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author | Zhang, Qiuchi Yan, Xiwu Du, Jun Chen, Zhaoyao Chang, Cheng |
author_facet | Zhang, Qiuchi Yan, Xiwu Du, Jun Chen, Zhaoyao Chang, Cheng |
author_sort | Zhang, Qiuchi |
collection | PubMed |
description | Vascular dementia (VaD) is the most common type of dementia secondary to Alzheimer’s disease. The pathologic mechanism of VaD is complex, and VaD still lacks a more objective diagnosis and evaluation method. Diffusion tensor imaging (DTI) can better detect the organizational structure and functional characteristics compared with any other diagnosis methods. Therefore, DTI has broad application in evaluating the severity and prognosis of VaD. This study aimed to assess the value of DTI in evaluating the cognitive function of patients with VaD. METHODS: Authors searched Pubmed, Embase, and Cochrane Library, using the search terms, such as “diffusion tensor imaging,” “DTI,” “Vascular Dementia,” “Arteriosclerotic Dementia,” “Cognition,” and “Cognitive.” A voxel-based meta-analysis combined with quality statistics was performed, using the anisotropic effect-size version of the signed differential mapping method. RESULTS: A total of 8 case-control studies were included in this meta-analysis. The sample size of patients ranged from 35 to 60, including 166 patients in the VaD group and 177 healthy individuals. The DTI imaging of the brain tissue of VaD patients was significantly different from that of healthy individuals. CONCLUSIONS: DTI imaging of the brain tissue of VaD patients was clearly different from that of healthy controls. Therefore it may be feasible to use DTI imaging as a diagnostic method for VaD. |
format | Online Article Text |
id | pubmed-10158599 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-101585992023-05-05 Diffusion Tensor Imaging as a Tool to Evaluate the Cognitive Function of Patients With Vascular Dementia: A Meta-Analysis Zhang, Qiuchi Yan, Xiwu Du, Jun Chen, Zhaoyao Chang, Cheng Neurologist Original Articles Vascular dementia (VaD) is the most common type of dementia secondary to Alzheimer’s disease. The pathologic mechanism of VaD is complex, and VaD still lacks a more objective diagnosis and evaluation method. Diffusion tensor imaging (DTI) can better detect the organizational structure and functional characteristics compared with any other diagnosis methods. Therefore, DTI has broad application in evaluating the severity and prognosis of VaD. This study aimed to assess the value of DTI in evaluating the cognitive function of patients with VaD. METHODS: Authors searched Pubmed, Embase, and Cochrane Library, using the search terms, such as “diffusion tensor imaging,” “DTI,” “Vascular Dementia,” “Arteriosclerotic Dementia,” “Cognition,” and “Cognitive.” A voxel-based meta-analysis combined with quality statistics was performed, using the anisotropic effect-size version of the signed differential mapping method. RESULTS: A total of 8 case-control studies were included in this meta-analysis. The sample size of patients ranged from 35 to 60, including 166 patients in the VaD group and 177 healthy individuals. The DTI imaging of the brain tissue of VaD patients was significantly different from that of healthy individuals. CONCLUSIONS: DTI imaging of the brain tissue of VaD patients was clearly different from that of healthy controls. Therefore it may be feasible to use DTI imaging as a diagnostic method for VaD. Lippincott Williams & Wilkins 2022-08-19 /pmc/articles/PMC10158599/ /pubmed/35986673 http://dx.doi.org/10.1097/NRL.0000000000000461 Text en Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Original Articles Zhang, Qiuchi Yan, Xiwu Du, Jun Chen, Zhaoyao Chang, Cheng Diffusion Tensor Imaging as a Tool to Evaluate the Cognitive Function of Patients With Vascular Dementia: A Meta-Analysis |
title | Diffusion Tensor Imaging as a Tool to Evaluate the Cognitive Function of Patients With Vascular Dementia: A Meta-Analysis |
title_full | Diffusion Tensor Imaging as a Tool to Evaluate the Cognitive Function of Patients With Vascular Dementia: A Meta-Analysis |
title_fullStr | Diffusion Tensor Imaging as a Tool to Evaluate the Cognitive Function of Patients With Vascular Dementia: A Meta-Analysis |
title_full_unstemmed | Diffusion Tensor Imaging as a Tool to Evaluate the Cognitive Function of Patients With Vascular Dementia: A Meta-Analysis |
title_short | Diffusion Tensor Imaging as a Tool to Evaluate the Cognitive Function of Patients With Vascular Dementia: A Meta-Analysis |
title_sort | diffusion tensor imaging as a tool to evaluate the cognitive function of patients with vascular dementia: a meta-analysis |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10158599/ https://www.ncbi.nlm.nih.gov/pubmed/35986673 http://dx.doi.org/10.1097/NRL.0000000000000461 |
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