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Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and Severity
Alterations in tissue microstructure in normal-appearing white matter (NAWM), specifically measured by diffusion tensor imaging (DTI) fractional anisotropy (FA), have been associated with cognitive outcomes following stroke. The purpose of this study was to comprehensively compare conventional DTI m...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616672/ https://www.ncbi.nlm.nih.gov/pubmed/36313789 http://dx.doi.org/10.1155/2022/5860364 |
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author | Haddad, Seyyed M. H. Scott, Christopher J. M. Ozzoude, Miracle Berezuk, Courtney Holmes, Melissa Adamo, Sabrina Ramirez, Joel Arnott, Stephen R. Nanayakkara, Nuwan D. Binns, Malcolm Beaton, Derek Lou, Wendy Sunderland, Kelly Sujanthan, Sujeevini Lawrence, Jane Kwan, Donna Tan, Brian Casaubon, Leanne Mandzia, Jennifer Sahlas, Demetrios Saposnik, Gustavo Hassan, Ayman Levine, Brian McLaughlin, Paula Orange, J. B. Roberts, Angela Troyer, Angela Black, Sandra E. Dowlatshahi, Dar Strother, Stephen C. Swartz, Richard H. Symons, Sean Montero-Odasso, Manuel ONDRI Investigators, Bartha, Robert |
author_facet | Haddad, Seyyed M. H. Scott, Christopher J. M. Ozzoude, Miracle Berezuk, Courtney Holmes, Melissa Adamo, Sabrina Ramirez, Joel Arnott, Stephen R. Nanayakkara, Nuwan D. Binns, Malcolm Beaton, Derek Lou, Wendy Sunderland, Kelly Sujanthan, Sujeevini Lawrence, Jane Kwan, Donna Tan, Brian Casaubon, Leanne Mandzia, Jennifer Sahlas, Demetrios Saposnik, Gustavo Hassan, Ayman Levine, Brian McLaughlin, Paula Orange, J. B. Roberts, Angela Troyer, Angela Black, Sandra E. Dowlatshahi, Dar Strother, Stephen C. Swartz, Richard H. Symons, Sean Montero-Odasso, Manuel ONDRI Investigators, Bartha, Robert |
author_sort | Haddad, Seyyed M. H. |
collection | PubMed |
description | Alterations in tissue microstructure in normal-appearing white matter (NAWM), specifically measured by diffusion tensor imaging (DTI) fractional anisotropy (FA), have been associated with cognitive outcomes following stroke. The purpose of this study was to comprehensively compare conventional DTI measures of tissue microstructure in NAWM to diverse vascular brain lesions in people with cerebrovascular disease (CVD) and to examine associations between FA in NAWM and cerebrovascular risk factors. DTI metrics including fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were measured in cerebral tissues and cerebrovascular anomalies from 152 people with CVD participating in the Ontario Neurodegenerative Disease Research Initiative (ONDRI). Ten cerebral tissue types were segmented including NAWM, and vascular lesions including stroke, periventricular and deep white matter hyperintensities, periventricular and deep lacunar infarcts, and perivascular spaces (PVS) using T(1)-weighted, proton density-weighted, T(2)-weighted, and fluid attenuated inversion recovery MRI scans. Mean DTI metrics were measured in each tissue region using a previously developed DTI processing pipeline and compared between tissues using multivariate analysis of covariance. Associations between FA in NAWM and several CVD risk factors were also examined. DTI metrics in vascular lesions differed significantly from healthy tissue. Specifically, all tissue types had significantly different MD values, while FA was also found to be different in most tissue types. FA in NAWM was inversely related to hypertension and modified Rankin scale (mRS). This study demonstrated the differences between conventional DTI metrics, FA, MD, AD, and RD, in cerebral vascular lesions and healthy tissue types. Therefore, incorporating DTI to characterize the integrity of the tissue microstructure could help to define the extent and severity of various brain vascular anomalies. The association between FA within NAWM and clinical evaluation of hypertension and disability provides further evidence that white matter microstructural integrity is impacted by cerebrovascular function. |
format | Online Article Text |
id | pubmed-9616672 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-96166722022-10-29 Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and Severity Haddad, Seyyed M. H. Scott, Christopher J. M. Ozzoude, Miracle Berezuk, Courtney Holmes, Melissa Adamo, Sabrina Ramirez, Joel Arnott, Stephen R. Nanayakkara, Nuwan D. Binns, Malcolm Beaton, Derek Lou, Wendy Sunderland, Kelly Sujanthan, Sujeevini Lawrence, Jane Kwan, Donna Tan, Brian Casaubon, Leanne Mandzia, Jennifer Sahlas, Demetrios Saposnik, Gustavo Hassan, Ayman Levine, Brian McLaughlin, Paula Orange, J. B. Roberts, Angela Troyer, Angela Black, Sandra E. Dowlatshahi, Dar Strother, Stephen C. Swartz, Richard H. Symons, Sean Montero-Odasso, Manuel ONDRI Investigators, Bartha, Robert Int J Biomed Imaging Research Article Alterations in tissue microstructure in normal-appearing white matter (NAWM), specifically measured by diffusion tensor imaging (DTI) fractional anisotropy (FA), have been associated with cognitive outcomes following stroke. The purpose of this study was to comprehensively compare conventional DTI measures of tissue microstructure in NAWM to diverse vascular brain lesions in people with cerebrovascular disease (CVD) and to examine associations between FA in NAWM and cerebrovascular risk factors. DTI metrics including fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were measured in cerebral tissues and cerebrovascular anomalies from 152 people with CVD participating in the Ontario Neurodegenerative Disease Research Initiative (ONDRI). Ten cerebral tissue types were segmented including NAWM, and vascular lesions including stroke, periventricular and deep white matter hyperintensities, periventricular and deep lacunar infarcts, and perivascular spaces (PVS) using T(1)-weighted, proton density-weighted, T(2)-weighted, and fluid attenuated inversion recovery MRI scans. Mean DTI metrics were measured in each tissue region using a previously developed DTI processing pipeline and compared between tissues using multivariate analysis of covariance. Associations between FA in NAWM and several CVD risk factors were also examined. DTI metrics in vascular lesions differed significantly from healthy tissue. Specifically, all tissue types had significantly different MD values, while FA was also found to be different in most tissue types. FA in NAWM was inversely related to hypertension and modified Rankin scale (mRS). This study demonstrated the differences between conventional DTI metrics, FA, MD, AD, and RD, in cerebral vascular lesions and healthy tissue types. Therefore, incorporating DTI to characterize the integrity of the tissue microstructure could help to define the extent and severity of various brain vascular anomalies. The association between FA within NAWM and clinical evaluation of hypertension and disability provides further evidence that white matter microstructural integrity is impacted by cerebrovascular function. Hindawi 2022-10-21 /pmc/articles/PMC9616672/ /pubmed/36313789 http://dx.doi.org/10.1155/2022/5860364 Text en Copyright © 2022 Seyyed M. H. Haddad et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Haddad, Seyyed M. H. Scott, Christopher J. M. Ozzoude, Miracle Berezuk, Courtney Holmes, Melissa Adamo, Sabrina Ramirez, Joel Arnott, Stephen R. Nanayakkara, Nuwan D. Binns, Malcolm Beaton, Derek Lou, Wendy Sunderland, Kelly Sujanthan, Sujeevini Lawrence, Jane Kwan, Donna Tan, Brian Casaubon, Leanne Mandzia, Jennifer Sahlas, Demetrios Saposnik, Gustavo Hassan, Ayman Levine, Brian McLaughlin, Paula Orange, J. B. Roberts, Angela Troyer, Angela Black, Sandra E. Dowlatshahi, Dar Strother, Stephen C. Swartz, Richard H. Symons, Sean Montero-Odasso, Manuel ONDRI Investigators, Bartha, Robert Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and Severity |
title | Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and Severity |
title_full | Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and Severity |
title_fullStr | Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and Severity |
title_full_unstemmed | Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and Severity |
title_short | Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and Severity |
title_sort | comparison of diffusion tensor imaging metrics in normal-appearing white matter to cerebrovascular lesions and correlation with cerebrovascular disease risk factors and severity |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616672/ https://www.ncbi.nlm.nih.gov/pubmed/36313789 http://dx.doi.org/10.1155/2022/5860364 |
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