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...
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2022-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2022/5860364 |
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| author | Seyyed M. H. Haddad Christopher J. M. Scott Miracle Ozzoude Courtney Berezuk Melissa Holmes Sabrina Adamo Joel Ramirez Stephen R. Arnott Nuwan D. Nanayakkara Malcolm Binns Derek Beaton Wendy Lou Kelly Sunderland Sujeevini Sujanthan Jane Lawrence Donna Kwan Brian Tan Leanne Casaubon Jennifer Mandzia Demetrios Sahlas Gustavo Saposnik Ayman Hassan Brian Levine Paula McLaughlin J. B. Orange Angela Roberts Angela Troyer Sandra E. Black Dar Dowlatshahi Stephen C. Strother Richard H. Swartz Sean Symons Manuel Montero-Odasso null ONDRI Investigators Robert Bartha |
| author_facet | Seyyed M. H. Haddad Christopher J. M. Scott Miracle Ozzoude Courtney Berezuk Melissa Holmes Sabrina Adamo Joel Ramirez Stephen R. Arnott Nuwan D. Nanayakkara Malcolm Binns Derek Beaton Wendy Lou Kelly Sunderland Sujeevini Sujanthan Jane Lawrence Donna Kwan Brian Tan Leanne Casaubon Jennifer Mandzia Demetrios Sahlas Gustavo Saposnik Ayman Hassan Brian Levine Paula McLaughlin J. B. Orange Angela Roberts Angela Troyer Sandra E. Black Dar Dowlatshahi Stephen C. Strother Richard H. Swartz Sean Symons Manuel Montero-Odasso null ONDRI Investigators Robert Bartha |
| author_sort | Seyyed M. H. Haddad |
| collection | DOAJ |
| 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 T1-weighted, proton density-weighted, T2-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 | Article |
| id | doaj-art-434491eb59dd447e889c0c05ae1ef1af |
| institution | Kabale University |
| issn | 1687-4196 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
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| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-434491eb59dd447e889c0c05ae1ef1af2025-02-03T06:13:02ZengWileyInternational Journal of Biomedical Imaging1687-41962022-01-01202210.1155/2022/5860364Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and SeveritySeyyed M. H. Haddad0Christopher J. M. Scott1Miracle Ozzoude2Courtney Berezuk3Melissa Holmes4Sabrina Adamo5Joel Ramirez6Stephen R. Arnott7Nuwan D. Nanayakkara8Malcolm Binns9Derek Beaton10Wendy Lou11Kelly Sunderland12Sujeevini Sujanthan13Jane Lawrence14Donna Kwan15Brian Tan16Leanne Casaubon17Jennifer Mandzia18Demetrios Sahlas19Gustavo Saposnik20Ayman Hassan21Brian Levine22Paula McLaughlin23J. B. Orange24Angela Roberts25Angela Troyer26Sandra E. Black27Dar Dowlatshahi28Stephen C. Strother29Richard H. Swartz30Sean Symons31Manuel Montero-Odasso32null ONDRI Investigators33Robert Bartha34Centre for Functional and Metabolic MappingL.C. Campbell Cognitive Neurology Research UnitL.C. Campbell Cognitive Neurology Research UnitClinical PsychologyL.C. Campbell Cognitive Neurology Research UnitClinical NeurosciencesL.C. Campbell Cognitive Neurology Research UnitRotman Research InstituteCentre for Functional and Metabolic MappingRotman Research InstituteRotman Research InstituteDalla Lana School of Public HealthRotman Research InstituteRotman Research InstituteThunder Bay Regional Health Research InstituteQueen’s UniversityRotman Research InstituteDepartment of MedicineDepartment of MedicineDepartment of MedicineLi Ka Shing Knowledge InstituteThunder Bay Regional Research InstituteRotman Research InstituteQueen’s UniversitySchool of Communication Sciences and DisordersRoxelyn and Richard Pepper Department of Communication Sciences and DisorderRotman Research InstituteSunnybrook Health Sciences CentreOttawa Hospital Research InstituteDepartment of Medical BiophysicsSunnybrook Health Sciences CentreDepartment of Medical ImagingDepartment of MedicineOntario Neurodegenerative Disease InitiativeCentre for Functional and Metabolic MappingAlterations 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 T1-weighted, proton density-weighted, T2-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.http://dx.doi.org/10.1155/2022/5860364 |
| spellingShingle | Seyyed M. H. Haddad Christopher J. M. Scott Miracle Ozzoude Courtney Berezuk Melissa Holmes Sabrina Adamo Joel Ramirez Stephen R. Arnott Nuwan D. Nanayakkara Malcolm Binns Derek Beaton Wendy Lou Kelly Sunderland Sujeevini Sujanthan Jane Lawrence Donna Kwan Brian Tan Leanne Casaubon Jennifer Mandzia Demetrios Sahlas Gustavo Saposnik Ayman Hassan Brian Levine Paula McLaughlin J. B. Orange Angela Roberts Angela Troyer Sandra E. Black Dar Dowlatshahi Stephen C. Strother Richard H. Swartz Sean Symons Manuel Montero-Odasso null ONDRI Investigators Robert Bartha Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and Severity International Journal of Biomedical Imaging |
| 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 |
| url | http://dx.doi.org/10.1155/2022/5860364 |
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