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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.
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; Bartha, Robert.
Afiliação
  • Haddad SMH; Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Canada.
  • Scott CJM; L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Ontario, Canada.
  • Ozzoude M; Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Toronto, Canada.
  • Berezuk C; L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Ontario, Canada.
  • Holmes M; Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Toronto, Canada.
  • Adamo S; Clinical Psychology, University of Toronto, Toronto, Canada.
  • Ramirez J; L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Ontario, Canada.
  • Arnott SR; Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Toronto, Canada.
  • Nanayakkara ND; Clinical Neurosciences, University of Toronto, Toronto, Canada.
  • Binns M; L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Ontario, Canada.
  • Beaton D; Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Toronto, Canada.
  • Lou W; Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada.
  • Sunderland K; Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Canada.
  • Sujanthan S; Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada.
  • Lawrence J; Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada.
  • Kwan D; Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
  • Tan B; Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada.
  • Casaubon L; Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada.
  • Mandzia J; Thunder Bay Regional Health Research Institute, Thunder Bay, Canada.
  • Sahlas D; Queen's University, Kingston, Canada.
  • Saposnik G; Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada.
  • Hassan A; Department of Medicine, University of Toronto, Toronto, Canada.
  • Levine B; Department of Medicine, Division of Neurology, University of Western Ontario, London, Canada.
  • McLaughlin P; Department of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, Canada.
  • Orange JB; Li Ka Shing Knowledge Institute, Toronto, Canada.
  • Roberts A; Thunder Bay Regional Research Institute, Thunder Bay, Canada.
  • Troyer A; Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada.
  • Black SE; Queen's University, Kingston, Canada.
  • Dowlatshahi D; School of Communication Sciences and Disorders, Western University, London, Canada.
  • Strother SC; Roxelyn and Richard Pepper Department of Communication Sciences and Disorder, Northwestern University, Evanston, USA.
  • Swartz RH; Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada.
  • Symons S; L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Ontario, Canada.
  • Montero-Odasso M; Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Toronto, Canada.
  • Ondri Investigators; Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada.
  • Bartha R; Sunnybrook Health Sciences Centre, University of Toronto, Stroke Research Program, Toronto, Canada.
Int J Biomed Imaging ; 2022: 5860364, 2022.
Article em En | MEDLINE | ID: mdl-36313789
ABSTRACT
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Risk_factors_studies Idioma: En Revista: Int J Biomed Imaging Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Risk_factors_studies Idioma: En Revista: Int J Biomed Imaging Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá