Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and Severity. (21st October 2022)
- Record Type:
- Journal Article
- Title:
- Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and Severity. (21st October 2022)
- Main Title:
- Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and Severity
- Authors:
- 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
… (more) - Other Names:
- Wilson D. L. Academic Editor.
- Abstract:
- 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, allAbstract : 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. … (more)
- Is Part Of:
- International journal of biomedical imaging. Volume 2022(2022)
- Journal:
- International journal of biomedical imaging
- Issue:
- Volume 2022(2022)
- Issue Display:
- Volume 2022, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 2022
- Issue:
- 2022
- Issue Sort Value:
- 2022-2022-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-10-21
- Subjects:
- Diagnostic imaging -- Periodicals
Imaging systems in medicine -- Periodicals
Imagerie pour le diagnostic
Imagerie médicale
Diagnostic imaging
Imaging systems in medicine
Diagnostic Imaging -- Periodicals
Electronic journals
Periodicals
616.0754 - Journal URLs:
- https://www.hindawi.com/journals/ijbm/ ↗
http://www.hindawi.com/journals/ijbi ↗
http://bibpurl.oclc.org/web/20044 ↗
http://www.pubmedcentral.nih.gov/tocrender.fcgi?journal=496&action=archive ↗ - DOI:
- 10.1155/2022/5860364 ↗
- Languages:
- English
- ISSNs:
- 1687-4188
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 24196.xml