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Association of Stroke Lesion Pattern and White Matter Hyperintensity Burden With Stroke Severity and Outcome.

Authors :
Bonkhoff, AK
Hong, S
Bretzner, M
Schirmer, MD
Regenhardt, RW
Arsava, EM
Donahue, K
Nardin, M
Dalca, A
Giese, A-K
Etherton, MR
Hancock, BL
Mocking, SJT
McIntosh, E
Attia, J
Benavente, O
Cole, JW
Donatti, A
Griessenauer, C
Heitsch, L
Holmegaard, L
Jood, K
Jimenez-Conde, J
Kittner, S
Lemmens, R
Levi, C
McDonough, CW
Meschia, J
Phuah, C-L
Rolfs, A
Ropele, S
Rosand, J
Roquer, J
Rundek, T
Sacco, RL
Schmidt, R
Sharma, P
Slowik, A
Soederholm, M
Sousa, A
Stanne, TM
Strbian, D
Tatlisumak, T
Thijs, V
Vagal, A
Wasselius, J
Woo, D
Zand, R
McArdle, P
Worrall, BB
Jern, C
Lindgren, AG
Maguire, J
Golland, P
Bzdok, D
Wu, O
Rost, NS
Bonkhoff, AK
Hong, S
Bretzner, M
Schirmer, MD
Regenhardt, RW
Arsava, EM
Donahue, K
Nardin, M
Dalca, A
Giese, A-K
Etherton, MR
Hancock, BL
Mocking, SJT
McIntosh, E
Attia, J
Benavente, O
Cole, JW
Donatti, A
Griessenauer, C
Heitsch, L
Holmegaard, L
Jood, K
Jimenez-Conde, J
Kittner, S
Lemmens, R
Levi, C
McDonough, CW
Meschia, J
Phuah, C-L
Rolfs, A
Ropele, S
Rosand, J
Roquer, J
Rundek, T
Sacco, RL
Schmidt, R
Sharma, P
Slowik, A
Soederholm, M
Sousa, A
Stanne, TM
Strbian, D
Tatlisumak, T
Thijs, V
Vagal, A
Wasselius, J
Woo, D
Zand, R
McArdle, P
Worrall, BB
Jern, C
Lindgren, AG
Maguire, J
Golland, P
Bzdok, D
Wu, O
Rost, NS
Publication Year :
2022

Abstract

BACKGROUND AND OBJECTIVES: To examine whether high white matter hyperintensity (WMH) burden is associated with greater stroke severity and worse functional outcomes in lesion pattern-specific ways. METHODS: MR neuroimaging and NIH Stroke Scale data at index stroke and the modified Rankin Scale (mRS) score at 3-6 months after stroke were obtained from the MRI-Genetics Interface Exploration study of patients with acute ischemic stroke (AIS). Individual WMH volume was automatically derived from fluid-attenuated inversion recovery images. Stroke lesions were automatically segmented from diffusion-weighted imaging (DWI) images, parcellated into atlas-defined brain regions and further condensed to 10 lesion patterns via machine learning-based dimensionality reduction. Stroke lesion effects on AIS severity and unfavorable outcomes (mRS score >2) were modeled within purpose-built Bayesian linear and logistic regression frameworks. Interaction effects between stroke lesions and a high vs low WMH burden were integrated via hierarchical model structures. Models were adjusted for age, age2, sex, total DWI lesion and WMH volumes, and comorbidities. Data were split into derivation and validation cohorts. RESULTS: A total of 928 patients with AIS contributed to acute stroke severity analyses (age: 64.8 [14.5] years, 40% women) and 698 patients to long-term functional outcome analyses (age: 65.9 [14.7] years, 41% women). Stroke severity was mainly explained by lesions focused on bilateral subcortical and left hemispherically pronounced cortical regions across patients with both a high and low WMH burden. Lesions centered on left-hemispheric insular, opercular, and inferior frontal regions and lesions affecting right-hemispheric temporoparietal regions had more pronounced effects on stroke severity in case of high compared with low WMH burden. Unfavorable outcomes were predominantly explained by lesions in bilateral subcortical regions. In difference to the lesion location-specific

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1382604276
Document Type :
Electronic Resource