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Journal article

CT perfusion for lesion-symptom mapping in large vessel occlusion ischemic stroke

Abstract:
Background: Identifying eloquent regions associated with poor outcomes based on CT perfusion (CTP) may help inform personalized decisions on selection for endovascular therapy (EVT) in patients with large vessel occlusion (LVO) ischemic stroke. This study aimed to characterize the relationship between CTP-defined hypoperfusion and National Institutes of Health Stroke Scale (NIHSS) subitem deficits. Methods: Patients with anterior circulation LVO, baseline CTP, itemized NIHSS at presentation and 24 hours were included. CTP was analyzed using e-CTP (Brainomix, UK). Time to maximal contrast (Tmax) prolongation was defined as >6 s, and penumbra as the difference between Tmax and ischemic core (relative cerebral blood flow<30%). Voxel-lesion-symptom mapping was performed using sparse canonical correlation analysis. For each NIHSS subitem, and total NIHSS, the associations were plotted between Tmax voxels with baseline NIHSS, and penumbra voxels with delta NIHSS (24 hours minus baseline). Results: This study included 171 patients. Total NIHSS was predicted by hypoperfusion in left frontal cortex and subcortical white matter tracts. Voxels associated with neurological recovery were symmetrical and subcortical. Limb deficits were associated with respective motor cortex regions and descending motor tracts, with negative correlation within the contralateral hemispheres. A similar but smaller cluster of voxels within the penumbra was associated with NIHSS improvement. Language impairment correlated with left frontal cortex and superior temporal gyrus voxels. With the exception of dysarthria, significant associations were observed and more diffusely distributed in all other NIHSS subitems. Conclusions: These results demonstrate the feasibility of hypoperfusion-to-symptom mapping in LVO. Symptom-based mapping from presenting imaging could refine treatment decisions targeting specific neurological deficits.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1136/jnis-2024-022501

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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0003-2771-0099
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0003-2177-2387
More by this author
Institution:
University of Oxford
Role:
Author
More by this author
Role:
Author
ORCID:
0000-0002-1217-648X


Publisher:
BMJ Publishing Group
Journal:
Journal of NeuroInterventional Surgery More from this journal
Article number:
jnis-2024-022501
Publication date:
2024-12-18
Acceptance date:
2024-11-24
DOI:
EISSN:
1759-8486
ISSN:
1759-8478


Language:
English
Keywords:
Source identifiers:
2539042
Deposit date:
2024-12-31
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