ArticleBrain and behavior2023
Tmax volume can predict clinical type in patients with acute ischemic stroke.
Article in Brain and behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Quantitative imaging outperforms No-reflow in predicting functional outcomes in a translational stroke model.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025Article
- Balloon angioplasty as first-choice recanalization strategy for intracranial atherosclerosis-related emergent large vessel occlusion with small clot burden.Neuroradiology · 2024Article
- Tmax volume can predict clinical type in patients with acute ischemic stroke.Brain and behavior · 2023Article
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Authors and funding
7 authors.
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Abstract
objectiveEndovascular therapy (EVT) is performed for acute ischemic stroke (AIS) with large vessel occlusion (LVO), however, the treatment strategies and clinical outcomes differ between cardiac embolism (CE) and intracranial arteriosclerosis-derived LVO (ICAS-LVO). We analyzed whether the time-to-max (Tmax) volume derived from perfusion imaging predicted clinical classification in AIS patients before EVT.
methodsConsecutive AIS patients with anterior circulation LVO evaluated by automated imaging software were retrospectively identified. Patients were classified into a CE group and an ICAS-LVO group, and parameters were compared between groups.
resultsThirty-nine patients were included and Tmax volume and Tmax > 6 s volume/Tmax > 4 s volume were significantly greater in the CE group than in the ICAS-LVO group (Tmax > 4 s volume: 261 mL vs. 149 mL, p = .01, Tmax > 6 s volume: 143 mL vs. 59 mL, p = .001, Tmax > 6 s volume/Tmax > 4 s volume: 0.59 vs. 0.40, p < .001). Multiple logistic regression analysis indicated an association between clinical classification and high Tmax > 6 s volume/Tmax > 4 s volume (p = .04).
conclusionThe Tmax volume derived from perfusion imaging predicts the clinical classification of AIS patients before EVT.
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