Subtype identification of clinical and thrombus imaging features in acute ischemic stroke: using clustering analysis and principal component analysis.

ABSTRACT: Acute ischemic stroke (AIS) presents significant heterogeneity in clinical and thrombus imaging characteristics, which can profoundly impact therapeutic decisions and outcomes. This study analyzed 520 AIS patients who underwent endovascular thrombectomy, integrating clinical variables and thrombus imaging features to identify potential subtypes through unsupervised clustering and principal component analysis. Three distinct subtypes emerged: Cluster 1, characterized by middle cerebral artery occlusion, shorter thrombus lengths, and favorable outcomes; Cluster 2, comprising predominantly male smokers and drinkers with no significant outcome differences; and Cluster 3, consisting of older patients with higher stroke severity, internal carotid artery occlusion, longer thrombus lengths, and po

SUBMITTER: Wu W 

PROVIDER: S-EPMC12222443 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature