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

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 t...

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Bibliographic Details
Main Authors: Wenjuan Wu, Yue Cheng, Long Chen, Qingyue Fu, Jingxuan Jiang, Lei Zhang, Ximing Wang
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Acute ischemic stroke (AIS)
Thrombus imaging characteristics
Unsupervised clustering
Principal component analysis (PCA)
Endovascular mechanical thrombectomy (EVT)
Online Access:https://doi.org/10.1038/s41598-025-05120-y
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https://doi.org/10.1038/s41598-025-05120-y

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