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Dataset Information

Cerebrospinal fluid-based clinical-radiomics model for predicting treatment prognosis of acute ischemic stroke.


ABSTRACT:

Background

Early alterations in cerebrospinal fluid (CSF) may play a critical role in the progression of acute ischemic stroke (AIS). This study aimed to develop a CSF-based clinical-radiomics model for predicting the functional outcomes in AIS patients following intravenous thrombolysis (IVT).

Methods

This study included 308 AIS patients within 6 h of onset, divided into a training set (n=246) and a hold-out test set (n=62). Functional outcome was assessed at discharge using the modified Rankin Scale (mRS), dichotomized into good (mRS ≤2) and poor (mRS >2) outcomes. CSF regions were automatically segmented on non-contrast computed tomography images, and radiomics features were extracted. After feature selection was sequentially performed using minimum redundancy maximum rel

SUBMITTER: Li F 

PROVIDER: S-EPMC12682513 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature