Predicting transient ischemic attack risk in patients with mild carotid stenosis using machine learning and CT radiomics

Predicting transient ischemic attack risk in patients with mild carotid stenosis using machine learning and CT radiomics

ObjectiveThis study aims to establish a radiomics-based machine learning model that predicts the risk of transient ischemic attack in patients with mild carotid stenosis (30–50% North American Symptomatic Carotid Endarterectomy Trial) using extracted computed tomography radiomics features and clinic...

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Bibliographic Details
Main Authors: Hai Xia, Lei Yuan, Wei Zhao, Chenglei Zhang, Lingfeng Zhao, Jialin Hou, Yancheng Luan, Yuxin Bi, Yaoyu Feng
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Neurology
Subjects:
CT angiography
carotid artery
machine learning
prediction model
transient ischemic attack
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2023.1105616/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2023.1105616/full

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