Predicting long-term outcomes for acute ischemic stroke using multi-model MRI radiomics and clinical variables

Predicting long-term outcomes for acute ischemic stroke using multi-model MRI radiomics and clinical variables

PurposeThe objective of this study was to create and validate a novel prediction model that incorporated both multi-modal radiomics features and multi-clinical features, with the aim of accurately identifying acute ischemic stroke (AIS) patients who faced a higher risk of poor outcomes.MethodsA coho...

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Bibliographic Details
Main Authors: Lai Wei, Xianpan Pan, Wei Deng, Lei Chen, Qian Xi, Ming Liu, Huali Xu, Jing Liu, Peijun Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Medicine
Subjects:
acute ischemic stroke (AIS)
prognosis
radiomics
diffusion-weighted imaging (DWI)
apparent diffusion coefficient (ADC)
machine learning (ML)
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2024.1328073/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2024.1328073/full

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