The application value of CT radiomics features in predicting pressure amplitude correlation index in patients with severe traumatic brain injury

The application value of CT radiomics features in predicting pressure amplitude correlation index in patients with severe traumatic brain injury

PurposeTo explore the application value of a machine learning model based on CT radiomics features in predicting the pressure amplitude correlation index (RAP) in patients with severe traumatic brain injury (sTBI).MethodsRetrospectively analyzed the clinical and imaging data in 36 patients with sTBI...

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Bibliographic Details
Main Authors: Jiaqi Liu, Yingchi Shan, Guoyi Gao
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Neurology
Subjects:
traumatic brain injuries
intracranial pressure
computed tomography
non-invasive evaluation
texture features
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2022.905655/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2022.905655/full

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