Predicting the Type of Tumor-Related Epilepsy in Patients With Low-Grade Gliomas: A Radiomics Study

Predicting the Type of Tumor-Related Epilepsy in Patients With Low-Grade Gliomas: A Radiomics Study

Purpose: The majority of patients with low-grade gliomas (LGGs) experience tumor-related epilepsy during the disease course. Our study aimed to build a radiomic prediction model for LGG-related epilepsy type based on magnetic resonance imaging (MRI) data.Methods: A total of 205 cases with LGG-relate...

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Bibliographic Details
Main Authors: Yinyan Wang, Wei Wei, Zhenyu Liu, Yuchao Liang, Xing Liu, Yiming Li, Zhenchao Tang, Tao Jiang, Jie Tian
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-03-01
Series:Frontiers in Oncology
Subjects:
epilepsy type
low-grade gliomas
machine learning
radiomics
T2-weighted imaging
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2020.00235/full

Internet

https://www.frontiersin.org/article/10.3389/fonc.2020.00235/full

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