Multimodal MRI radiomics enhances epilepsy prediction in pediatric low-grade glioma patients.

Journal: Journal of neuro-oncology
Published Date: May 22, 2025

Abstract

BACKGROUND: Determining whether pediatric patients with low-grade gliomas (pLGGs) have tumor-related epilepsy (GAE) is a crucial aspect of preoperative evaluation. Therefore, we aim to propose an innovative, machine learning- and deep learning-based framework for the rapid and non-invasive preoperative assessment of GAE in pediatric patients using magnetic resonance imaging (MRI).

Authors

  • Tianyou Tang
    Department of Neurosurgery Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China.
  • Yuxin Wu
  • Xinyu Dong
    Stony Brook University, Stony Brook, NY.
  • Xuan Zhai
    Department of Pharmacy, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, China.

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