Morphometric and radiomics analysis toward the prediction of epilepsy associated with supratentorial low-grade glioma in children.

Journal: Cancer imaging : the official publication of the International Cancer Imaging Society
Published Date: May 19, 2025

Abstract

OBJECTIVES: Understanding the impact of epilepsy on pediatric brain tumors is crucial to diagnostic precision and optimal treatment selection. This study investigated MRI radiomics features, tumor location, voxel-based morphometry (VBM) for gray matter density, and tumor volumetry to differentiate between children with low grade glioma (LGG)-associated epilepsies and those without, and further identified key radiomics features for predicting of epilepsy risk in children with supratentorial LGG to construct an epilepsy prediction model.

Authors

  • Min-Lan Tsai
    Department of Pediatrics, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan.
  • Kevin Li-Chun Hsieh
    Department of Medical Imaging, Taipei Medical University Hospital, No.250, Wu Hsing Street, Taipei, Taiwan.
  • Yen-Lin Liu
    Department of Pediatrics, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan.
  • Yi-Shan Yang
    Division of Pediatric Neurosurgery, Department of Neurosurgery, Taipei Medical University Hospital, Taipei, Taiwan.
  • Hsi Chang
    Department of Pediatrics, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan.
  • Tai-Tong Wong
    Division of Pediatric Neurosurgery, Department of Neurosurgery, Taipei Medical University Hospital, Taipei, Taiwan.
  • Syu-Jyun Peng
    Biomedical Electronics Translational Research Center, National Chiao Tung University, Hsin-Chu, Taiwan; Institute of Electronics, National Chiao Tung University, Hsin-Chu, Taiwan. Electronic address: blue.year@msa.hinet.net.

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