Deep learning for automated segmentation of brain edema in meningioma after radiosurgery.

Journal: BMC medical imaging
PMID: 40264119

Abstract

BACKGROUND: Although gamma Knife radiosurgery (GKRS) is commonly used to treat benign brain tumors, such as meningioma, irradiating the surrounding brain tissue can lead to perifocal edema within a few months after the procedure. Volumetric assessment of perifocal edema is crucial for therapy planning and monitoring. Post-radiosurgery changes in perifocal edema, appearing as hyper-dense areas in magnetic resonance T2-weighted (T2w) images, are clearly identifiable; however, physicians lack tools to segment and quantify the volume of these T2w hyper-dense areas. This has hindered not only the quantification of severity but also research on edema growth and case differentiation.

Authors

  • Huai-Che Yang
    Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, National Yang-Ming University, Taipei, Taiwan.
  • Tzu-Chiang Peng
    School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
  • Zhi-Hong Chen
    Department of Electrical Engineering, National Central University, Taoyuan, Taiwan.
  • Cheng-Chia Lee
    Department of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, National Yang-Ming University, Taipei, Taiwan; Brain Research Center, National Yang-Ming University, Taipei, Taiwan.
  • Hsiu-Mei Wu
    Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, National Yang-Ming University, Taipei, Taiwan.
  • I-Chun Lai
    School of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Hsinchu, Taiwan.
  • Ching-Jen Chen
    Department of Neurological Surgery, University of Virginia Health System, Charlottesville, Virginia, USA.
  • 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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