Deep learning-based diagnosis of temporal lobe epilepsy associated with hippocampal sclerosis: An MRI study.

Journal: Epilepsy research
PMID: 34837826

Abstract

PURPOSE: The currently available indicators-sensitivity and specificity of expert radiological evaluation of MRIs-to identify mesial temporal lobe epilepsy (MTLE) associated with hippocampal sclerosis (HS) are deficient, as they cannot be easily assessed. We developed and investigated the use of a novel convolutional neural network trained on preoperative MRIs to aid diagnosis of these conditions.

Authors

  • Yosuke Ito
    Department of Functional Neurosurgery, Epilepsy Center, NHO Nishiniigata Chuo Hospital, Japan. Electronic address: y0226@kc4.so-net.ne.jp.
  • Masafumi Fukuda
    Department of Neurosurgery, Brain Research Institute, University of Niigata, Niigata, Japan; Department of Neurosurgery, Epilepsy Center, Nishi-Niigata Chuo National Hospital, Niigata, Japan.
  • Hitoshi Matsuzawa
    Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, 1-757 Asahimachi, Niigata, 951-8585, Japan.
  • Hiroshi Masuda
    Department of Functional Neurosurgery, Epilepsy Center, NHO Nishiniigata Chuo Hospital, Japan.
  • Yu Kobayashi
    Department of Child Neurology, Epilepsy Center, NHO Nishiniigata Chuo Hospital, Japan.
  • Naoya Hasegawa
    Department of Epilepsy, Epilepsy Center, NHO Nishiniigata Chuo Hospital, Japan.
  • Hiroki Kitaura
    Department of Pathology, Brain Research Institute, Niigata University, Japan.
  • Akiyoshi Kakita
    Department of Pathology, Brain Research Institute, Niigata University, Japan.
  • Yukihiko Fujii
    Department of Neurosurgery, Brain Research Institute, University of Niigata, Niigata, Japan. Electronic address: yfujii@bri.niigata-u.ac.jp.

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