Individualized structural network deviations predict surgical outcome in mesial temporal lobe epilepsy: a multicentre validation study.

Journal: International journal of surgery (London, England)
Published Date: Jul 2, 2025

Abstract

BACKGROUND: Surgical resection is an effective treatment for medically refractory mesial temporal lobe epilepsy (mTLE), however, more than one-third of patients fail to achieve seizure freedom after surgery. This study aimed to evaluate preoperative individual morphometric network characteristics and develop a machine learning model to predict surgical outcome in mTLE.

Authors

  • Li Feng
    Department of Radiation Oncology, China-Japan Union Hospital of Jilin University, Changchun, China.
  • Honghao Han
    The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, P.R. China.
  • Jiajie Mo
    Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Yongwen Huang
    The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, P.R. China.
  • Kailing Huang
    Department of Neurology, Xiangya Hospital, Central South University, Changsha, P.R. China.
  • Chunyao Zhou
    Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
  • Xuyang Wang
    School of Computer and Communication of the Lanzhou University of Technology, Lanzhou City, Gansu Province, China.
  • Junquan Zhang
    The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, P.R. China.
  • Zhiquan Yang
    Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, P.R. China.
  • Dingyang Liu
    Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, P.R. China.
  • Kai Zhang
    Anhui Province Key Laboratory of Respiratory Tumor and Infectious Disease, First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
  • Huafu Chen
    Key laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology and Center for Information in BioMedicine, University of Electronic Science and Technology of China, Chengdu 610054, PR China. Electronic address: chenhf@uestc.edu.cn.
  • Qiangqiang Liu
    Department of Neurosurgery, Clinical Neuroscience Center Comprehensive Epilepsy Unit, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Rong Li
    Department of Neurology, People's Hospital of Longhua, Shenzhen, China.

Keywords

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