Integrating ocular and clinical features to enhance intravenous glucocorticoid response prediction in thyroid eye disease: a machine learning approach.

Journal: Endocrine
Published Date: Jun 23, 2025

Abstract

PURPOSES: Predicting intravenous glucocorticoid (IVGC) efficacy in thyroid eye disease (TED) is vital for personalized treatment and minimizing side effects. Current methods haven't fully utilized ocular features. This study aims to integrate ocular features into predictive model to assess their impact on improving IVGC efficacy prediction.

Authors

  • Chen Zhao
    Department of Ophthalmology, Fudan Eye & ENT Hospital, Shanghai, China.
  • Chaoyu Lei
    Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Shilong Pei
    State Key Laboratory of Eye Health, Department of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Yujie Ren
    State Key Laboratory of Eye Health, Department of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Xuran Duan
    State Key Laboratory of Eye Health, Department of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Songtao Guo
    State Key Laboratory of Eye Health, Department of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Xuefei Song
    Department of Ophthalmology, Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Hui Wang
    Department of Vascular Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
  • Huifang Zhou
    Department of Neurology, Xiangya Hospital, Central South University, Jiangxi, Nanchang, 330006, Jiangxi, China.

Keywords

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