Orbital CT deep learning models in thyroid eye disease rival medical specialists' performance in optic neuropathy prediction in a quaternary referral center and revealed impact of the bony walls.

Journal: Orbit (Amsterdam, Netherlands)
Published Date: Jul 1, 2025

Abstract

PURPOSE: To develop and evaluate orbital CT deep learning (DL) models in optic neuropathy (ON) prediction in patients diagnosed with thyroid eye disease (TED), using partial versus entire 2D versus 3D images for input.

Authors

  • Si Wei Kheok
    Department of Neuroradiology, Singapore General Hospital, Singapore, Singapore.
  • Guoyu Hu
    School of Computing, National University of Singapore, Singapore, Singapore.
  • Ming-Han Hugo Lee
    Oculoplastic Department, Sydney Eye Hospital, Sydney, SW, Australia.
  • Chen Pong Wong
    Department of Neuroradiology, Singapore General Hospital, Singapore, Singapore.
  • Kaiping Zheng
    School of Computing, National University of Singapore, Singapore, Singapore.
  • Hla M Htoon
    Data Science, Singapore Eye Research Institute, Singapore, Singapore.
  • Zhu Lei
    A*Star, Institute of High Performance Computing (IHPC), Singapore, Singapore.
  • Alexander Sheng Ming Tan
    Department of Vascular and Interventional Radiology, Singapore General Hospital, Singapore; Radiological Sciences Academic Clinical Program, SingHealth-Duke-NUS Academic Medical Centre, Singapore.
  • Ling Ling Chan
    Department of Neuroradiology, Singapore General Hospital, Singapore, Singapore.
  • Beng Chin Ooi
    School of Computing, National University of Singapore, Singapore, Singapore.
  • Lay Leng Seah
    Department of Oculoplastic Surgery, Singapore National Eye Centre, Singapore, Singapore.

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