Development and validation of a prognostic prediction model for lumbar-disc herniation based on machine learning and fusion of clinical text data and radiomic features.

Journal: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Published Date: Jun 30, 2025

Abstract

OBJECTIVE: Based on preoperative clinical text data and lumbar magnetic resonance imaging (MRI), we applied machine learning (ML) algorithms to construct a model that would predict early recurrence in lumbar-disc herniation (LDH) patients who underwent percutaneous endoscopic lumbar discectomy (PELD). We then explored the clinical performance of this prognostic prediction model via multimodal-data fusion.

Authors

  • Zhipeng Wang
    Department of Pharmacy, Changzheng Hospital, Second Military Medical University, Shanghai, 200003, PR China.
  • Hongwei Zhang
    Jiangsu Provincial Key Laboratory for TCM Evaluation and Translational Development, China Pharmaceutical University, Nanjing, Jiangsu 211198, China.
  • Yuanzhen Li
    From Google Health, Google, 3400 Hillview Ave, Palo Alto, CA 94304 (A.B.S., C.C., Z.N., Y. Liu, K.E., D.T., N.B., S.S.); Google Research, Cambridge, Mass (Y. Li, A.M., A.S., J.H., D.K.); Google via Advanced Clinical, Deerfield, Ill (C.L.); Apollo Radiology International, Hyderabad, India (S.R.K.); and Northwestern Medicine, Chicago, Ill (M.E., F.G.V., D.M.).
  • Xiaogang Zhang
    Department of Orthopedics, First Affiliated Hospital of Xinjiang Medical University, Urumqi Xinjiang, 830011, P.R.China.
  • Jianjun Liu
    Human Genetics, Genome Institute of Singapore, Singapore, Singapore. liuj3@gis.a-star.edu.sg.
  • Zhen Ren
    Division of Biochemical Toxicology, National Center for Toxicological Research, U.S. FDA, Jefferson, AR, 72079, USA. Electronic address: zhen.ren@fda.hhs.gov.
  • Daping Qin
    Department of Orthopaedics, Affiliated Hospital of Gansu University of Traditional Chinese Medicine, Lanzhou, China.
  • Xiyun Zhao
    Department of Orthopaedics, Affiliated Hospital of Gansu University of Traditional Chinese Medicine, Lanzhou, China. 327322495@qq.com.

Keywords

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