Predicting knee osteoarthritis progression using neural network with longitudinal MRI radiomics, and biochemical biomarkers: A modeling study.

Journal: PLoS medicine
Published Date:

Abstract

BACKGROUND: Knee osteoarthritis (KOA) worsens both structurally and symptomatically, yet no model predicts KOA progression using Magnetic Resonance Image (MRI) radiomics and biomarkers. This study aimed to develop and test the longitudinal Load-Bearing Tissue Radiomic plus Biochemical biomarker and Clinical variable Model (LBTRBC-M) to predict KOA progression.

Authors

  • Ting Wang
    CAS Key Laboratory of Separation Sciences for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
  • Hao Liu
    Key Laboratory of Development and Maternal and Child Diseases of Sichuan Province, Department of Pediatrics, Sichuan University, Chengdu, China.
  • Wenbo Zhao
    Department of Orthopaedics, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University & The Second Affiliated Hospital of Chengdu, Chongqing Medical University, Chengdu, Sichuan, China.
  • Peihua Cao
    Zhujiang Hospital of Southern Medical University, Guangzhou, China.
  • Jia Li
    Zhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan Tsuihang New District, Guangdong, 528400, PR China; School of Pharmacy, Zunyi Medical University, Zunyi, 563000, PR China; National Center for Drug Screening, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, PR China.
  • Tianyu Chen
    School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, 639798, Singapore.
  • Guangfeng Ruan
    Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
  • Yan Zhang
    Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, 110032, China.
  • Xiaoshuai Wang
    Department of Bone Tumor Surgery, Orthopedics Center, the First Affiliated Hospital of Xinjiang Medical University, Urumchi Xinjiang, 830054, P.R.China.
  • Qin Dang
    Department of Colorectal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
  • Mengdi Zhang
    State Key Laboratory of Chemical Resource Engineering, Department of Pharmaceutical Engineering, P. O. Box 53, Beijing University of Chemical Technology, 15 BeiSanHuan East Road, Beijing 100029, P. R. China.
  • Alexander Tack
    Therapy Planning Group, Zuse Institute Berlin, Berlin, Germany. Electronic address: tack@zib.de.
  • David Hunter
    Clinical Research Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
  • Changhai Ding
    Zhujiang Hospital of Southern Medical University; Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China; and University of Tasmania, Hobart, Tasmania, Australia.
  • Shengfa Li
    Zhujiang Hospital of Southern Medical University, Guangzhou, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, The Second Affiliated Chengdu Hospital of Chongqing Medical University, Chengdu, China.