Interpretable machine learning and radiomics in hip MRI diagnostics: comparing ONFH and OA predictions to experts.

Journal: Frontiers in immunology
PMID: 39944691

Abstract

PURPOSE: Distinguishing between Osteonecrosis of the femoral head (ONFH) and Osteoarthritis (OA) can be subjective and vary between users with different backgrounds and expertise. This study aimed to construct and evaluate several Radiomics-based machine learning models using MRI to differentiate between those two disorders and compare their efficacies to those of medical experts.

Authors

  • Tariq Alkhatatbeh
    Comprehensive Orthopedic Surgery Department, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
  • Ahmad Alkhatatbeh
    Department of Orthopedics, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
  • Qin Guo
    Comprehensive Orthopedic Surgery Department, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
  • Jiechen Chen
    Department of Orthopedics, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
  • Jidong Song
    Orthopedic Department, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
  • Xingru Qin
    Department of Radiology, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
  • Wang Wei
    School of Mechatronic Engineering and Automation, Shanghai University, 99 Shangda Road, BaoShan District, Shanghai 200444, China.

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