Radiomics-based machine learning model to phenotype hip involvement in ankylosing spondylitis: a pilot study.

Journal: Frontiers in immunology
PMID: 39267765

Abstract

OBJECTIVES: Hip involvement is an important reason of disability in patients with ankylosing spondylitis (AS). Unveiling the potential phenotype of hip involvement in AS remains an unmet need to understand its biological mechanisms and improve clinical decision-making. Radiomics, a promising quantitative image analysis method that had been successfully used to describe the phenotype of a wide variety of diseases, while it was less reported in AS. The objective of this study was to investigate the feasibility of radiomics-based approach to profile hip involvement in AS.

Authors

  • Zhengyuan Hu
    Department of Rheumatology and Immunology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
  • Yan Wang
    College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China.
  • Xiaojian Ji
    Department of Rheumatology and Immunology, the First Medical Center, Chinese PLA General Hospital, Beijing, 100853.
  • Bo Xu
    State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
  • Yan Li
    Interdisciplinary Research Center for Biology and Chemistry, Liaoning Normal University, Dalian, China.
  • Jie Zhang
    College of Physical Education and Health, Linyi University, Linyi, Shandong, China.
  • Xingkang Liu
    Department of Rheumatology and Immunology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
  • Kunpeng Li
  • Jianglin Zhang
    Department of Detmatology, The Second Clinical Medical College, Shenzhen Peoples Hospital, Jinan University. The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, 518020, Guangdong, China.
  • Jian Zhu
  • Xin Lou
    College of Pharmacy, Henan University of Chinese Medicine, Zhengzhou 450046, China.
  • Feng Huang
    Beijing Hospital of TCM, Capital Medical University, Beijing 100010, China; Institution of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing 100700.

Keywords

External Resources

Popular Topics
Recent Journals