Home    中文  
 
  • Search
  • lucene Search
  • Citation
  • Fig/Tab
  • Adv Search
Just Accepted  |  Current Issue  |  Archive  |  Featured Articles  |  Most Read  |  Most Download  |  Most Cited

Chinese Journal of Joint Surgery(Electronic Edition) ›› 2024, Vol. 18 ›› Issue (04): 545-552. doi: 10.3877/cma.j.issn.1674-134X.2024.04.015

• REVIEW • Previous Articles    

Research progress on semi-quantitative MRI assessment of knee osteoarthritis

Ruoyu Zhuang1, Minghui Hang2, Wenhua Li2, Ting Zhang2, Wei Hou2,()   

  1. 1. School of Acupuncture-Moxibustion and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
    2. Longhua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
  • Received:2024-06-07 Online:2024-08-01 Published:2024-09-14
  • Contact: Wei Hou

Abstract:

Semi-quantitative magnetic resonance imaging (MRI) assessment forms a key part of MRI imaging evaluation of knee osteoarthritis (KOA). Several generalized knee scoring systems have been developed, including the Whole Organ Magnetic Resonance Imaging Score (WORMS) and the MRI Osteoarthritis Knee Score (MOAKS), and systems for synovitis or specific conditions. Observational studies and clinical trials have shown that semi-quantitative MRI assessment contributes to the understanding of the natural history of disease and plays an increasing role in early diagnosis, efficacy assessment, eligibility screening and safety evaluation. Artificial intelligence can further improve its performance in the fields of image processing, phenotypic categorization, and risk prediction.

Key words: Osteoarthritis, knee, Magnetic resonance imaging, Patient outcome assessment

京ICP 备07035254号-20
Copyright © Chinese Journal of Joint Surgery(Electronic Edition), All Rights Reserved.
Tel: 020-83189181,020-83062381 E-mail: cjojs1@126.com
Powered by Beijing Magtech Co. Ltd