[1]张子砚,曾红,许苑晶,等.膝关节生物力学标志物预测膝关节炎研究进展[J].中华老年骨科与康复电子杂志,2023,(05):315-320.[doi:10.3877/cma.j.issn.2096-0263.2023.05.010]
　Zhang Ziyan,Zeng Hong,Xu Yuanjing,et al.A review of biomechanical markers of knee predicting the progression of knee osteoarthritis[J].Chin J Geriatr Orthop Rehabil(Electronic Edition),2023,(05):315-320.[doi:10.3877/cma.j.issn.2096-0263.2023.05.010]
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膝关节生物力学标志物预测膝关节炎研究进展()
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中华老年骨科与康复电子杂志[ISSN:1674-3911/CN:11-9292/R]

卷:
期数:
2023年05期
页码:
315-320
栏目:
综述
出版日期:
2023-10-05

文章信息/Info

Title:
A review of biomechanical markers of knee predicting the progression of knee osteoarthritis
作者:
张子砚1; 2; 曾红3; 许苑晶4; 郭璐琦2; 王金武1; 4; 王少白2; 任富超5; 缪伟强1; 戴尅戎1; 王茹2
200011 上海交通大学医学院附属第九人民医院骨科，上海市骨科植入物重点实验室1；200438 上海体育学院“运动健身科技”省部共建教育部重点实验室2；200011 上海交通大学医学院附属第九人民医院康复医学科3； 200240 上海交通大学生物医学工程学院4；261053 潍坊医学院康复医学院5
Author(s):
Zhang Ziyan1; 2;  Zeng Hong3;  Xu Yuanjing4;  Guo Luqi2;  Wang Jinwu1;  4;  Wang Shaobai2;  Ren Fuchao5;  Miao Weiqiang1;  Dai Kerong1;  Wang Ru2.
1Department of Orthopedics, Shanghai Key Laboratory of Orthopedic Implant, Ninth People’ s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China; 2Shanghai University of Sport, Key Laboratory of Exercise and Health Sciences of Ministry of Education, Shanghai 200438, China; 3Department of Rehabilitation, Ninth People’s Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200011, China; 4School of Biomedical Engineering, Shanghai Jiaotong University,Shanghai 200240, China; 5Weifang Medical College, School of Rehabilitation Medicine, Weifang 261053, China
关键词:
膝关节炎;  生物力学;  X线;  运动学
Keywords:
Knee Osteoarthritis;  Biomechanics;  X ray;  Kinematics
DOI:
10.3877/cma.j.issn.2096-0263.2023.05.010
文献标志码:
A
摘要:
膝关节炎是影响老年人活动与参与的常见疾病，目前临床上对其诊断与随访主要依赖X线和Kellgren/Lawrence（K/L）分级，缺少生物力学维度的随访与科研，较难预测膝关节炎的进展和功能改变。本文通过综述基于X线距离和角度测量、基于X线图像处理和基于生物力学参数的各生物力学标志物对膝关节炎进展预测的贡献，说明生物力学标志物对预测膝关节炎进展的有效性和当前的局限性，为进一步进行相关研究提供帮助。
Abstract:
Knee osteoarthritis is a common disease that affects the activities and participation of the elderly. At present, its clinical diagnosis and follow-up mainly rely on X-ray and Kellgren/Lawrence (K/L) grade, and lack of follow-up and scientific research of biomechanical dimensions, which is difficult to predict the progression and functional changes of knee osteoarthritis. The paper reviewed contribution of the distance and angle measurement based on X -ray, X-ray image processing and the biomechanical markers based on biomechanical parameters for prediction of knee osteoarthritis progress. To show the biomechanical markers’ effectiveness and limitations to predict knee osteoarthritis progress and effectiveness of the current limitations and help for further research.

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备注/Memo

备注/Memo:
基金项目：国家科技部重点研发计划项目（No.2020YFB1711500）；国家自然科学基金（No.82072412）；上海市科委项目（No.19441917500）；上海市科委项目（No.19441908700）；上海交通大学医学院附属第九人民医院临床研究型MDT项目（No.201914）
更新日期/Last Update: 2023-10-25