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肩部不稳定的创新诊断框架:关于机器学习增强的肩胛运动障碍评估在运动损伤中的叙述性综述。

Innovative diagnostic framework for shoulder instability: a narrative review on machine learning-enhanced scapular dyskinesis assessment in sports injuries.

作者信息

Fu Yahui, Ma Shuai, Ma Benxu, Han Meng, Zhao Dongxue, Li Ziteng

机构信息

Department of Physiotherapy, Tengzhou Central People's Hospital, Xingtan Road 118, Zaozhuang, 277599, Shandong Province, China.

Department of Acupuncture-Moxibustion, Qingdao Central Hospital, University of Health and Rehabilitation Sciences (Qingdao Central Hospital), Qingdao, 266042, China.

出版信息

Eur J Med Res. 2025 Apr 9;30(1):257. doi: 10.1186/s40001-025-02507-5.

DOI:10.1186/s40001-025-02507-5
PMID:40205486
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11980169/
Abstract

A common shoulder problem that significantly detracts from patients' quality of life is shoulder instability (SI). Abnormal scapular positioning and movement are closely associated with rotator cuff injuries and SI, as shown by several studies. The aetiology of scapular dyskinesia (SD) adversely affects shoulder stability and function, including postural abnormalities, musculoskeletal problems, and neurological conditions. Presently, there is a paucity of studies on scapular kinetic alterations in SI rehabilitation. This paper rigorously examines the correlation between SI and scapular kinetic irregularities, as well as the functional alterations of periscapular muscle groups, offering a thorough theoretical foundation and practical guidance for clinicians to enhance their understanding of the disease mechanism and develop a more holistic and effective treatment for patients with SI. We examined the particular manifestations of scapular kinetic disorders in SI patients, evaluated current clinical assessment tools, and explored novel strategies (machine learning, kinetic chain, and scapular biomechanics) for prospective clinical applications. Our objective is to furnish a thorough theoretical foundation and practical guidance for rehabilitating patients with SI, thereby enhancing clinicians' comprehension of the disease mechanism and enabling the development of more effective rehabilitation programs.

摘要

一种严重影响患者生活质量的常见肩部问题是肩关节不稳定(SI)。多项研究表明,肩胛骨位置和运动异常与肩袖损伤及肩关节不稳定密切相关。肩胛运动障碍(SD)的病因会对肩部稳定性和功能产生不利影响,包括姿势异常、肌肉骨骼问题和神经疾病。目前,关于SI康复中肩胛动力学改变的研究较少。本文深入探讨了SI与肩胛动力学异常之间的相关性,以及肩胛周围肌群的功能改变,为临床医生增强对疾病机制的理解并为SI患者制定更全面有效的治疗方案提供了坚实的理论基础和实践指导。我们研究了SI患者肩胛动力学障碍的具体表现,评估了当前的临床评估工具,并探索了适用于未来临床应用的新策略(机器学习、动力链和肩胛生物力学)。我们的目标是为SI患者的康复提供全面的理论基础和实践指导,从而加深临床医生对疾病机制的理解,并制定更有效的康复计划。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c48/11980169/f7de6e711f85/40001_2025_2507_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c48/11980169/94f52c6772a8/40001_2025_2507_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c48/11980169/ddb1da97ffad/40001_2025_2507_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c48/11980169/f7de6e711f85/40001_2025_2507_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c48/11980169/94f52c6772a8/40001_2025_2507_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c48/11980169/ddb1da97ffad/40001_2025_2507_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c48/11980169/f7de6e711f85/40001_2025_2507_Fig3_HTML.jpg

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