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一款利用足球脚背踢球动作分析来筛查胫骨结节骨软骨炎的视频应用程序。

A Video App for Screening Osgood-Schlatter Disease Using Soccer Instep Kicking Motion Analysis.

作者信息

Fukuoka Tatsuo, Ikubo Fumiya, Ono Kentaro, Iwamoto Naoya, Misaki Yukinori, Kashihara Yuto, Yamada Hitoshi, Yamaguchi Konosuke, Hirose Tomohiko, Ishikawa Masakazu

机构信息

Department of Orthopaedic Surgery, Kagawa Saiseikai Hospital, Takamatsu, JPN.

Department of Rehabilitation Medicine, Faculty of Medicine, Kagawa University, Takamatsu, JPN.

出版信息

Cureus. 2024 Jun 25;16(6):e63112. doi: 10.7759/cureus.63112. eCollection 2024 Jun.

Abstract

BACKGROUND

Osgood-Schlatter disease (OSD) is a type of osteochondrosis and traction apophysitis that results from repeated contractions of the quadriceps femoris muscle on the tibial tuberosity. Its prevention, early diagnosis, and treatment are crucial because it causes chronic knee pain and surgical approaches are required if left untreated. Three-dimensional motion analysis is a useful approach for elucidating the pathological factors of OSD; however, it requires advanced cameras, sophisticated facilities, and expensive software. Conversely, the advent of technology has provided affordable video recording devices, and smartphone/tablet-based applications have enabled two-dimensional (2D) motion analysis. This emerging tool and artificial intelligence technology were used to analyze the pivot leg from videos recorded on a tablet device during the instep kicks of adolescent soccer players. Therefore, in this study, we aimed to determine whether the pathological factors for OSD occurring in the pivot foot can be identified through a simple 2D motion analysis using a tablet device.

METHODS

In total, 94 knees of 47 soccer players (aged 14.1±0.8 years, all male) who belong to a single soccer club were evaluated. OSD was diagnosed using ultrasonography and physical examination (a positive bone fragment on ultrasonography or tenderness at the tibial tuberosity). Lower limb muscle tightness was evaluated using the finger-floor distance, straight leg raising test, heel-buttock distance, Thomas test, and ankle range of motion using a goniometer. We then performed motion analysis, and the instep kicking motion was recorded using a video camera on a tablet device. The joint angles of the hip, knee, and ankle were measured using a real-time human-pose detection system. Data were compared between the OSD and non-OSD groups.

RESULTS

Overall, six of the 47 players (12.8%) were diagnosed with OSD. No correlation was found between lower limb tightness and the occurrence of OSD in all indices. However, the 2D motion analysis revealed that the knee flexion angle at the time of plantar placement during the instep kick movement was significantly larger in the OSD group than in the non-OSD group (OSD group: 42.0±7.2˚, non-OSD group: 33.5±6.6˚, *p=0.013).

CONCLUSION

A video motion analysis revealed that the knee flexion angle during the instep kicking motion was significantly greater in athletes with OSD of the supporting foot.

摘要

背景

奥斯古德-施拉特病(OSD)是一种骨软骨病和牵引性骨骺炎,由股四头肌反复收缩作用于胫骨结节引起。其预防、早期诊断和治疗至关重要,因为它会导致慢性膝关节疼痛,若不治疗则需要手术治疗。三维运动分析是阐明OSD病理因素的有用方法;然而,它需要先进的摄像头、精密的设备和昂贵的软件。相反,技术的发展提供了价格实惠的视频录制设备,基于智能手机/平板电脑的应用程序实现了二维(2D)运动分析。本研究使用这种新兴工具和人工智能技术,对青少年足球运动员脚背踢球时在平板电脑上录制的视频中的支撑腿进行分析。因此,在本研究中,我们旨在确定是否可以通过使用平板电脑设备进行简单的二维运动分析来识别支撑脚中发生OSD的病理因素。

方法

对来自单个足球俱乐部的47名足球运动员(年龄14.1±0.8岁,均为男性)的94个膝关节进行了评估。通过超声检查和体格检查(超声检查显示阳性骨碎片或胫骨结节压痛)诊断OSD。使用手指-地面距离、直腿抬高试验、足跟-臀部距离、托马斯试验以及使用角度计测量的踝关节活动范围来评估下肢肌肉紧张度。然后进行运动分析,使用平板电脑上的摄像机记录脚背踢球动作。使用实时人体姿势检测系统测量髋、膝和踝关节的关节角度。比较OSD组和非OSD组的数据。

结果

总体而言,47名运动员中有6名(12.8%)被诊断为OSD。在所有指标中,下肢紧张度与OSD的发生之间均未发现相关性。然而,二维运动分析显示,在脚背踢球动作中足底着地时,OSD组的膝关节屈曲角度明显大于非OSD组(OSD组:42.0±7.2˚,非OSD组:33.5±6.6˚,*p=0.013)。

结论

视频运动分析显示,支撑脚患有OSD的运动员在脚背踢球动作中的膝关节屈曲角度明显更大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5633/11271314/52e6ded1b133/cureus-0016-00000063112-i01.jpg

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