Abstract

Purpose

Aim of this study is to establish an objective and easily applicable method that will allow clinicians to quantitatively assess scapular dyskinesis during clinical examination using a computer tablet software. Hypothesis is that dyskinetic scapulae present greater motion—deviation from the thoracic wall—compared to the non-dyskinetic ones and that the software will be able to record those differences.

Methods

Twenty-five patients and 19 healthy individuals were clinically evaluated for the presence of dyskinesis or not. According to the clinical diagnosis, the observations were divided into three groups; A. Dyskinetic scapulae with symptoms (n = 25), B. Contralateral non-dyskinetic scapulae without symptoms (n = 25), C. Healthy control scapulae (n = 38). Then, all individuals were tested using a tablet with the PIVOT™ image-based analysis software (PIVOT, Impellia, Pittsburgh, PA, USA). The motion produced by the scapula medial border and inferior angle deviation from the thoracic wall was recorded.

Results

The deviation of the medial border and inferior angle of the scapula from the thoracic wall was 24.6 ± 7.3 mm in Group A, 14.7 ± 4.9 mm in Group B, and 12.4 ± 5.2 mm in Group C. The motion recorded in the dyskinetic scapulae group was significantly greater than both the contralateral non-dyskinetic scapulae group (p < 0.01) and the healthy control scapulae group (p < 0.01).

Conclusion

The PIVOT™ software was efficient to detect significant differences in the motion between dyskinetic and non-dyskinetic scapulae. This system can support the clinical diagnosis of dyskinesis with a numeric value, which not only contributes to scapula dyskinesis grading but also to the evaluation of the progress and efficacy of the applied treatment, thus providing a feedback to the clinician and the patient.

Level of evidence

IV, laboratory study.

中文翻译：

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平板电脑软件可以在肩assessment骨运动障碍的临床评估过程中量化肩cap骨内侧边界与胸壁的偏离

摘要

目的

这项研究的目的是建立一种客观且易于应用的方法，该方法将允许临床医生使用平板电脑软件在临床检查过程中定量评估肩cap运动障碍。假说是，与非运动障碍肩com骨相比，运动障碍肩present骨呈现出更大的运动（偏离胸壁），并且该软件将能够记录这些差异。

方法

临床评估了25位患者和19位健康个体是否存在运动障碍。根据临床诊断，将观察分为三组。A.有症状的运动障碍肩骨（n  = 25），B。没有症状的对侧非运动障碍性肩cap骨（n  = 25），C.健康对照肩cap骨（n  = 38）。然后，使用带有PIVOT™基于图像的分析软件（PIVOT，Impellia，匹兹堡，宾夕法尼亚州，美国）的平板电脑对所有个体进行测试。记录由肩cap骨内侧边界产生的运动以及与胸壁的下角度偏差。

结果

肩cap骨的内侧边界和下角与胸壁的偏差在A组中为24.6±7.3 mm，在B组中为14.7±4.9 mm，在C组中为12.4±5.2 mm。运动性肩recorded骨组记录了运动明显高于对侧非运动障碍性肩骨组（p  <0.01）和健康对照组的肩e骨组（p  <0.01）。

结论

PIVOT™软件有效地检测了运动障碍和非运动障碍肩骨之间运动的显着差异。该系统可以通过数值支持运动障碍的临床诊断，这不仅有助于肩骨运动障碍分级，而且还有助于评估所用治疗的进展和疗效，从而为临床医生和患者提供反馈。

证据水平

四，实验室研究。