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作为骨关节炎和肩袖病理诊断指标的临界肩角

The Critical Shoulder Angle as a Diagnostic Measure for Osteoarthritis and Rotator Cuff Pathology.

作者信息

Rose-Reneau Zak, Moorefield Amanda K, Schirmer Derek, Ismailov Eugene, Downing Rob, Wright Barth W

机构信息

Anatomy, Kansas City University of Medicine and Biosciences, Kansas City, USA.

Graduate Medical Education, University of Missouri-Kansas City (UMKC), Kansas City, USA.

出版信息

Cureus. 2020 Nov 11;12(11):e11447. doi: 10.7759/cureus.11447.

Abstract

The purpose of this study was to correlate critical shoulder angle (CSA), a measurement that takes into account both glenoid tilt and the acromial index (AI), with shoulder pathologies as presented in an earlier study by Moor et al. (2013). Based on Moor et al.'s predicted normal CSA range of 30-35°, we hypothesized that a greater-than-normal CSA would be correlated to or associated with rotator cuff pathology, while a smaller-than-normal CSA would be associated with osteoarthritis (OA). Following Moore et al., we utilized Grashey radiographic imaging because it provides the clearest view of the entire glenoid fossa and acromion. We analyzed 323 anterior-posterior (AP) radiographs to identify and measure the CSA, classifying each patient into one of five groups [none reported (n=94), mild OA (n=156), moderate OA (n=36), severe OA (n=37), and rotator cuff pathology (n=40)]. Our results were statistically significant, supporting the association of smaller CSAs with OA and larger CSAs with rotator cuff pathology. CSA measurements could provide a new means for identifying shoulder pathology and thereby reduce the need for costly and timely imaging techniques. CSA values could also provide useful information to utilize preventatively with interventions such as physical therapy to alter the CSA and reduce the prevalence of OA and shoulder arthroplasties. This study builds on the findings of Moore et al. in creating a correlation between CSA and shoulder pathology.

摘要

本研究的目的是将关键肩角(CSA)与Moor等人(2013年)早期研究中所呈现的肩部病变进行关联,CSA这一测量指标同时考虑了关节盂倾斜度和肩峰指数(AI)。基于Moor等人预测的正常CSA范围为30 - 35°,我们假设CSA大于正常范围将与肩袖病变相关或有关联,而CSA小于正常范围将与骨关节炎(OA)相关。按照Moore等人的方法,我们采用了Grashey位X线成像,因为它能提供整个关节盂窝和肩峰的最清晰视图。我们分析了323张前后位(AP)X线片以识别和测量CSA,将每位患者分为五组之一[无报告(n = 94)、轻度OA(n = 156)、中度OA(n = 36)、重度OA(n = 37)和肩袖病变(n = 40)]。我们的结果具有统计学意义,支持较小的CSA与OA相关以及较大的CSA与肩袖病变相关。CSA测量可为识别肩部病变提供一种新方法,从而减少对昂贵且耗时的成像技术的需求。CSA值还可为预防性干预措施(如物理治疗)提供有用信息,以改变CSA并降低OA和肩关节置换术的发生率。本研究基于Moore等人的研究结果,建立了CSA与肩部病变之间的关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2110/7732781/58969a545aa8/cureus-0012-00000011447-i01.jpg

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