The subacromial index: a novel radiological parameter associated with rotator cuff tears

IF 2 Q2 Medicine

JSES International Pub Date : 2026-07-01 Epub Date: 2026-05-20 DOI:10.1016/j.jseint.2026.101742

Çağrı Üner MD, Sancar Serbest MD

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引用次数: 0

Abstract

Background

Previous studies have demonstrated associations between radiological parameters such as the acromial index (AI), critical shoulder angle, and lateral acromial angle and rotator cuff tears (RCTs). The aim of this study was to evaluate the relationship between RCTs and a novel measurement method termed the subacromial index (SAI), which has not been previously described in the literature, and to compare this parameter with established radiological measurements.

Methods

This retrospective study evaluated 132 patients who underwent shoulder magnetic resonance imaging between January 2017 and March 2021. The study population was categorized into 2 groups according to the presence or absence of RCTs. Demographic variables and radiological parameters, including age, sex, AI, critical shoulder angle, lateral acromial angle, SAI, and subacromiohumeral distance (SHD), were assessed. Receiver-operating characteristic curve analysis was used to determine cutoff values, and multivariable as well as stratified logistic regression analyses were performed to identify factors associated with RCTs.

Results

Patients with RCTs were older and more frequently female. In the RCT group, AI and critical shoulder angle values were higher, whereas SAI and SHD values were significantly lower. Receiver-operating characteristic analysis demonstrated that older age, female sex, increased AI and critical shoulder angle, and decreased SAI and SHD were associated with RCTs. In the multivariable analysis including demographic variables, age and AI were identified as the strongest factors associated with RCTs. In the stratified analysis excluding demographic variables, the SAI remained significantly associated with RCTs.

Conclusion

The SAI, which simultaneously reflects acromial length and inclination, is significantly associated with RCTs. Although age and AI remain the strongest factors overall, the SAI provides additional anatomical information regarding RCT risk independent of demographic factors.

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肩峰下指数：与肩袖撕裂相关的一种新的放射学参数。

背景：先前的研究已经证明了放射学参数如肩峰指数（AI）、临界肩角和肩峰外侧角与肩袖撕裂（rct）之间的关联。本研究的目的是评估随机对照试验与一种新的测量方法肩峰下指数（SAI）之间的关系，该方法在以前的文献中没有描述过，并将该参数与已建立的放射测量值进行比较。方法：本回顾性研究评估了2017年1月至2021年3月期间接受肩部磁共振成像的132例患者。根据是否存在随机对照试验，将研究人群分为两组。评估人口统计学变量和放射学参数，包括年龄、性别、AI、临界肩角、肩峰外侧角、SAI和肩肱骨下距离（SHD）。采用接受者-工作特征曲线分析确定截止值，并采用多变量和分层逻辑回归分析确定与rct相关的因素。结果：随机对照试验患者年龄较大，女性居多。在RCT组中，AI和临界肩角值较高，而SAI和SHD值明显较低。接受者操作特征分析表明，年龄较大、女性、AI和临界肩角增加、SAI和SHD降低与rct相关。在包括人口统计变量在内的多变量分析中，年龄和人工智能被确定为与随机对照试验相关的最强因素。在排除人口统计学变量的分层分析中，SAI仍然与随机对照试验显著相关。结论：SAI同时反映肩峰长度和倾斜度，与随机对照试验有显著相关性。虽然年龄和人工智能仍然是最重要的因素，但SAI提供了独立于人口因素的关于RCT风险的额外解剖学信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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