Acromial Index in Indian Population and it’s Significance on Rotator Cuff Tears

Sharat Balemane, Kaushik S. Eswaran, N. Shetty
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Abstract

Background: The etiopathogenesis of rotator cuff tears remains debatable. Among the many causes, abnormal scapular morphology has been found to accelerate the degenerative process of rotator cuff tears. The morphology and lateral extension of the acromion process were assessed indetail by Nyffeler et al. and the Acromion Index (AI) was introduced, which measures the lateral extension of the acromion. It was theorized that a large lateral extension of the acromion increased the chances of the supraspinatus tendon to degenerate because of impingement between the acromion and the deltoid muscle. The AI was compared between patients with rotator cuff tears and patients with an intact rotator cuff. Methods: 21 Indian patients presenting to the orthopaedics OPD, Yenepoya Medical College, with rotator cuff tears were taken up for this study between August 2020 and February 2021. Another 21 patients with intact rotator cuff and other shoulder diseases such as frozen shoulder were included in this study. Patients with rotator cuff tears were included in group A, and patients with intact rotator cuff were included in group B. Both groups had the AI measured on radiographs, and their values were compared. Results: The mean Acromial Index (AI) in the rotator cuff tear group was 0.74 and in the intact rotator cuff group it was 0.59, which was statistically significant. There was no statistical difference in AI between male and female patients. The mean age of the patients in the rotator cuff group was 50.8 years, and in non rotator cuff tear group, it was 50.2 years. Conclusion: Acromial Index is a useful predictive tool for detecting rotator cuff tears in the Indian population. Further studies are required to assess its usefulness in predicting the progression of a rotator cuff tear. Keywords: Rotator cuff tear; Acromial Index; Shoulder.
印度人群肩峰指数及其对肩袖撕裂的意义
背景:肩袖撕裂的发病机制仍有争议。在许多原因中,异常的肩胛骨形态被发现加速了肩袖撕裂的退行性过程。Nyffeler等人详细评估了肩峰的形态和侧伸,并引入了肩峰指数(AI),用于测量肩峰的侧伸。理论上,由于肩峰和三角肌之间的撞击,肩峰的大外侧延伸增加了冈上肌腱退化的机会。比较肩袖撕裂患者和肩袖完整患者的人工智能。方法:在2020年8月至2021年2月期间,在叶纳波亚医学院骨科OPD就诊的21名印度患者被纳入本研究。另外21例肩袖完整和其他肩部疾病如肩周炎的患者也被纳入本研究。A组为肩袖撕裂患者,b组为肩袖完整患者。两组均在x线片上测量AI,并比较其值。结果:肩袖撕裂组平均肩峰指数(AI)为0.74,肩袖完整组平均肩峰指数(AI)为0.59,差异有统计学意义。男女患者AI无统计学差异。肩袖撕裂组平均年龄为50.8岁,非肩袖撕裂组平均年龄为50.2岁。结论:肩峰指数是检测印度人群肩袖撕裂的有效预测工具。需要进一步的研究来评估其在预测肩袖撕裂进展方面的有效性。关键词:肩袖撕裂;肩峰的指数;的肩膀。
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