Feasibility of the acromion index as a reference of severity of stratified supraspinatus tendon injury: a secondary analysis

Author:

Kim Hyoung Seop1ORCID,Joo Seung Ho2,Lim Hyun Sun3,Kim Hye Won4

Affiliation:

1. Department of Physical Medicine and Rehabilitation, National Health Insurance Service Ilsan Hospital, Ilsan, Republic of Korea

2. Department of Radiology, National Health Insurance Service Ilsan Hospital, Ilsan, Republic of Korea

3. Research and Analysis Team, National Health Insurance Service Ilsan Hospital, Ilsan, Republic of Korea

4. Department of Rehabilitation Medicine, Bucheon St. Mary’s Hospital, Catholic University of Korea, Bucheon, Republic of Korea

Abstract

Background The acromion index (AI) is the acromial lateral extension above the head of the humerus. Some researchers have advocated that the AI indicates the severity of the tear size of the full-thickness supraspinatus tendon. Purpose To validate the reproducibility of the AI between shoulder magnetic resonance imaging (MRI) and standard X-ray and to verify whether the AI is a useful index for stratifying the severity of supraspinatus tendon injuries, as well as full-thickness tears. Material and Methods We enrolled 200 patients with impingement syndrome who were subsequently evaluated with standard X-ray of the shoulder in the anteroposterior view, as well as an MRI. We performed a pilot study to validate the reproducibility of the AI using standard X-ray and MRI, and to compare the AI between these imaging modalities. The severity of supraspinatus tendon injury was classified into four groups (0 = no evidence of injury, 1 = partial tear, 2 = full-thickness tear, and 3 = complete rupture) based on an official reading of the shoulder MRI. We compared the AIs of both modalities between the groups. Results Intraclass correlation coefficients of the AIs between the two examiners were 0.819 for MRI and 0.808 for plain X-ray. The mean AI from standard X-ray was greater than that from MRI ( P<0.0001). There was no statistical correlation between the AI and the severity of supraspinatus tendon injury. Conclusion Our findings indicate that the AI cannot be generally used as a predictive reference for the stratified severities of supraspinatus tendon injury.

Publisher

SAGE Publications

Subject

Radiology Nuclear Medicine and imaging,General Medicine,Radiological and Ultrasound Technology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3