Determining the Validity and Reliability of Elastographic Analytics Using Rotator Cuff Muscles

Author:

Volz Kevin R.1,Dashottar Amitabh2,Evans Kevin D.1

Affiliation:

1. Ohio State University, Columbus, OH, USA

2. Simmons College, Boston, MA, USA

Abstract

The purpose of this study was to determine the feasibility and reliability of using elastography and subsequent image analysis to evaluate two rotator cuff muscles. Elastography imaging was conducted on the infraspinatus muscles of four cadavers. Next, elastography imaging was conducted on the supraspinatus muscles of 10 human subjects. Image analysis was conducted retrospectively to determine the relative computed strain value. Pearson correlations and two-tailed t tests for equal variance were used to demonstrate an interclass correlation (ICC) for two researchers performing image analysis. A significance value of P < .05 was set a priori. In the cadaver portion of the study, a Pearson correlation had an r = 0.99, and a two-tailed t test for equal variance showed P = .08. In the human portion of the study, a Pearson correlation had an r = 0.92, and a two-tailed t test for equal variance yielded a P < .05. When all elastography images from both portions of the experiment were combined, the analysis showed an r = 0.97 and a P < .05. This descriptive research study provides lower level scientific evidence that steady-state quasi-static elastography could provide valid and reliable information that will assist in the evaluation of the rotator cuff muscles of the shoulder.

Publisher

SAGE Publications

Subject

Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Building an Inclusive Research and Clinical Set of Workgroups: An Investment in Success!;Journal of Diagnostic Medical Sonography;2021-03-01

2. Using Elastography in Biomechanics Research;Journal of Diagnostic Medical Sonography;2017-06-06

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