Critical evaluation of commonly used methods to determine the concordance between sonography and magnetic resonance imaging: A comparative study

Author:

Warneke Konstantin,Keiner Michael,Lohmann Lars Hubertus,Brinkmann Anna,Hein Andreas,Schiemann Stephan,Wirth Klaus

Abstract

IntroductionAn increasing number of studies investigate the influence of training interventions on muscle thickness (MT) by using ultrasonography. Ultrasonography is stated as a reliable and valid tool to examine muscle morphology. Researches investigating the effects of a training intervention lasting a few weeks need a very precise measurement since increases in MT can be assumed as small. Therefore, the aim of the present work was to investigate the concordance between MT via sonography and muscle cross-sectional area (MCSA) determined via MRI imaging (gold standard) in the calf muscle.MethodsReliability of sonography measurement and the concordance correlation coefficient, the mean error (ME), mean absolute error (MAE) and the mean absolute percentage error (MAPE) between sonography and MRI were determined.ResultsResults show intraclass correlation coefficients (ICC) of 0.88–0.95 and MAPE of 4.63–8.57%. Concordance between MT and MCSA was examined showing ρ = 0.69–0.75 for the medial head and 0.39–0.51 c for the lateral head of the gastrocnemius. A MAPE of 15.88–19.94% between measurements were determined. Based on this, assuming small increases in MT due to training interventions, even with an ICC of 0.95, MAPE shows a high error between two investigators and therefore limited objectivity.DiscussionThe high MAPE of 15.88–19.94% as well as CCC of ρc = 0.39–0.75 exhibit that there are significant differences between MRI and sonography. Therefore, data from short term interventions using sonography to detect changes in the MT should be handled with caution.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Frontiers Media SA

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