In vivo assessment of muscle fascicle length by extended field-of-view ultrasonography

Author:

Noorkoiv M.1,Stavnsbo A.2,Aagaard P.2,Blazevich A. J.1

Affiliation:

1. School of Exercise, Biomedical, and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia; and

2. Institute of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark

Abstract

The present study examined the reliability and validity of in vivo vastus lateralis (VL) fascicle length ( Lf) assessment by extended field-of-view ultrasonography (EFOV US). Intraexperimenter and intersession reliability of EFOV US were tested. Further, Lf measured from EFOV US images were compared to Lf measured from static US images (6-cm FOV) where out-of-field fascicle portions were trigonometrically estimated (linear extrapolation). Finally, spatial accuracy of the EFOV technique was assessed by comparing Lf measured on swine VL by EFOV US to actual measurements from digital photographs. The difference between repeated VL Lf measurements by the same experimenter was 2.1 ± 1.7% with an intraclass correlation (ICC) of 0.99 [95% confidence interval (CI) = 0.95–1.00]. In terms of intersession reliability, no difference ( P = 0.48) was observed between Lf measured on two different occasions, with ICC = 0.95 (CI = 0.80–0.99). The average absolute difference between Lf measured by EFOV US and using linear extrapolation was 12.6 ± 8.1% [ICC = 0.76 (CI = −0.20–0.94)]; EFOV Lf was always longer than extrapolated Lf. The relative error of measurement between Lf measured by EFOV US and by dissective assessment (digital photographs) in isolated swine VL was 0.84% ± 2.6% with an ICC of 0.99 (CI = 0.94–1.00). These results show that EFOV US is a reliable and valid method for the measurement of long muscle fascicle in vivo. Thus EFOV US analysis was proven more accurate for the assessment of skeletal muscle fascicle length than conventional extrapolation methods.

Publisher

American Physiological Society

Subject

Physiology (medical),Physiology

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