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ORIGINAL RESEARCH article

Front. Rehabil. Sci.

Sec. Rehabilitation for Musculoskeletal Conditions

Volume 6 - 2025 | doi: 10.3389/fresc.2025.1539804

This article is part of the Research Topic Advancing Muscle Health: From Technical and Clinical Research to Practice View all 3 articles

Comparison of manual and semi-automated algorithm for measuring architectural features of the vastus lateralis during different isometric knee extension intensities: A reliability and comparative study in novice raters

Provisionally accepted
Micheal Luera Micheal Luera 1Jocarol E Shields Jocarol E Shields 2Emma D Bozarth Emma D Bozarth 1Rob J MacLennan Rob J MacLennan 3,4Natalie P Walker Natalie P Walker 1Jesus A Hernandez-Sarabia Jesus A Hernandez-Sarabia 1Carlos A Estrada Carlos A Estrada 5Jason M DeFreitas Jason M DeFreitas 2Scott K Crawford Scott K Crawford 6*
  • 1 Tarleton State University, Stephenville, Texas, United States
  • 2 Syracuse University, Syracuse, New York, United States
  • 3 Malcom Randall VA Medical Center, North Florida/South Georgia Veterans Health System, Veterans Health Administration, United States Department of Veterans Affairs, Gainesville, Florida, United States
  • 4 University of Florida, Gainesville, Florida, United States
  • 5 Aurora University, Aurora, New York, United States
  • 6 University of Wisconsin-Madison, Madison, United States

The final, formatted version of the article will be published soon.

    Ultrasound is a cost-effective and reliable method to determine skeletal muscle architecture. However, manual analysis of fascicle length (FL) and pennation angle (PA) can be arduous and subjective among raters, particularly among novice raters. Alternatives to manual processing have been proposed that expedite the evaluation of muscle architecture and afford more consistency. While using algorithms has provided dependable results of muscle architecture, it has often focused on variables of passive range of motion and submaximal contractions. To fully understand the impact of muscle architecture using semi-automated analysis, an investigation of a broad range of contraction intensities is needed. The purpose of this study was to develop and determine the intra-rater and inter-rater reliability of a custom, semi-automated algorithm to extract measures of muscle thickness, pennation angle, and fascicle length, and second to compare the semi-automated measures to measures extracted manually from the same novice raters while accounting for differences between contraction intensities.Methods: Fifteen resistance-trained individuals (male: n = 6, female: n = 9) completed this study. Images were collected during four contraction intensities relative to maximal voluntary isometric contractions (MVIC) (at rest, 30%, 70%, and MVIC) and analyzed by three novice raters to compare the semi-automated algorithm and manual measurement in the vastus lateralis.Results: Intra-rater reliability for manual measures was poor for FL (ICCs: 0-0.30), poor to good for PA (ICCs: 0.46-0.77), and moderate to good for muscle thickness (MT) (ICCs: 0.55 -0.84).For the semi-automated algorithm, the intra-rater reliability was good to excellent for FL (range: 0.90-0.99), PA (range: 0.88-0.99), and MT (range: 0.996-0.999) across all contraction intensities.The findings of this study suggest that the reliability of manual measurement is lower when novice raters perform image analyses compared to the semi-automated method.Therefore, careful consideration and training should be provided when considering manual assessment of muscle architecture values, and standardized identification methods and features in algorithm development may be a better method for reproducibility.

    Keywords: ultrasound, Muscle, Fascicle length, Pennation angle, Reliability

    Received: 04 Dec 2024; Accepted: 17 Mar 2025.

    Copyright: © 2025 Luera, Shields, Bozarth, MacLennan, Walker, Hernandez-Sarabia, Estrada, DeFreitas and Crawford. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Scott K Crawford, University of Wisconsin-Madison, Madison, United States

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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