从单个超声波图像中估计广的横向肌肉体积
Moritz Eggelbusch1,2,3, Guido Weide4, Michael Tieland5,6
1Laboratory for Myology, Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands. moritz.eggelbusch@tum.de.
Scientific reports
|August 18, 2025
概括
使用单个解剖截面面积 (ACSA) 测量,准确估计广侧面肌肉 (VL) 的体积. 这种新的方法为大规模研究和临床实践提供了一种快速,具有成本效益的工具.
科学领域:
- 生物医学工程 生物医学工程
- 人体生理学 人体生理学
- 肌肉骨研究 研究
背景情况:
- 评估骨肌肉体积对于研究和临床应用至关重要.
- 目前用于测量肌肉体积的方法往往耗时,限制了它们在大型队伍中的使用.
研究的目的:
- 开发和验证一种快速,准确的方法来估计巨大的侧侧肌 (VL) 肌肉体积.
- 在大规模研究和临床环境中实现有效的肌肉体积评估.
主要方法:
- 开发了一种方法来估计VL肌肉体积,使用单次测量解剖截面面积 (ACSA) 或组织厚度.
- 根据肌肉长度和ACSA,根据肌肉大小推导出VL肌肉形状因子.
- 用超声波和几何建模验证了主要队列和独立验证组中的方法.
主要成果:
- 开发的方法准确地估计了高R2 (0.976) 和一致性相关系数 (CCC=0.987) 的VL肌肉体积.
- 估计显示在两个队列中偏差和误差低 (<8.5%).
- 该方法解释了91-95%的测量肌肉体积的差异.
结论:
- 已经建立了一种新的,经济有效的和快速的方法来评估VL肌肉体积.
- 这种技术可以从单个超声波图像中准确地估计肌肉质量.
- 该方法适用于大规模研究和临床实践,克服了以前的局限性.
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