Teyhen Deydre S, George Steven Z, Dugan Jessica L, Williamson Jared, Neilson Brett D, Childs John D
U.S. Army-Baylor University Doctoral Program in Physical Therapy, Fort Sam Houston, Texas, USA; Center for Physical Therapy Research, San Antonio, Texas, USA.
J Ultrasound Med. 2011 Mar;30(3):347-56. doi: 10.7863/jum.2011.30.3.347.
The purpose of this study was to determine the inter-rater reliability of ultrasound imaging for assessing trunk muscle morphologic characteristics at rest and while contracted among different pairs of novice raters. The secondary purpose was to compare 3 different measurement techniques for assessing lateral abdominal muscle thickness.
A single-group repeated measures reliability study was conducted on 21 healthy participants (mean ± SD, 21.5 ± 4.4 years; 5 female and 16 male) without low back pain. Ultrasound images of the transversus abdominis, internal oblique, rectus abdominis, and lumbar multifidus muscles were obtained by different pairs of novice raters in a counterbalanced order. All raters received a standardized training program before obtaining measurements.
The intraclass correlation coefficient (1, 3) point estimates ranged from 0.86 to 0.94; the standard error of the measurement ranged from 0.04 to 0.16 cm for the thickness values and 0.67 cm(2) for the cross-sectional area of the rectus abdominis muscle. There was no meaningful difference between the different measurement techniques used to analyze the lateral abdominal muscles.
Good to excellent reliability was obtained for all measures by novice raters. Minimal differences in reliability were noted between the different measurement techniques to assess lateral abdominal muscle thickness.
本研究的目的是确定超声成像在不同对新手评估者之间评估静息和收缩状态下躯干肌肉形态特征时的评分者间可靠性。次要目的是比较三种不同的测量技术来评估腹外侧肌厚度。
对21名无腰痛的健康参与者（平均±标准差，21.5±4.4岁；5名女性和16名男性）进行单组重复测量可靠性研究。由不同对的新手评估者以平衡顺序获取腹横肌、腹内斜肌、腹直肌和腰多裂肌的超声图像。所有评估者在进行测量前都接受了标准化培训。
组内相关系数（1,3）点估计值范围为0.86至0.94；腹直肌厚度值的测量标准误差范围为0.04至0.16厘米，横截面积的测量标准误差为0.67平方厘米。用于分析腹外侧肌的不同测量技术之间没有显著差异。
新手评估者对所有测量的可靠性都达到了良好到优秀。评估腹外侧肌厚度的不同测量技术之间的可靠性差异最小。
