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使用超声成像系统结合惯性测量单元评估腰大肌的解剖横截面积:基于惯性测量单元定位技术提高超声检查的可靠性

Evaluation of the Anatomical Cross-Sectional Area of Psoas Major Muscle Using an Ultrasound Imaging System Combined With an Inertial Measurement Unit: Improved Reliability in the US Using IMU-Based Positioning Techniques.

作者信息

Ito Kazuhiro, Maeshima Etsuko, Arai Nobuyuki, Saito Koichi, Koshiba Hiroya, Maruyama Junko, Asada Keiji, Nakamata Takaaki, Yamaguchi Kazuki, Hatanaka Yasuhiko

机构信息

Department of Rehabilitation Physical Therapy Course, Faculty of Health Science, Suzuka University of Medical Science, 1001-1, Kishioka, Suzuka, Mie 510-0293, Japan.

Graduate School of Sport and Exercise Sciences, Osaka University of Health and Sport Sciences, 1-1 Asadaidai, Kumatori, Sennan-Gun, Osaka 590-0496, Japan.

出版信息

Transl Sports Med. 2024 Oct 29;2024:7774612. doi: 10.1155/2024/7774612. eCollection 2024.

DOI:10.1155/2024/7774612
PMID:39502872
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11537743/
Abstract

Recently, ultrasound (US) imaging has been used to estimate the cross-sectional area of skeletal muscle, but the reliability is uncertain. To improve the reliability of the US, we investigated skeletal muscle thickness measurement using an inertial measurement unit (IMU) to determine the direction of US beam incidence based on posture angle information. In addition, we examined whether the anatomical cross-sectional area (ACSA) of muscle can be estimated from the muscle thickness measured using the US with the IMU. In Experiment 1, two examiners measured the right psoas major at the fourth lumbar vertebra level in 10 university students using the US with and without an IMU. The intraclass correlation coefficient (ICC) was used to examine intra- and inter-rater variability. In Experiment 2, the two examiners measured the muscle thickness of the right psoas major in 31 male subjects using the US with an IMU. In addition, the ACSA of this muscle was measured using MRI. Pearson's correlation coefficient was used to examine the relationship between muscle thickness and ACSA, and a single regression analysis was performed. Both intrarater reliability ICC (1, 2) and inter-rater reliability ICC (2, 2) were higher when US was used with IMU compared to without IMU (Experiment 1). A significant positive correlation ( = 0.84, < 0.01) was observed between muscle thickness and ACSA (Experiment 2). The regression equation was significant at  = 0.71 ( < 0.01). Using an IMU during US measurement of the psoas major improves intra- and interexaminer reliability and can be used to estimate the ACSA of the muscle.

摘要

最近,超声(US)成像已被用于估计骨骼肌的横截面积,但其可靠性尚不确定。为提高超声的可靠性,我们研究了使用惯性测量单元(IMU)测量骨骼肌厚度,以便根据姿势角度信息确定超声束入射方向。此外,我们还研究了能否根据使用带有IMU的超声测量的肌肉厚度来估计肌肉的解剖横截面积(ACSA)。在实验1中,两名检查者分别使用带和不带IMU的超声对10名大学生第四腰椎水平的右侧腰大肌进行测量。组内相关系数(ICC)用于检验检查者内部和检查者之间的变异性。在实验2中,两名检查者使用带有IMU的超声对31名男性受试者右侧腰大肌的厚度进行测量。此外,使用磁共振成像(MRI)测量该肌肉的ACSA。采用Pearson相关系数检验肌肉厚度与ACSA之间的关系,并进行一元回归分析。与不使用IMU相比,使用IMU时检查者内部可靠性ICC(1,2)和检查者之间可靠性ICC(2,2)均更高(实验1)。观察到肌肉厚度与ACSA之间存在显著正相关(r = 0.84,P < 0.01)(实验2)。回归方程在P = 0.71时具有显著性(P < 0.01)。在超声测量腰大肌时使用IMU可提高检查者内部和检查者之间的可靠性,并可用于估计肌肉的ACSA。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f32/11537743/5cac8341026c/TSMED2024-7774612.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f32/11537743/3068108ec025/TSMED2024-7774612.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f32/11537743/294f7108def6/TSMED2024-7774612.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f32/11537743/c5a8281f6ff0/TSMED2024-7774612.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f32/11537743/603f52f45ff8/TSMED2024-7774612.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f32/11537743/5cac8341026c/TSMED2024-7774612.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f32/11537743/3068108ec025/TSMED2024-7774612.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f32/11537743/294f7108def6/TSMED2024-7774612.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f32/11537743/c5a8281f6ff0/TSMED2024-7774612.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f32/11537743/603f52f45ff8/TSMED2024-7774612.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f32/11537743/5cac8341026c/TSMED2024-7774612.005.jpg

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