Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, Alberta, Canada.
Phys Ther. 2012 Jun;92(6):853-64. doi: 10.2522/ptj.20110380. Epub 2012 Mar 8.
Variations in paraspinal muscle cross-sectional area (CSA) and composition, particularly of the multifidus muscle, have been of interest with respect to risk of, and recovery from, low back pain problems. Several investigators have reported on the reliability of such muscle measurements using various protocols and image analysis programs. However, there is no standard protocol for tissue segmentation, nor has there been an investigation of reliability or agreement of measurements using different software.
The purpose of this study was to provide a detailed muscle measurement protocol and determine the reliability and agreement of associated paraspinal muscle composition measurements obtained with 2 commonly used image analysis programs: OsiriX and ImageJ.
This was a measurement reliability study.
Lumbar magnetic resonance images of 30 individuals were randomly selected from a cohort of patients with various low back conditions. Muscle CSA and composition measurements were acquired from axial T2-weighted magnetic resonance images of the multifidus muscle, the erector spinae muscle, and the 2 muscles combined at L4-L5 and S1 for each participant. All measurements were repeated twice using each software program, at least 5 days apart. The assessor was blinded to all earlier measurements.
The intrarater reliability and standard error of measurement (SEM) were comparable for most measurements obtained using OsiriX or ImageJ, with reliability coefficients (intraclass correlation coefficients [ICCs]) varying between .77 and .99 for OsiriX and .78 and .99 for ImageJ. There was similarly excellent agreement between muscle composition measurements using the 2 software applications (inter-software ICCs = .81-.99).
The high degree of inter-software measurement reliability may not generalize to protocols using other commercial or custom-made software.
The proposed method to investigate paraspinal muscle CSA, composition, and side-to-side asymmetry was highly reliable, with excellent agreement between the 2 software programs.
脊柱旁肌肉横截面积(CSA)和组成的变化,特别是多裂肌的变化,一直是研究下腰痛风险和恢复的关注点。几位研究人员已经报告了使用各种协议和图像分析程序测量这些肌肉的可靠性。然而,目前还没有用于组织分割的标准协议,也没有研究使用不同软件测量的可靠性或一致性。
本研究旨在提供详细的肌肉测量方案,并确定使用两种常用的图像分析软件(OsiriX 和 ImageJ)获得的相关脊柱旁肌肉成分测量的可靠性和一致性。
这是一项测量可靠性研究。
从一组患有各种下腰痛的患者队列中随机选择 30 名个体的腰椎磁共振图像。使用每个参与者的 L4-L5 和 S1 处的轴向 T2 加权磁共振图像,从多裂肌、竖脊肌和 2 块肌肉的组合中获取 CSA 和组成测量值。每种软件程序均重复测量两次,至少相隔 5 天。评估者对所有早期测量均不知情。
使用 OsiriX 或 ImageJ 获得的大多数测量值的内部评估者可靠性和测量标准误差(SEM)相当,可靠性系数(组内相关系数 [ICC])在 OsiriX 中变化范围为.77 至.99,在 ImageJ 中变化范围为.78 至.99。两种软件应用程序之间的肌肉成分测量值也具有极好的一致性(软件间 ICC =.81-.99)。
高程度的软件间测量可靠性可能不适用于使用其他商业或定制软件的协议。
所提出的研究脊柱旁肌肉 CSA、组成和双侧对称性的方法具有高度可靠性,两种软件程序之间具有极好的一致性。