Pillen Sigrid, van Alfen Nens
Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands.
Neurol Res. 2011 Dec;33(10):1016-24. doi: 10.1179/1743132811Y.0000000010.
Muscle ultrasound is a convenient technique to visualize normal and pathological muscle tissue as it is non-invasive and real-time. Neuromuscular disorders give rise to structural muscle changes that can be visualized with ultrasound: atrophy can be objectified by measuring muscle thickness, while infiltration of fat and fibrous tissue increases muscle echo intensity, i.e. the muscles become whiter on the ultrasound image. Muscle echo intensity needs to be quantified to correct for age-related increase in echo intensity and differences between individual muscles. This can be done by gray scale analysis, a method that can be easily applied in daily clinical practice. Using this technique, it is possible to detect neuromuscular disorders with predictive values of 90%. Only in young children and metabolic myopathies the sensitivity is lower. Ultrasound is a dynamic technique and therefore capable of visualizing normal and pathological muscle movements. Fasciculations can easily be differentiated from other muscle movements. Ultrasound appeared to be even more sensitive in detecting fasciculations compared to Electromyography (EMG) and clinical observations, because it can visualize a large muscle area and deeper located muscles. With improving resolution and frame rate it has recently become clear that also smaller scale spontaneous muscle activity such as fibrillations can be detected by ultrasound. This opens the way to a broader use of muscle ultrasound in the diagnosis of peripheral nerve and muscle disorders.
肌肉超声是一种可视化正常和病理肌肉组织的便捷技术,因为它是非侵入性的且可实时成像。神经肌肉疾病会导致肌肉结构改变,这些改变可通过超声观察到:萎缩可通过测量肌肉厚度来客观化,而脂肪和纤维组织的浸润会增加肌肉回声强度,即在超声图像上肌肉会变得更白。需要对肌肉回声强度进行量化,以校正与年龄相关的回声强度增加以及不同肌肉之间的差异。这可以通过灰度分析来完成,该方法在日常临床实践中易于应用。使用这种技术,能够以90%的预测值检测出神经肌肉疾病。仅在幼儿和代谢性肌病中,其敏感性较低。超声是一种动态技术,因此能够可视化正常和病理的肌肉运动。肌束震颤可轻松与其他肌肉运动区分开来。与肌电图(EMG)和临床观察相比,超声在检测肌束震颤方面似乎更为敏感,因为它可以观察到较大的肌肉区域和更深层的肌肉。随着分辨率和帧率的提高,最近已经明确超声也能够检测到较小规模的自发肌肉活动,如肌纤维震颤。这为肌肉超声在周围神经和肌肉疾病诊断中的更广泛应用开辟了道路。