Kuo Tai-Tzung, Lee Ming-Ru, Liao Yin-Yin, Chen Jiann-Perng, Hsu Yen-Wei, Yeh Chih-Kuang
Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan.
Department of Neurosurgery, Hsin-chu Mackay Memorial Hospital, Hsinchu, Taiwan.
PLoS One. 2016 Jan 14;11(1):e0147051. doi: 10.1371/journal.pone.0147051. eCollection 2016.
Carpal tunnel syndrome (CTS) is the most common peripheral neuropathy and is characterized by median nerve entrapment at the wrist and the resulting median nerve dysfunction. CTS is diagnosed clinically as the gold standard and confirmed with nerve conduction studies (NCS). Complementing NCS, ultrasound imaging could provide additional anatomical information on pathological and motion changes of the median nerve. The purpose of this study was to estimate the transverse sliding patterns of the median nerve during finger movements by analyzing ultrasound dynamic images to distinguish between normal subjects and CTS patients. Transverse ultrasound images were acquired, and a speckle-tracking algorithm was used to determine the lateral displacements of the median nerve in radial-ulnar plane in B-mode images utilizing the multilevel block-sum pyramid algorithm and averaging. All of the averaged lateral displacements at separate acquisition times within a single flexion-extension cycle were accumulated to obtain the cumulative lateral displacements, which were curve-fitted with a second-order polynomial function. The fitted curve was regarded as the transverse sliding pattern of the median nerve. The R2 value, curvature, and amplitude of the fitted curves were computed to evaluate the goodness, variation and maximum value of the fit, respectively. Box plots, the receiver operating characteristic (ROC) curve, and a fuzzy c-means clustering algorithm were utilized for statistical analysis. The transverse sliding of the median nerve during finger movements was greater and had a steeper fitted curve in the normal subjects than in the patients with mild or severe CTS. The temporal changes in transverse sliding of the median nerve within the carpal tunnel were found to be correlated with the presence of CTS and its severity. The representative transverse sliding patterns of the median nerve during finger movements were demonstrated to be useful for quantitatively estimating median nerve dysfunction in CTS patients.
腕管综合征(CTS)是最常见的周围神经病变,其特征是正中神经在腕部受压以及由此导致的正中神经功能障碍。CTS的临床诊断是金标准,并通过神经传导研究(NCS)进行确认。作为NCS的补充,超声成像可以提供关于正中神经病理和运动变化的额外解剖学信息。本研究的目的是通过分析超声动态图像来估计手指运动过程中正中神经的横向滑动模式,以区分正常受试者和CTS患者。采集横向超声图像,并使用斑点追踪算法,利用多级块求和金字塔算法和平均法来确定B模式图像中正中神经在桡尺平面上的横向位移。在单个屈伸周期内不同采集时间的所有平均横向位移进行累加,以获得累积横向位移,并用二阶多项式函数对其进行曲线拟合。拟合曲线被视为正中神经的横向滑动模式。计算拟合曲线的R2值、曲率和振幅,分别评估拟合的优度、变化和最大值。利用箱线图、受试者工作特征(ROC)曲线和模糊c均值聚类算法进行统计分析。与轻度或重度CTS患者相比,正常受试者在手指运动过程中正中神经的横向滑动更大,拟合曲线更陡峭。发现腕管内正中神经横向滑动的时间变化与CTS的存在及其严重程度相关。手指运动过程中正中神经的代表性横向滑动模式被证明有助于定量评估CTS患者的正中神经功能障碍。