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Reliability of a clinical 3D freehand ultrasound technique: Analyses on healthy and pathological muscles

机译:临床3D写意超声技术的可靠性:对健康和病理肌肉的分析

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Background and objective: 3D freehand Ultrasonography is a medical imaging technique that can be used to measure muscle and tendon morphological and structural properties, including volume, lengths and echo-intensity. These properties are clinically relevant in neurological disorders such as spastic cerebral palsy to monitor disease progression and evaluate the effect of treatment. This study presents a methodology for extracting these parameters along with a clinical reliability analysis for the data acquisition and processing.& para;& para;Methods: The medial gastrocnemius muscles and Achilles tendon of 10 typically developing children and 10 children with spastic cerebral palsy were assessed. An open-source in-house software library developed in Python (Py3DFreeHandUS) was used to reconstruct, into one 3D data set, the data simultaneously acquired from an US machine and a motion tracking system. US images were manually segmented and linearly interpolated by means of a new simplified approach which involved sequentially decreasing the total number of images used for muscle border segmentation from 100% to 5%. Acquisition and processing reliability was defined based on repeated measures from different data processers and from different data acquirers, respectively.& para;& para;Results: When only 10% of the US images were outlined, there was an average underestimation of muscle volume of 1.1% and 1.6% with respect the computation of all the available images, for the typically developing and spastic cerebral palsy groups, respectively. For both groups, the reliability was higher for data processing than for data acquisition. High inter-class correlation coefficient values were found for processing and acquisition reliability, with worst case values of 0.89 and 0.61, respectively. The standard error of measurement, expressed as a percentage of the average volumes, was smaller than 2.6 ml (4.8%) in all cases. Conclusions: The present analysis demonstrates the effectiveness of applying 3D freehand ultrasonography in a clinical setting for analysing healthy and pathological paediatric muscle. (C) 2017 Elsevier B.V. All rights reserved.
机译:背景和目的:3D手绘超声检查是一种医学成像技术,可用于测量肌肉和肌腱形态和结构性,包括体积,长度和回波强度。这些性质在临床上与神经系统疾病相关,例如痉挛性脑瘫,以监测疾病进展并评估治疗的效果。本研究提出了一种用于提取这些参数的方法以及数据采集和处理的临床可靠性分析。&段;&段;方法:中介胃肠肌肉和阿基里斯肌腱10次通常发育儿童和10名痉挛性脑瘫的儿童评估。在Python(PY3DFREEHANDUS)中开发的开源内部软件库被用于重建为一个3D数据集,该数据从美国机器和运动跟踪系统中获取。通过一种新的简化方法手动分割和线性地插入美国图像,这涉及从100%到5%的肌电边界分割的图像总数依次降低。基于来自不同数据处理器的重复措施和来自不同数据获取者的重复措施,分别定义了采集和处理可靠性。&段;结果:当概述了10%的美国图像时,平均低估了肌肉量对于典型的开发和痉挛性脑瘫组,所有可用图像的计算,1.1%和1.6%。对于两个组,数据处理的可靠性比数据采集更高。发现高级相关系数值用于处理和获取可靠性,分别最差为0.89和0.61的情况。在所有情况下表达为平均体积的标准误差,表达为平均体积的百分比小于2.6ml(4.8%)。结论:本分析表明,在临床环境中应用3D写手超声检查的有效性,用于分析健康和病理小儿肌肉。 (c)2017 Elsevier B.v.保留所有权利。

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