Quantitative Computed Tomography and Image Analysis for Advanced Muscle Assessment.
Quantitative Computed Tomography and Image Analysis for Advanced Muscle Assessment.
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用于高级肌肉评估的定量计算机断层扫描和图像分析。
DOI：
10.4081/ejtm.2016.6015
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发表时间：
2016-06-13
影响因子：
2.2
通讯作者：
Gargiulo P
中科院分区：
文献类型：
--
作者：
Edmunds KJ;Gíslason MK;Arnadottir ID;Marcante A;Piccione F;Gargiulo P
医学成像在转化肌学领域中特别令人感兴趣，因为现存文献描述了利用各种各样的技术来非侵入性地概括和量化各种内部和外部组织形态。在临床方面，医学成像仍然是诊断和调查评估的重要工具。这篇综述概述了使用计算机断层扫描（CT）和图像分析技术来评估肌肉状况和退行性过程，由于老化或病理条件的几项调查的结果。在这里，我们详细介绍了螺旋CT图像的采集和使用先进的图像分析工具来表征肌肉的2D和3D。这些研究的结果概括了肌肉内组织组成的变化，如通过将组织类型与脂肪、疏松结缔组织或萎缩性肌肉以及正常肌肉（包括筋膜和肌腱）的指定亨氏单位（HU）值相关联而可视化的。我们展示了这些分析的结果如何以平均HU值和相对于总肌肉体积的组合物的形式呈现，证明了这些工具用于监测、评估和表征肌肉退化的可靠性。
Medical imaging is of particular interest in the field of translational myology, as extant literature describes the utilization of a wide variety of techniques to non-invasively recapitulate and quantity various internal and external tissue morphologies. In the clinical context, medical imaging remains a vital tool for diagnostics and investigative assessment. This review outlines the results from several investigations on the use of computed tomography (CT) and image analysis techniques to assess muscle conditions and degenerative process due to aging or pathological conditions. Herein, we detail the acquisition of spiral CT images and the use of advanced image analysis tools to characterize muscles in 2D and 3D. Results from these studies recapitulate changes in tissue composition within muscles, as visualized by the association of tissue types to specified Hounsfield Unit (HU) values for fat, loose connective tissue or atrophic muscle, and normal muscle, including fascia and tendon. We show how results from these analyses can be presented as both average HU values and compositions with respect to total muscle volumes, demonstrating the reliability of these tools to monitor, assess and characterize muscle degeneration.