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使用 NIH Image J 进行 CT 扫描的大腿单层横截面积和组成分析的指南。

A guide for using NIH Image J for single slice cross-sectional area and composition analysis of the thigh from computed tomography.

机构信息

College of Health Sciences and Center for Muscle Biology, University of Kentucky, Lexington, KY, United States of America.

College of Arts and Sciences, Department of Statistics, University of Kentucky, Lexington, KY, United States of America.

出版信息

PLoS One. 2019 Feb 7;14(2):e0211629. doi: 10.1371/journal.pone.0211629. eCollection 2019.

DOI:10.1371/journal.pone.0211629
PMID:30730923
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6366874/
Abstract

Reports using computed tomography (CT) to estimate thigh skeletal muscle cross-sectional area and mean muscle attenuation are often difficult to evaluate due to inconsistent methods of quantification and/or poorly described analysis methods. This CT tutorial provides step-by-step instructions in using free, NIH Image J software to quantify both muscle size and composition in the mid-thigh, which was validated against a robust commercially available software, SliceOmatic. CT scans of the mid-thigh were analyzed from 101 healthy individuals aged 65 and older. Mean cross-sectional area and mean attenuation values are presented across seven defined Hounsfield unit (HU) ranges along with the percent contribution of each region to the total mid-thigh area. Inter-software correlation coefficients ranged from R2 = 0.92-0.99 for all specific area comparisons measured using the Image J method compared to SliceOmatic. We recommend reporting individual HU ranges for all areas measured. Although HU range 0-100 includes the majority of skeletal muscle area, HU range -29 to 150 appears to be the most inclusive for quantifying total thigh muscle. Reporting all HU ranges is necessary to determine the relative contribution of each, as they may be differentially affected by age, obesity, disease, and exercise. This standardized operating procedure will facilitate consistency among investigators reporting computed tomography characteristics of the thigh on single slice images. Trial Registration: ClinicalTrials.gov NCT02308228.

摘要

由于量化方法不一致和/或分析方法描述不佳,使用计算机断层扫描 (CT) 估计大腿骨骼肌横截面积和平均肌肉衰减的报告通常难以评估。本 CT 教程提供了使用免费的 NIH Image J 软件逐步量化大腿中部肌肉大小和成分的说明,该方法已通过强大的商业可用软件 SliceOmatic 进行了验证。对 101 名年龄在 65 岁及以上的健康个体的大腿中部进行 CT 扫描分析。根据七个定义的亨氏单位 (HU) 范围呈现平均横截面积和平均衰减值,以及每个区域对大腿中部总面积的百分比贡献。使用 Image J 方法与 SliceOmatic 相比,所有特定区域比较的软件间相关系数范围为 0.92-0.99。我们建议报告所有测量区域的个体 HU 范围。虽然 HU 范围 0-100 包含了大部分骨骼肌面积,但 HU 范围-29 到 150 似乎最适合量化大腿总肌肉。报告所有 HU 范围对于确定每个范围的相对贡献是必要的,因为它们可能会因年龄、肥胖、疾病和运动而有差异。这种标准化操作程序将有助于报告单张图像大腿 CT 特征的研究人员之间的一致性。试验注册:ClinicalTrials.gov NCT02308228。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b76/6366874/3a8139681222/pone.0211629.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b76/6366874/e029cd20ba6f/pone.0211629.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b76/6366874/3a8139681222/pone.0211629.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b76/6366874/e029cd20ba6f/pone.0211629.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b76/6366874/3a8139681222/pone.0211629.g002.jpg

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