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使用 T1 加权图像进行肌萎缩性侧索硬化症患者和志愿者的纹理分析。

Texture analysis using T1-weighted images for muscles in Charcot-Marie-Tooth disease patients and volunteers.

机构信息

Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Ilwon-Ro, Gangnam-gu, Seoul, 06351, South Korea.

Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Ilwon-Ro, Gangnam-gu, Seoul, 06351, South Korea.

出版信息

Eur Radiol. 2021 May;31(5):3508-3517. doi: 10.1007/s00330-020-07435-y. Epub 2020 Oct 30.

Abstract

OBJECTIVES

To explore whether texture features using T1-weighted images correlate with fat fraction, and whether they differ between Charcot-Marie-Tooth (CMT) disease patients and volunteers.

METHODS

The institutional review board approved this retrospective study, and the requirement for informed consent was waived; data of eighteen CMT patients and eighteen healthy volunteers from a previous study was used. Texture features of the muscles including mean, standard deviation (SD), skewness, kurtosis, and entropy of the signal intensity were derived from T1-weighted images. Spearman's correlation analysis was used to assess the relationship between texture features and fat fraction measured by 3D multiple gradient echo Dixon-based sequence. Mann-Whitney U test was used to compare the texture features between CMT patients and volunteers. Intraobserver and interobserver agreements for the texture features were assessed using the intraclass correlation coefficient.

RESULTS

The SD (ρ = 0.256, p < 0.001) and entropy (ρ = 0.263, p < 0.001) were significantly and positively correlated with fat fraction; skewness (ρ = - 0.110, p = 0.027) and kurtosis (ρ = - 0.149, p = 0.003) were significantly and inversely correlated with fat fraction. The CMT patients showed a significantly higher SD (63.45 vs. 49.26; p < 0.001), skewness (1.06 vs. 0.56; p < 0.001), kurtosis (4.00 vs. 1.81; p < 0.001), and entropy (3.20 vs. 3.02; p < 0.001) than did the volunteers. Intraobserver and interobserver agreements were almost perfect for mean, SD, and entropy.

CONCLUSIONS

Texture features using T1-weighted images correlated with fat fraction and differed between CMT patients and volunteers.

KEY POINTS

• Standard deviation and entropy of muscles derived from T1-weighted images were significantly and positively correlated with the muscle fat fraction. • Mean, standard deviation, and entropy were considered highly reliable in muscle analyses. • Texture features may have the potential to diagnose early stage of intramuscular fatty infiltration.

摘要

目的

探讨 T1 加权图像的纹理特征是否与脂肪分数相关,以及它们在 Charcot-Marie-Tooth (CMT) 病患者和志愿者之间是否存在差异。

方法

本回顾性研究经机构审查委员会批准,豁免了知情同意的要求;使用了先前研究中 18 名 CMT 患者和 18 名健康志愿者的数据。从 T1 加权图像中提取肌肉的平均、标准差(SD)、偏度、峰度和熵等纹理特征。采用 Spearman 相关分析评估纹理特征与 3D 多梯度回波 Dixon 序列测量的脂肪分数之间的关系。采用 Mann-Whitney U 检验比较 CMT 患者和志愿者之间的纹理特征。采用组内相关系数评估纹理特征的观察者内和观察者间一致性。

结果

SD(ρ=0.256,p<0.001)和熵(ρ=0.263,p<0.001)与脂肪分数呈显著正相关;偏度(ρ=-0.110,p=0.027)和峰度(ρ=-0.149,p=0.003)与脂肪分数呈显著负相关。CMT 患者的 SD(63.45 比 49.26;p<0.001)、偏度(1.06 比 0.56;p<0.001)、峰度(4.00 比 1.81;p<0.001)和熵(3.20 比 3.02;p<0.001)显著高于志愿者。观察者内和观察者间对均值、SD 和熵的一致性几乎为完美。

结论

T1 加权图像的纹理特征与脂肪分数相关,并且在 CMT 患者和志愿者之间存在差异。

关键点

  • T1 加权图像衍生的肌肉标准差和熵与肌肉脂肪分数呈显著正相关。

  • 均值、标准差和熵在肌肉分析中被认为具有高度可靠性。

  • 纹理特征可能有潜力诊断肌肉内脂肪浸润的早期阶段。

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