Boston University Medical Center, Department of Radiology, FGH Building, 3rd Floor, 820 Harrison Avenue, Boston, MA 02218, USA.
Magn Reson Imaging. 2014 Jan;32(1):84-90. doi: 10.1016/j.mri.2013.04.006. Epub 2013 Nov 12.
The purpose of this study was to evaluate the potential utility of texture analysis of parametric apparent diffusion coefficient (ADC) maps in quantifying hepatic fibrosis. To this end, using ex vivo murine liver tissues from a dietary model of hepatic fibrosis, an array of texture analysis techniques, including histogram-based, gray-level co-occurrence matrix-based, and gray-level run-length-based features, was used to evaluate correlations with liver fibrosis. Moderate to very strong correlation between several of the texture-based features and both subjective as well as digital image analysis-based assessments of hepatic fibrosis was demonstrated. This rigorous study of texture analysis applied to parametric ADC maps in a liver fibrosis model study demonstrates and validates the potential utility of texture-based features for the noninvasive, quantitative assessment of hepatic fibrosis.
本研究旨在评估参数表观扩散系数（ADC）图纹理分析在量化肝纤维化中的潜在效用。为此，使用膳食诱导肝纤维化的小鼠离体肝组织，采用一系列纹理分析技术，包括基于直方图、基于灰度共生矩阵和基于灰度游程长度的特征，评估与肝纤维化的相关性。多项纹理特征与肝纤维化的主观评估和数字图像分析评估之间存在中度至非常强的相关性。这项针对肝纤维化模型研究中参数 ADC 图纹理分析的严格研究表明并验证了基于纹理特征的用于无创、定量评估肝纤维化的潜在效用。
