Chinese Medical Sciences Journal ›› 2019, Vol. 34 ›› Issue (1): 24-32.doi: 10.24920/003562

• Original Articles • Previous Articles     Next Articles

Value of Texture Analysis on Gadoxetic Acid-enhanced MR for Detecting Liver Fibrosis in a Rat Model

Xu Jia1, Wang Xuan1, *(), Jin Zhengyu1, *(), You Yan2, Wang Qin1, Wang Shitian1, Xue Huadan1   

  1. 1 Department of Radiology,Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
    2 Department of Pathology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
  • Received:2019-01-21 Revised:2019-03-11 Online:2019-03-30 Published:2019-04-08
  • Contact: Wang Xuan,Jin Zhengyu E-mail:dr_wangxuan@163.com;jinzy_pumch@foxmail.com
  • Supported by:
    Supported by the National Science Foundation of China(Grant No. 81501446);the National Public Welfare Basic Scientific Research Program of Chinese Academy of Medical Sciences(2018PT32003);the National Public Welfare Basic Scientific Research Program of Chinese Academy of Medical Sciences(2017PT32004)
In this article, the authors found texture feature Entropy of gadoxetic acid-enhanced magnetic resonance imaging T1 mapping images to be a useful biomarker for the diagnosis of liver fibrosis in an experimental rat model. And the textural features from T1-weighted, T2-weighted and apparent diffusion coefficient maps were used to evaluate fibrosis as a comparison

Abstract:

Objective To explore the ability of texture analysis of gadoxetic acid-enhanced magnetic resonance imaging (MRI) T1 mapping images, as well as T1-weighted (T1W), T2-weighted (T2W) and apparent diffusion coefficient (ADC) maps for distinguishing between varying degrees of hepatic fibrosis in an experimental rat model.

Methods Liver fibrosis in rats was induced by carbon tetrachloride intraperitoneal injection for 4-12 weeks (n=30). In the control group (n=10) normal saline was applied. The MRI protocol contained T2W, diffusion weighted imaging, pre-and post-contrast image series of T1W and T1 mapping images. METAVIR score was used to grade liver fibrosis as normal (F0), mild fibrosis (F1-2), and advanced fibrosis (F3-4). Texture parameters including mean gray-level intensity (Mean), standard deviation (SD), Entropy, mean of positive pixels (MPP), Skewness, and Kurtosis were obtained. Nonparametric Mann-Whitney U test was used to compare the average value of each texture parameter in each sequence for assessing the difference between F0 and F≥1 as well as F0-2 and F3-4. Receiver operating characteristic (ROC) curves were obtained to assess the diagnosing accuracy of the parameters for differentiating no liver fibrosis from liver fibrosis and rats with liver fibrosis grading F0-2 from those with grading F3-4. The area under ROC curve (AUC) was calculated to evaluate the diagnostic efficiency of texture parameters.

Results Finally, 20 rats completed MR T1 mapping image scan. The pathologic staging of these 20 rats was no fibrosis (F0, n=6), mild fibrosis (F1-2, n=5) and advanced fibrosis (F3-4, n=9). On pre-contrast T1 mapping image, Entropy was seen to be statistically significant higher in the F≥1 group than that in the F0 group at each spatial scaling factor (SSF) setting (P=0.015, 0.015, 0.015, 0.013, 0.015 and 0.018 respectively to SSF=0, 2, 3, 4, 5, 6), and Mean of the F≥1 rats was statistically significant higher than that of the F0 rats at SSF 4, 5, 6 (P=0.004, 0.006, and 0.013, respectively). Entropy and Mean showed a moderate diagnostic performance in most SSF settings of T1 mapping pre-contrast images for differentiation of normal liver from liver fibrosis.

Conclusion Certain texture features of gadoxetic acid-enhanced MR images, especially the Entropy of non-contrast T1 mapping image, was found to be a useful biomarker for the diagnosis of liver fibrosis.

Key words: liver fibrosis, magnetic resonance imaging, texture analysis, Entropy, T1 mapping

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