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• Clinical Article •
The value of texture analysis of dynamic contrast-enhanced MRI in differentiating AFP negative hepatocellular carcinoma from focal nodular hyperplasia
DU Wenzhuang  PU Rujian  LIANG Jie  JU Wenping  WANG Wengang  WANG Xianliang 

Cite this article as: Du WZ, Pu RJ, Liang J, et al. The value of texture analysis of dynamic contrast-enhanced MRI in differentiating AFP negative hepatocellular carcinoma from focal nodular hyperplasia. Chin J Magn Reson Imaging, 2020, 11(9): 765-770. DOI:10.12015/issn.1674-8034.2020.09.009.


[Abstract] Objective: To explore the feasibility of texture analysis derived from dynamic-contrast enhanced MRI (DCE-MRI) in differentiating alpha-feto protein (AFP) negative hepatocellular carcinoma (HCC) from focal nodular hyperplasia (FNH).Materials and Methods: DCE-MRI data of 20 AFP negative HCC patients (21 lesions) and 19 FNH patients (22 lesions) confirmed by pathology were retrospectively analyzed. Texture parameters of arterial phase, portal phase and equilibrium phase images were extracted respectively from manually drawn ROIs delineated on the maximum cross-sectional image of the lesion with software MaZda. The texture parameters were screened by using mutual information (MI), classification error probability combined with average correlation coefficients (POE+ACC), Fishers coefficient (Fisher) and the combination of the above three methods (MPF). The texture parameters discrimination and classification methods included linear discriminant analysis (LDA), nonlinear discriminant analysis (NDA), principal component analysis (PCA) and raw data analysis (RDA). Two radiologists with more than 10 years of working experience in abdominal group were requested to evaluate all the images and give diagnostic opinion. The results were expressed by misclassification rate, and the differences between radiologists' diagnostic results and texture analysis results were compared.Results: The texture features for differentiating AFP negative HCC and FNH were mainly came from equilibrium phase sequence which had the lowest misclassification rate 2.33% (1/43), lower than that of radiologists diagnosis 20.93% (9/43), and the difference was statistically significant (P=0.007). In the texture parameter selection methods, MPF (2.33%—18.60%) had lower misclassification rate than MI (6.98%—23.26%), POE+ACC (4.65%—25.58%), Fisher (9.30%—23.36%). Among the texture parameter classification methods, the misclassification rate of NDA (2.33%—9.30%) was lower than RDA (18.60%—25.58%), PCA (11.63%—23.26%), LDA (2.33%—13.95%), and the misclassification rate of NDA was similar to LDA.Conclusions: The texture analysis based on DCE-MRI has certain value in differentiating AFP negative HCC from FNH.
[Keywords] carcinoma, hepatocellular；focal nodular hyperplasia；magnetic resonance imaging；texture analysis

DU Wenzhuang School of Medical Imaging, Weifang Medical University, Weifang 261053, China

PU Rujian School of Medical Imaging, Weifang Medical University, Weifang 261053, China

LIANG Jie Department of Medical Imaging, the People's Hospital of Weifang, Weifang 261041, China

JU Wenping Department of Medical Imaging, the People's Hospital of Weifang, Weifang 261041, China

WANG Wengang Department of Medical Imaging, the People's Hospital of Weifang, Weifang 261041, China

WANG Xianliang* Department of Medical Imaging, the People's Hospital of Weifang, Weifang 261041, China

*Correspondence to: Wang XL, E-mail: wangxianliang2011@126.com

Conflicts of interest   None.

Received  2020-04-20
Accepted  2020-07-18
DOI: 10.12015/issn.1674-8034.2020.09.009
Cite this article as: Du WZ, Pu RJ, Liang J, et al. The value of texture analysis of dynamic contrast-enhanced MRI in differentiating AFP negative hepatocellular carcinoma from focal nodular hyperplasia. Chin J Magn Reson Imaging, 2020, 11(9): 765-770. DOI:10.12015/issn.1674-8034.2020.09.009.

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