Value of texture analysis in evaluating liver cancer recurrence after transarterial chemoembolization
10.3760/cma.j.issn.1007-3418.2017.03.008
- VernacularTitle: 纹理分析对经动脉化学栓塞治疗术后肝癌复发的评价
- Author:
Ru WANG
1
;
Xiaoying YANG
1
;
Keying WANG
1
;
Shan WANG
1
;
Qing LI
1
;
Jiangfen WU
2
;
Huiting XU
1
;
Yue DAI
1
;
Cuiping HAN
1
;
Kai XU
1
;
Gaohong CHEN
1
Author Information
1. Department of radiology, Affiliated Hospital of Xuzhou Medical College, Xuzhou 221002, China
2. Ge Pharmaceutical (Shanghai) Co., Ltd, Shanghai 201203, China
- Publication Type:Journal Article
- Keywords:
Carcinoma, hepatocellular;
Texture analysis;
Transarterial chemoembolization
- From:
Chinese Journal of Hepatology
2017;25(3):200-204
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the feasibility of contrast-enhanced computer tomography (CT) texture analysis in predicting early recurrence after transarterial chemoembolization (TACE) in patients with liver cancer.
Methods:A retrospective analysis was performed for 47 patients with liver cancer confirmed by liver biopsy and digital subtraction angiography who underwent upper abdominal contrast-enhanced CT scan before TACE, and according to the presence or absence of focal recurrence within half a year, these patients were divided into early recurrence (ER) group and non-early recurrence (NER) group. The texture analysis was used to delineate tumor boundary layer by layer on the axial contrast-enhanced CT image before liver cancer surgery, and related parameters of tumor heterogeneity, including entropy, mean, non-uniformity, skewness, and kurtosis, were obtained. The independent samples t-test was used for comparison of texture parameters between the two groups. The receiver operating characteristic (ROC) curve was used for the analysis of entropy, mean, and non-uniformity, and the area under the ROC curve (ROC), optical cut-off value, sensitivity, and specificity were calculated to evaluate the efficiency of texture analysis in predicting early focal recurrence after TACE.
Results:There were 20 patients in the ER group and 27 in the NER group. The ER group had a maximum major axis length of 88.2±36.3 mm and a maximum minor axis length of 41.4±21.4 mm, and the NER group had a maximum major axis length of 66.9±30.2 mm and a maximum minor axis length of 29.3±19.8 mm; the ER group had significantly higher maximum major and minor axis lengths than the NER group (t = 4.89 and 4.62, P < 0.001). The ER group had significantly higher entropy and non-uniformity values than the NER group, and there were no significant differences in skewness and kurtosis between the two groups. Entropy, non-uniformity, and mean had high efficiency in predicting early recurrence after TACE, and the optimal cut-off value of entropy was 4.135.
Conclusion:Volumetric texture analysis of contrast-enhanced CT images before liver cancer surgery has a high value in predicting early recurrence after TACE.
