[Value of texture analysis in evaluating liver cancer recurrence after transarterial chemoembolization]

Zhonghua Gan Zang Bing Za Zhi. 2017 Mar 20;25(3):200-204. doi: 10.3760/cma.j.issn.1007-3418.2017.03.008.
[Article in 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.

目的: 探讨CT增强纹理分析预测肝癌经动脉化学栓塞治疗(TACE)术后患者早期复发的可行性。 方法: 回顾性分析TACE术前行上腹部CT增强检查、经穿刺病理、数字减影血管造影证实的肝癌患者47例,以半年内有无局灶性复发为界,分为早期复发(ER)与非早期复发(NER)两组,应用纹理分析在肝癌术前CT轴位增强图像上逐层勾画肿瘤边界,统计得到两组患者整个瘤体异质性的相关参数:熵值、平均值、不均匀度、偏度及峰度等。采用独立样本t检验对两组间纹理分析参数进行比较,对熵值、均数及不均匀度三组参数进行受试者工作特征曲线分析,分别计算曲线下面积、最佳截断点、敏感度及特异度,评价其对TACE术后早期局灶性复发的预测效能。 结果: ER组20例,NER组27例。ER组肿瘤最大径线明显大于NER组,最大长径分别为(88.2± 36.3)mm、(41.4±21.4)mm,短径分别为(66.9±30.2)mm、(29.3±19.8)mm,差异有统计学意义(t值分别为4.89、4.62,P<0.001)。ER组中熵值及不均匀度明显高于NER组,均值在ER组中偏低;而两组间偏度和峰度差异无统计学意义。熵值、不均匀度及均数对TACE术后早期复发具有较高的预测效能,熵值最佳截断点为4.135。 结论: 通过术前肝癌CT增强图像的容积纹理分析,对TACE术后早期复发具有较高的预测价值。.

Keywords: Carcinoma, hepatocellular; Texture analysis; Transarterial chemoembolization.

MeSH terms

  • Angiography, Digital Subtraction / methods*
  • Antineoplastic Agents / administration & dosage
  • Carcinoma, Hepatocellular / diagnostic imaging*
  • Carcinoma, Hepatocellular / therapy*
  • Chemoembolization, Therapeutic / methods*
  • Contrast Media
  • Female
  • Humans
  • Liver Neoplasms / diagnostic imaging*
  • Liver Neoplasms / pathology
  • Liver Neoplasms / therapy*
  • Male
  • Middle Aged
  • Neoplasm Recurrence, Local*
  • ROC Curve
  • Retrospective Studies
  • Sensitivity and Specificity
  • Tomography, X-Ray Computed / methods*
  • Treatment Outcome

Substances

  • Antineoplastic Agents
  • Contrast Media