CT纹理分析对鉴别直肠癌患者K-ras基因突变的可行性研究

发布时间：2018-03-15 21:36

本文选题：直肠癌　切入点：纹理分析　出处：《放射学实践》2017年12期 　论文类型：期刊论文

【摘要】：目的:探讨CT纹理分析(CTTA)技术对鉴别直肠癌患者K-ras基因突变的可行性研究。方法:回顾性分析33例经病理证实的直肠癌患者的CT图像,其中K-ras突变型18例、野生型15例。使用TexRad软件对病灶最大层面的平扫及门静脉期图像进行分析,获得基于不同空间缩放因子(SSF=0和2~6)的6个特征性纹理参数值,包括均值(mean)、标准差(standard deviation,SD)、熵值(entropy)、偏度值(skewness)、峰值(kurtosis)及正像素均值(mean of positive pixels,MPP)。比较两组间各参数值的差异。结果:平扫CT图像:当SSF取2~4时,野生型组中病灶的熵值(分别为4.3、4.2、4.3)高于突变型(分别为4.1、4.0和4.0),差异均有统计学意义(P0.05);当SSF=2、熵取界值4.245时,诊断敏感度及特异度均为73.3%;当SSF=3、熵取界值4.095时,诊断敏感度及特异度分别为80.0%、61.1%;当SSF=4、熵取界值4.205时,诊断敏感度为73.3%、特异度为72.2%。增强CT图像上各纹理参数值在两组间的差异均无统计学意义(P0.05)。结论:CT纹理分析能够对预测直肠癌患者有无K-ras基因突变提供一定的诊断信息。
[Abstract]:Objective: to investigate the feasibility of CT texture analysis (CTTAA) technique in differentiating K-ras gene mutation in rectal cancer patients. Methods: Ct images of 33 patients with rectal cancer confirmed by pathology were retrospectively analyzed, including 18 cases of K-ras mutation. In 15 cases of wild type, 6 characteristic texture parameters based on different spatial scaling factors (SSF0 and 2X6) were obtained by using TexRad software to analyze plain scan and portal phase images of the largest level of lesions. It includes mean, standard deviation, entropy, skewness, skewnessi) and positive pixel mean mean of positive pixels / MPPs. Results: plain scan CT images: when SSF is 2 ~ 4:00, In the wild type group, the entropy value of the lesion (4.3 / 4.2 / 4.3) was higher than that of the mutant type (4.1g / 4.0 and 4.0g / L, respectively), the difference was statistically significant (P < 0.05); when SSF2, the entropy cutoff value was 4.245, the diagnostic sensitivity and specificity were all 73.3%, and when SSF3, the entropy was 4.095, the diagnostic sensitivity and specificity were 73.3% and 4.09 5, respectively. The diagnostic sensitivity and specificity were 80.0 and 61.1, respectively. The diagnostic sensitivity was 73.3% and the specificity was 72.2%. There was no significant difference between the two groups in the texture parameters of enhanced CT images. Conclusion Twain CT texture analysis can provide diagnostic information for predicting K-ras gene mutation in rectal cancer patients.
【作者单位】：中国医学科学院北京协和医学院北京协和医院放射科;中国医学科学院北京协和医学院北京协和医院病理科;
【基金】：国家自然科学基金(81401496)
【分类号】：R730.44;R735.37

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