摘要
目的:探讨CT图像容积纹理分析在肾透明细胞癌(CCRCC)病理分级中的应用价值。方法:回顾性分析经手术病理活检确诊为CCRCC的67例患者(68个病灶)的皮质期及实质期图像,ITK-Snap软件逐层手动勾画ROI,利用A.K.软件提取ROI纹理特征。先后使用三种方法依次对预处理后的数据进行降维:单因素方差分析及秩和检验、Spearman相关性分析、最小绝对收缩及选择算子即Lasso。筛选出的纹理特征在高、低级别CCRCC间的差异进行统计学分析,对其纹理参数绘制ROC曲线,获取其曲线下面积(AUC)、灵敏度、特异度,进行分析。结果:降维后,皮质期、实质期分别筛选出5、8个纹理特征;经两独立样本Mann-whitney U检验后,皮质期、实质期分别有4、5个纹理参数有统计学意义;通过ROC曲线进行比较,两个时相参数中均是Maximum 3DDiameter的病理分级评估效能最大,其皮质期、实质期AUC分别为0.879、0.883,分别以80.6536、68.1836为阈值,诊断的灵敏度分别为83.30%、91.70%,特异度分别为86.40%、81.80%;其余参数AUC均大于0.7,具有中等预测效能。结论:CT图像容积纹理分析可以用于肾透明细胞癌术前病理分级的预测。
Objective:To explore the value of CT volumetric texture analysis in pathological grade of clear cell renal cell carcinoma(CCRCC).Methods:The cortical phase and substantive phase CT images of 67 patients(68 lesions)diagnosed with CCRCC by surgery or pathological biopsy were retrospectively analyzed.The ITK-Snap software was used to manually outline the ROI layer by layer.The A.K.software was used for the ROI texture extraction.Three methods were used to reduce the dimension of the pre-processed data in turn:one-way ANOVA and rank sum test,Spearman correlation analysis,the least absolute shrinkage and selection operator(LASSO).The difference of selected texture features between high-level and low-level CCRCC was analyzed statistically.ROC curves were drawn to obtain the area under the curve(AUC),sensitivity and specificity.Results:5 and 8 texture features were screened out during dimensionality reduction,and 4 and 5 texture features had statistical significances after Mann-whitney U test in cortical phase and substantive phase,respectively.Maximum 3 DDiameter was the most effective parameter.Its AUC,sensitivity and specificity was respectively 0.879,83.30%,86.40%in cortical phase and 0.883,91.70%,81.80%in substantive phase.The AUC of other parameters were greater than 0.7,which showed medium prediction efficiency.Conclusion:Volume texture analysis of CT images can be used to predict the preoperative pathological grade of CCRCC.
作者
王元元
张祥林
吕晓虹
WANG Yuanyuan;ZHANG Xianglin(Department of Radiology,the First Hospital of Jinzhou Medical University,Jinzhou 121000)
出处
《陕西医学杂志》
CAS
2020年第3期304-308,312,共6页
Shaanxi Medical Journal
关键词
肾肿瘤
体层摄影术
X线计算机
纹理分析
肾细胞癌
病理分级
Kidney neoplasms
Tomography
X-ray computed
Texture analysis
Renal cell carcinoma
Pathological grade
