摘要
目的:探讨基于磁共振成像(magnetic resonance imaging,MRI)的纹理分析预测肝外胆管癌(extrahepatic cholangiocarcinoma,ECC)组织中血管内皮生长因子(vascular endothelial growth factor,VEGF)表达的价值。方法:回顾并分析经病理学检查证实的ECC患者70例,使用MaZda软件从MRI图像中提取纹理特征。筛选出最优纹理特征并将其纳入二元logistic回归模型进行分析。利用预测概率建立受试者工作特征(receiver operating characteristic,ROC)曲线评估预测效能。分析表观弥散系数(apparent diffusion coefficient,ADC)与VEGF表达的相关性。结果:最终有4个纹理特征符合标准并进行logistic回归分析,得出每例患者VEGF表达的预测概率。预测概率的ROC曲线的曲线下面积(area under cure,AUC)为0.708(P=0.003)。其诊断VEGF阳性的灵敏度、特异度、准确度分别为65.6%、78.9%、72.8%。VEGF阴性组及阳性组的ADC值分别为1368.2×10^(-6) mm^(2)/s、1292.2×10^(-6) mm^(2)/s,两组间差异无统计学意义(P=0.398)。结论:基于MRI的纹理分析有助于预测ECC的VEGF表达。
Objective:To explore the value of magnetic resonance imaging(MRI)based texture analysis in predicting the expression of vascular endothelial growth factor(VEGF)in extrahepatic cholangiocarcinoma(ECC).Methods:Seventy patients with ECC confirmed by pathology were retrospectively analyzed.The texture features were extracted from MRI images using Mazda software.After texture feature selection,binary logistic regression analysis was performed.Receiver operating characteristic(ROC)curve was established to evaluate the prediction efficiency.The correlation between apparent diffusion coefficient(ADC)and VEGF expression was analyzed.Results:Four texture features met the standard,and logistic regression analysis was performed to obtain the prediction probability of VEGF expression in each patient.The area under curve(AUC)of prediction probability was 0.708(P=0.003).The sensitivity,specificity and accuracy were 65.6%,78.9% and 72.8%,respectively.The ADC values of VEGF negative group and VEGF positive group were 1368.2×10^(-6) mm^(2)/s and 1292.2×10^(-6) mm^(2)/s,respectively.There was no significant difference between the two groups(P=0.398).Conclusion:MRI based texture analysis is helpful to predict the expression of VEGF in ECC.
作者
陈馨
舒健
黄新荞
杨春梅
CHEN Xin;SHU Jian;HUANG Xinqiao;YANG Chunmei(Department of Radiology,the Affiliated Hospital of Southwest Medical University,Luzhou 646000,Sichuan Province,China)
出处
《肿瘤影像学》
2021年第4期257-262,共6页
Oncoradiology
基金
四川省卫生健康委员会科研课题(19PJ151)
泸州市人民政府-西南医科大学联合项目(重点资助)(2019LZXNYDZ04)。
关键词
肝外胆管癌
纹理分析
血管内皮生长因子
弥散加权成像
Extrahepatic cholangiocarcinoma
Texture analysis
Vascular endothelial growth factor
Diffusion-weighted imaging
