摘要
目的:初步探讨核磁共振动态增强扫描的一阶纹理特征预测乳腺癌分子分型可行性。方法:回顾性分析229例确诊乳腺癌患者的临床及影像资料,选取肿瘤最大层面磁共振动态增强三分钟左右图像,导入MaZda软件,手动勾画感兴趣区并提取9个一阶纹理特征(Mean、Variance、Kurtosis、Skewness、Perc 1%、Perc 10%、Perc 50%、Perc 90%、Perc 99%),比较乳腺癌四种分子分型的一阶纹理特征。结果:峰值(Kurtosis)及偏度(Skewness)在乳腺癌四种分子分型之间有统计学差异,峰值和偏度在鉴别Luminal A型与Luminal B型及HER-2过表达型有统计学意义。结论:乳腺癌DCE-MRI图像一阶纹理特征有助于预测乳腺癌分子分型。
Objective:To explore the feasibility of predicting molecular subtypes of breast cancer by first-order texture features of dynamis contrast-enhanced magnetic resonance imaging(DCE-MRI).Methods:Clinical and imaging data of 229 diagnosed breast cancer patients were retrospectively analyzed. Dynamic enhanced 3-minute on the maximum level of tumor were selected and imported into MaZda software. Region of interest(ROI)were draw by manually, 9 first-order texture features(including Mean, Variance, Kurtosis, Skewness, Perc 1%, Perc 10%, Perc 50%, Perc 90%, Perc 99%)were extracted, and compared the first-order texture features of four molecular types of breast cancer.Results:There were differences in Kurtosis and Skewness of four molecular types of breast cancer. There were statistically significant in Kurtosis and Skewness compare Luminal A type with Luminal B type and HER-2 type.Conclusion:The first-order texture features of DCE-MRI are helpful to predict the molecular subtypes of breast cancer.
作者
王兰兰
侯静
金科
Wang Lanlan;Hou Jing;Jin Ke(Department of Radiology,School of Pediatrics,University of South China(Hunan Children's Hospital),Changsha,Hunan 410007;The Radiological Diagnosis Center,Hunan Cancer Hospital,Changsha,Hunan 410013)
出处
《现代医用影像学》
2022年第4期595-599,共5页
Modern Medical Imageology
关键词
乳腺癌
分子分型
动态增强扫描
纹理分析
breast cancer
molecular subtypes
dynamic contrast-enhanced magnetic resonance imaging
texture analysis
