摘要
目的探讨基于动态对比增强磁共振成像(DCE⁃MRI)和扩散加权成像(DWI)影像组学特征术前预测乳腺癌人表皮生长因子受体⁃2(HER⁃2)低表达的临床应用价值。方法回顾性搜集299例经本院病理证实为乳腺癌患者的首次MRI及临床病理资料,将患者分为HER⁃2低表达组(n=144)和HER⁃2非低表达组(n=155);按照8∶2比例随机将其分为训练集(n=239)和测试集(n=60)。采用ITK⁃SNAP软件手动逐层勾画DCE⁃MRI和DWI图像上病灶的感兴趣区(ROI),并提取影像组学特征。采用Mann⁃Whitney U检验、Z分数归一化、方差阈值、K最佳、最小绝对收缩和选择算子(LASSO)筛选特征,并建立DCE⁃MRI、DWI及二者联合模型。应用受试者工作特征曲线(ROC)的曲线下面积(AUC)、敏感度、特异度、准确率评估模型的预测效能。结果基于DCE⁃MRI、DWI、二者联合模型术前预测HER⁃2低表达的AUC值在训练集和测试集中分别为0.754、0.775、0.843和0.774、0.645、0.795。结论基于DCE⁃MRI、DWI组学特征模型均可术前无创性预测乳腺癌HER⁃2低表达状态,且以二者联合模型预测效能最佳,可为临床乳腺癌治疗方案的选择提供参考。
Objective The initial MRI and clinicopathological data of 299 patients with breast cancer confirmed by pathology in our hospital were retrospectively collected.The patients were divided into low⁃HER⁃2 expression group(n=144)and non⁃low⁃HER⁃2 expression group(n=155).They were randomly divided into training set(n=239)and testing set(n=60)according to the ratio of 8∶2.ITK⁃SNAP software was used to manually delineate the region of interest(ROI)of the lesions on DCE⁃MRI and DWI images,which were used to extract radiomics features.The methods of Mann⁃Whitney U test,Z⁃score normalization,variance threshold,K⁃best,least absolute shrinkage and selection operator(LASSO)were used to select radiomics features.The models of DCE⁃MRI,DWI and DCE⁃MRI combined DWI were established.The area under the curve(AUC)of receiver operating characteristic(ROC),sensitivity,specificity and accuracy were used to evaluate the predictive performance of the models.Results The AUC values of predictive models of HER⁃2 low expression based on DCE-MRI,DWI,and the combined models in the trainning and testing sets were 0.754,0.775,0.843 and 0.774,0.645,0.795,respectively.Conclusion Both radiomics feature models based on DCE⁃MRI and DWI could preoperative predict HER⁃2 low expression status noninvasively in breast cancer,especially for the combined model,which could be helpful for the selection of clinical treatment in breast cancer.
作者
尚怡研
王贇霞
郭亚欣
李晓栋
闫峰山
王梅云
谭红娜
SHANG Yiyan;WANG Yunxia;GUO Yaxin(Department of Radiology,People’s Hospital of Henan University(Henan Provincial People's Hospital),Zhengzhou,Henan Province 450003,P.R.China)
出处
《临床放射学杂志》
北大核心
2024年第8期1286-1291,共6页
Journal of Clinical Radiology
基金
河南省自然科学基金面上项目(编号:202300410081)
河南省医学科技攻关计划项目(编号:LHGJ20220055)。
关键词
乳腺癌
人表皮生长因子受体⁃2
磁共振成像
扩散加权成像
影像组学
Breast cancer
Human epidermal growth factor receptor⁃2
Magnetic resonance imaging
Diffusion weighted imaging
Radiomics
