Value of multi-modality radiomics in predicting the preoperative lymph node metastasis of mass type breast cancer

ObjectiveTo explore the value of multi-modality radiomics based on mammography and MRI in predicting the preoperative lymph node metastasis in mass type breast cancer.

MethodsThe clinical data of 111 mass type breast cancer patients(114 lesions) detected by mammography and MRI were collected.All patients were randomly divided into the training group and validation group according to the ratio of 8:2.The radiomics features were segmented and extracted from all images.The minimum and maximum normalization, Select K Best and least absolute shrinkage and selection operator were used to obtain the optimal features to establish the mammography, MRI and mammography combined with MRI prediction model.The efficiency of model was evaluated using the area under receiver operating characteristic(ROC) curve(AUC).

ResultsThe AUC values of the mammography, MRI and mammography combined with MRI model in the training group and validation group were(0.76, 0.82 and 0.89, respectively) and(0.74, 0.81 and 0.88, respectively).The AUC value and efficiency of mammography combined with MRI model were the highest.The lesion size in positive axillary lymph node group was greater than that in negative axillary lymph node group(P < 0.01).

ConclusionsThe multi-modality radiomics model based on mammography combined with MRI can better predict the preoperative lymph node metastasis of mass type breast cancer.