Clinical radiomics fusion model for predicting disease-free survival of invasive breast cancer
Objective To construct a preoperative clinical radiomics fusion model and evaluate its efficacy in predicting disease-free survival of invasive breast cancer.Methods A total of 131 female patients with invasive breast cancer who underwent dynamic enhancement MRI before surgery in The First Affiliated Hospital of Zhejiang Chinese Medical University from July 2015 to May 2017 were retrospectively analyzed.Patients were randomly divided into a training set(n=91)and a validation set(n=40)according to the ratio of 7:3.The imaging features of the original mass and the intratumoral plus peritumoral images were extracted from the tumor and the tumor expanded outward by 5 mm,respectively.After using F test and logistic regression analysis to reduce the radiomics features,the radiomics models were established respectively.Multivariate Cox proportional risk model was used to analyze the relationship between clinicopathological factors and disease-free survival,and to identify effective predictors to establish a clinical model.The fusion model was established by combining the Radscore of the optimal radiomics model with independent clinicopathological risk factors.ROC curve was used to evaluate the predictive efficiency of radiomics models and fusion model.Results In the validation set,the ROC curve AUC(95％ CI)of the clinical feature model,original tumor radiomics model,intratumoral plus peritumoral radiomics model,and fusion model were 0.791(0.690-0.893),0.898(0.839-0.956),0.930(0.878-0.983),and 0.969(0.941-0.996),respectively.The sensitivity was 0.789,0.895,0.842,and 0.947,respectively,and the specificity was 0.714,0.821,0.857,and 0.938,respectively,among which,the fusion model showed the best predictive efficiency.Conclusion The clinical radiomics fusion model based on preoperative MRI imaging features has high predictive efficacy for the recurrence of patients with invasive breast cancer,and has certain value for the prediction of disease-free survival and personalized treatment of breast cancer.
Invasive breast cancerMagnetic resonance imagingRecurrenceDisease-free survival
万方数据
维普
