Value of DCE-MRI Imaging and Combined Clinical Features in Differentiating Luminal and Non-luminal Breast Cancer
Objective To explore the value of DCE-MRI radiomics combined with clinical features in the preoperative differential diagnosis of luminal and non-Luminal breast cancer.Methods The images of 212 patients with breast cancer who underwent DCE-MRI examination and obtained pathological results from Inner Mongolia Autonomous Region People's Hospital from January 2014 to August 2023 were retrospectively analyzed.According to the pathological molecular classification,114 cases of luminal breast cancer and 98 cases of non-Luminal breast cancer were classified.According to the ratio of 7:3,148 cases were training group and 64 cases were verification group.3D-slicer software was used to manually delineate the focal volume area of interest(VOI),and the imaging omics features were extracted and screened in batches by LASSO regression and T test.Valuable imaging omics features and clinical features were screened out,and two prediction models were constructed:pure radiomics model and combined radiomics clinical feature model.The area under ROC curve,accuracy,sensitivity,specificity and calibration curve were used to evaluate the diagnostic efficiency of luminal and non-Luminal breast cancer by the imaging features and combined clinical features of the training set.Results AUC value of pure radiomics model was 0.850,accuracy 0.790,sensitivity 0.820 and specificity 0.765.The AUC value of radiomic features combined with clinical features was 0.856,the accuracy was 0.783,the sensitivity was 0.791,and the specificity was 0.776.Clinical features such as menopausal status(P=0.009)and lymph node metastasis(P=0.012)had statistical significance,while age(P=0.165)and pathological type(P=0.687)had no statistical significance.Conclusion The radiomic features and combined clinical features based on DCE-MRI are of great value in differentiating luminal and non-luminal breast cancer before surgery.
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