Objective Based on dynamic contrast enhancement-magnetic resonance imaging(DCE-MRI)sequence and diffusion weighted imaging(DWI),DWI sequence to construct a radiomics model to explore its value in the differential di-agnosis of benign and malignant breast masses less than 2 cm in diameter.Methods A total of 122 patients admitted to our hospital from January 2019 to August 2022 were selected.All patients underwent MRI examination,and the diameter of the tumor was less than 2 cm.The images of all patients were uploaded to Huiyin big data platform with digital imaging and communications in medicine(DICOM),and the region of interest(ROI)was delineated on DWI and DCE phase 3 images layer by layer using the double-blind method,and then all rois delineated by the lesion were fused into Three dimensional volume region of interest(3D-VOI)for omics analysis.The dataset was randomly divided into training set and test set ac-cording to 4∶ 1.Logistic regression(LR)classifier was used to construct DCE,DWI and DCE-DWI combined discrimination models.The area under the curve(AUC),accuracy,specificity and sensitivity of the three models were compared.Re-sults According to the pathological results,the 122 patients were divided into benign group(n =42)and malignant group(n =80).The AUC value of the radiomics model constructed by DCE was 0.83(0.65-1.00),the accuracy was 67% ,the specificity was81% ,and the sensitivity was 67% .The AUC,accuracy,specificity and sensitivity of the radiomics model constructed by DWI in identifying small breast masses were 0.81(0.67-0.98),64% ,78% and 75% ,respectively.The AUC value of the combined model of DCE and DWI was0.93(0.80-1.00),the accuracy was 80% ,the specificity was 88% ,and the sensitivity was 89% .Conclusion The combination of DCE-MRI and DWI has a higher value in noninva-sive differential diagnosis of small breast masses.
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