Abstract: Objective To explore the application value of 3.0 T intensity magnetic resonance diffusion weighted imaging and dynamic enhanced scanning in breast cancer.Methods A total of 188 patients with 210 breast tumors(136 malignant and 74 benign)were selected from Baoding Second Hospital from December 2016 to December 2019 by using Siemens 3.0 T magnetic resonance.According to breast imaging reporting and data system(BI-RADS)grading and diffusion weighted imaging(DWI)description indexes, both mass(n=182)and non-mass(n=28)were labeled on dynamic Contrast-enhanced(DCE)scans and T₂-weighted imaging.Meanwhile, the characteristics of DCE, T₂-weighted imaging and apparent diffusion coefficient(ADC)in BI-RADS description indicators were used to distinguish benign and malignant lesions, and the ADC cut-off value ≤1.255×10^-3 mm²/s was used as the standard.The results were compared with the pathological results of surgery or puncture biopsy and analyzed statistically.Results In model 1, ADCmean(P<0.003), DCE mass margin(P=0.002), and DCE plateau or outflow enhancement(P=0.001)were significantly and independently associated with the diagnosis of breast cancer.Model 2 determined that ADCmean(P=0.001), DCE mass margin(P=0.001), early rapid enhancement(P=0.042), and DCE plateau or outflow enhancement(P=0.001)were significantly independently associated with breast cancer diagnosis.T₂-weighted imaging variables were not included in the final model.Conclusion Using 3.0 T magnetic resonance and multichannel breast coil examination, the quantitative and qualitative descriptive index models in DCE and DWI can achieve accurate diagnosis of breast cancer, and the combined application can significantly improve the diagnostic accuracy of breast cancer.T₂-weighted imaging does not significantly contribute to the diagnosis of breast cancer.

Key words: breast cancer, dynamic enhanced scanning, diffusion-weighted imaging, T₂-weighted imaging, 3.0 T magnetic resonance, breast imaging reporting and data system