| Objective To further improve the diagnostic accuracy of breast cancer by application of multi-modality MRI, including diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE) scanning, in the detection of patients with breast cancer and the analysis of characteristics of the MRI images. Methods The multi-modality MRI data of 16 female patients with breast cancer, diagnosed by preoperative MRI and postoperative pathological examination or biopsy in our hospital from Jan 2012 to Aug 2016, were retrospectively analyzed. Values of apparent diffusion coefficient (ADC) and relative apparent diffusion coefficient (rADC) were calculated, and dynamic time-signal intensity curve (TIC) was constructed. Results In the MRI images of 16 patients, lesions often tended to be lobulated, spiculated (75.0%) and ill-defined. Their ADC and rADC values were (0.92±0.19)×10-3 mm2/s and (0.56±0.13)×10-3 mm2/s, respectively. As for TIC, 4 cases of type Ⅱ (25.0%) and 12 cases of type Ⅲ (75.0%) were found, with no case of type I. Conclusion When applied in detection of breast cancer, multi-modality MRI, combining with morphological change of lesions, TIC curve of DCE-MRI and ADC value, may improve the diagnostic accuracy of breast cancer. |
