Value of 3.0T MR Diffusion Weighted Imaging in the Diagnosis of
Breast Invasive Ductal Cancer
ZENG Yinglang1, LIU Changhua2, KUANG Fei2, FENG Hao2
Author information+
1. Medical Imaging Center, Xiamen Humanity Hospital, Xiamen Fujian 361000, China; 2. Department of Medical Imaging, The 174th
Hospital of Chinese People’s Liberation Army (Chenggong Hospital Affiliated of Xiamen University), Xiamen Fujian 361003, China
Objective To retrospectively analyze the diagnostic value of 3.0T MR diffusion weighted imaging in breast invasive
ductal carcinoma. Methods A total of 106 patients with young breast lesions confirmed by surgical pathology in our hospital were
enrolled. All patients underwent 3.0T MR diffusion weighted imaging and X-ray examination to analyze the MRI features of the lesions.
Results There were significant differences in the morphological features and marginal features between benign and malignant lesions
in young patients (P<0.05). The distribution of T1WI and T2WI signal intensity in young benign and malignant breast lesions
was different, but there was no statistically significant difference in these two indicators between benign and malignant
breast lesions (P>0.05). The ADC value of malignant lesions was significantly lower than that of benign lesions (P<0.05). 3.0T MR
diffusion weighted imaging showed that the sensitivity, specificity, positive predictive value, negative predictive value and accuracy
of diagnosis of breast invasive ductal carcinoma were 97.6%, 77.8%, 87.2%, 95.5% and 89.9%, respectively, which were higher than
those of X-ray examination. Conclusion 3.0T MR diffusion weighted imaging can provide an important basis for the diagnosis of
invasive ductal carcinoma of the breast, which can improve the differential diagnosis of the disease.
ZENG Yinglang, LIU Changhua, KUANG Fei, et al. , {{custom_author.name_en}}et al.
Value of 3.0T MR Diffusion Weighted Imaging in the Diagnosis of
Breast Invasive Ductal Cancer[J].
China Medical Devices, 2019, 34(10): 79-81 https://doi.org/10.3969/j.issn.1674-1633.2019.10.021