Differentiation of breast fibroadenoma from breast cancer in DCE-TIC platform type with MRI
10.16571/j.cnki.1008-8199.2017.02.014
- VernacularTitle:MRI对动态增强时间-信号曲线呈平台型乳腺纤维腺瘤及乳腺癌的鉴别诊断
- Author:
Yaping ZHANG
;
Guang DONG
;
Jiaqiu NIE
;
Hai GENG
;
Min ZHANG
- Keywords:
Breast fibroadenoma;
Magnetic resonance imaging;
Time-signal intensity curve
- From:
Journal of Medical Postgraduates
2017;30(2):177-180
- CountryChina
- Language:Chinese
-
Abstract:
Objective Differentiation of breast fibroadenoma from breast cancer is of great importance. The purpose of the ar-ticle was to evaluate the diagnostic efficacy of magnetic resonance imaging(MRI) in the differentiation of breast fibroadenoma from breast cancer in DCE-TIC ( dynamic contrast enchancement-time intensity curve) platform type ( typeⅡ) . Methods Between March 2014 and May 2016, 64 patients were included in our study, 19 patients with breast fibroadenoma and 45 patients with breast cancer. All the patients underwent DCE-MRI ( dynamic contrast-enhanced magnetic resonance imaging) examination before operation. Morpho-logic characteristics, hemodynamic characteristics, EER ( early enhancement rate) and ADC ( apparent diffusion coefficient) values were calculated and statistically compared. Results Among 19 cases of breast fibroadenoma, 9 cases were round or ovoid, 8 cases are lobulated, 2 cases were irregular, 15 cases with clear boundary, 14 cases in mammary gland vascular enlargement, 2 cases of slowinflows, 4 cases of moderate inflows, 13 cases of rapid inflows, and the average ADC value was ( 1. 47 ± 0. 38) × 10-3 mm2/s. Low signal separation present in 11 lesions of fibroadenoma. Among the 45 cases of breast cancer, 17 cases were round or ovoid, 7 cases were lobulat-ed, 21 cases were irregular, 11 cases with clear boundary, 38 cases of mammary gland vascular enlargement, 1 case of slow inflows, 5 ca-ses of moderate inflows, 39 cases of rapid inflows, and the averageADC values was (0.98±0.40)×10-3mm2/s. The shape, (χ2=9.176), margin (χ2=16.452), EER(χ2=18.489) and ADC between breast fibroadenoma and breast cancer were of significantly difference. No significant difference was found in the increased and enlarged blood vessels. The success of ADC values in differentation of breast fibroadenoma from breast cancer was statistically significant( P<0.001), and the area under the curve(AUC)of the ROC, sensitivity and specificity of VE were 94.7% and 71.1%. Conclusion Breast fibroadenoma are in fast inflows in the early phase on the DCE-MRI, and there are differences in morphologic characteristics and mass enhancement ways between patients with breast fibroadenoma and breast cancer. Morphologic characteristics combined with inter-nal low signal separation contribute to the differentiation of breast fibroadenoma from breast cancer.
