Share:
Share this content in WeChat
X
Experience Exchanges
The value of DCE-MRI combined with DWI in differential diagnosis of breast benign and malignant diseases
WEN Jie  KANG Wenyan  LIU Zhou  LI Li  ZHONG Yihong  WANG Yunfei  LUO Dehong 

Cite this article as: Wen J, Kang WY, Liu Z, et al. The value of DCE-MRI combined with DWI in differential diagnosis of breast benign and malignant diseases. Chin J Magn Reson Imaging, 2020, 11(4): 304-307. DOI:10.12015/issn.1674-8034.2020.04.013.


[Abstract] Objective: To explore time-signal intensity curve (TIC) type, early enhancement rate and the value of apparent diffusion coefficient (ADC) in differential diagnosis of benign and malignant breast lesions.Materials and Methods: The preoperative magnetic resonance imaging and clinicopathological data of 140 pathologically confirmed breast lesions in our hospital from April 2017 to April 2019 were retrospectively analyzed. The lesions were divided into benign lesion group and malignant lesion group according to the pathology after operation. The difference of TIC curve type and early enhancement rate between benign and malignant breast lesions were compared and the difference of ADC value between the two groups was compared.Results: 140 lesions of 107 patients were included in the study. Three of them had breast cancer and breast fibroadenoma simultaneously, one had ipsilateral breast and two had bilateral breast respectively. 43 benign lesions, 97 lesions of malignant tumors. The TIC curve type, the type of early enhancement rate of benign and malignant breast lesions were significantly different (P<0.05). The average ADC value of benign lesions was (1.335±0.266)×10-3 mm2/s and that of malignant lesions was (0.965±0.215)×10-3 mm2/s. There was a significant difference between the two groups (P<0.05). When the threshold value of ADC was 1.085×10-3 mm2/s, the sensitivity, specificity, accuracy and area under the curve of ADC were 73.2%, 86.0%, 77.1% and 0.857 respectively. The sensitivity, specificity and accuracy of TIC curve, early enhancement rate and ADC were 83.5%, 79.1% and 78.5% respectively. The area under the curve of AUC was 0.882, which was higher than that under the curve of other three diagnostic methods (0.728, 0.562, 0.857).Conclusions: The combined diagnosis of ADC value of diffusion weighted imaging, semi-quantitative parameters of dynamic contrast-enhanced imaging (TIC curve type and early enhancement rate of the first stage) is of great value in differential diagnosis of benign and malignant breast lesions.
[Keywords] breast diseases;dynamic contrast-enhanced imaging;diffusion weighted imaging;magnetic resonance imaging

WEN Jie National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital& Shenzhen Hospital, Chinese Academy of Mediacal Sciences and Peking Union Medical College, Shenzhen 5180006, China

KANG Wenyan National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital& Shenzhen Hospital, Chinese Academy of Mediacal Sciences and Peking Union Medical College, Shenzhen 5180006, China

LIU Zhou National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital& Shenzhen Hospital, Chinese Academy of Mediacal Sciences and Peking Union Medical College, Shenzhen 5180006, China

LI Li National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital& Shenzhen Hospital, Chinese Academy of Mediacal Sciences and Peking Union Medical College, Shenzhen 5180006, China

ZHONG Yihong National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital& Shenzhen Hospital, Chinese Academy of Mediacal Sciences and Peking Union Medical College, Shenzhen 5180006, China

WANG Yunfei National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital& Shenzhen Hospital, Chinese Academy of Mediacal Sciences and Peking Union Medical College, Shenzhen 5180006, China

LUO Dehong* National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital& Shenzhen Hospital, Chinese Academy of Mediacal Sciences and Peking Union Medical College, Shenzhen 5180006, China; National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Mediacal Sciences and Peking Union Medical College, Beijing 100021, China

*Corresponding to: Luo DH, E-mail: cjr.luodehong@vip.163.com

Conflicts of interest   None.

Received  2019-11-19
Accepted  2019-12-31
DOI: 10.12015/issn.1674-8034.2020.04.013
Cite this article as: Wen J, Kang WY, Liu Z, et al. The value of DCE-MRI combined with DWI in differential diagnosis of breast benign and malignant diseases. Chin J Magn Reson Imaging, 2020, 11(4): 304-307. DOI:10.12015/issn.1674-8034.2020.04.013.

[1]
Sardanelli F, Boetes C, Borisch B, et al. Magnetic resonance imaging of the breast: Recommendations from the EUSOMA working group. Eur J Cancer, 2010, 46(8): 1296-1316.
[2]
Pinker K, Helbich TH, Morris EA. The potential of multiparametric MRI of the breast. Br J Radiol, 2017, 90(1069): 20160715.
[3]
Partridge SC, Nissan N, Rahbar H, et al. Diffusion-weighted breast MRI: Clinical applications and emerging techniques. J Magn Reson Imaging, 2017, 45(2): 337-355.
[4]
Rahbar H, Partridge SC. Multiparametric breast MRI of breast cancer. Magn Reson Imaging Clin N Am, 2016, 24(1): 223-238.
[5]
中华医学会放射学分会乳腺专业委员会专家组.乳腺磁共振检查及诊断规范专家共识.肿瘤影像学, 2017, 26(4): 241-249.
[6]
Partridge SC, Stone KM, Strigel RM, et al. Breast DCE-MRI: influence of postcontrast timing on automated lesion kinetics assessments and discrimination of benign and malignant lesions. Acad Radiol, 2014, 21(9): 1195-1203.
[7]
Fan WX, Chen XF, Cheng FY, et al. Retrospective analysis of the utility of multiparametric MRI for differentiating between benign and malignant breast lesions in women in China. Medicine, 2018, 97(4): e9666.
[8]
Frouge C, Guinebreti Re EM, Contesso G, et al. Correlation between contrast enhancement in dynamic magnetic resonance imaging of the breast and tumor angiogenesis. Invest Radiol, 1994, 29(12): 1043-1049.
[9]
Jung PM, Suk CE, Joo KB, et al. The role of diffusion-weighted imaging and the apparent diffusion coefficient (ADC) values for breast tumors. Korean J Radiol, 2007, 8(5): 390.
[10]
An YY, Kim SH, Kang BJ. Differentiation of malignant and benign breast lesions: Added value of the qualitative analysis of breast lesions on diffusion-weighted imaging (DWI) using readout-segmented echoplanar imaging at 3.0 T. PLoS One, 2017, 12(3): e0174681.
[11]
巴照贵,张玉敏,倪晓丽,等.乳腺肿块性病变MRI动态增强与扩散加权成像联合诊断方法的探讨.实用放射学杂志, 2014, 30(10): 1657-1660.
[12]
Guo Y, Cai YQ, Cai ZL, et al. Differentiation of clinically benign and malignant breast lesions using diffusion-weighted imaging. J Magn Reson Imaging, 2002, 16(2): 172-178.
[13]
季文祥,胡剑峰,夏建国,等.磁共振弥散加权成像、动态增强技术联合鉴别乳腺良恶性病变.分子影像学杂志, 2017, 40(4): 405-408.
[14]
马存文,杨素梅,杨丽,等.磁共振动态增强联合扩散加权成像对乳腺良恶性病变的诊断价值.放射学实践, 2019, 34(4): 440-444.
[15]
Pratiksha Y, Surbhi C. Effectivity of combined diffusion-weighted imaging and contrast-enhanced MRI in malignant and benign breast lesions. Pol J Radiol, 2018, 83: 82-93.
[16]
高才良,乐暾,蔡福玲,等.动态增强MRI及扩散加权成像对乳腺癌的诊断价值研究进展.磁共振成像, 2016, 7(3): 235-240.

PREV Analysis of correlation between FVH-DWI matching and prognosis in patients with ischemic stroke caused by middle cerebral artery occlusion
NEXT Lateral ventricle schwannoma: One case report
  



Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn