Share:
Share this content in WeChat
X
Clinical Article
Correlation of MR apparent diffusion coefficient value with HER-2 expression in non-mass-like breast carcinoma
XU Mao-lin  SU Dan-ke  XIE Dong  JIN Guan-qiao  WANG Zheng  HUANG Xiang-yang  LI Fang  ZHANG Wei 

DOI:10.3969/j.issn.1674-8034.2015.07.007.


[Abstract] Objective: To investigate the association of MR apparent diffusion coefficient (ADC) value with HER-2 expression in non-mass-like breast carcinoma.Materials and Methods: Seventy-three cases diagnosed as breast cancers by pathologic examination underwent magnetic resonance prior to surgery. All cases performed non-mass-like enhancement in dynamic contrast-enhanced MR imaging. The expression of HER-2 in tumor tissue were assayed by immunohistochemical (IHC) staining and Fluorescence in situ hybridization (FISH). ADC value was calculated using two b factors (b=0, 800 s/mm2). t test and Spearman rank correlation were used toevaluate correlations between ADC value with HER-2 expression. ROC curve was applied to get the best threshold of ADC value,which was to judge HER-2 expression.Results: The ADC value in HER-2 positive and negtive expression group was (1.028±0.171)×10-3 mm2/s and (0.931±0.176)×10-3 mm2/s, respectively. The ADC value in the positive expression group was significantly higher (t=2.212, P=0.030). ADC value had positive correlation with the positive expression of HER-2(r=0.294, P=0.012). The best threshold of ADC value to judge HER-2 expression was 0.977×10-3 mm2/s by ROC curve, while the sensitivity and specificity were 70.8% and 67.3%, respectively.Conclusions: ADC value may have positive correlation with the expression of HER-2 in non-mass-like breast carcinoma, and draw up the treatment plan and prognosis evaluation for patients.
[Keywords] non-mass-like enhancement;Breast carcinoma;ADC value;HER-2

XU Mao-lin Department of Radiology, the Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, China

SU Dan-ke* Department of Radiology, the Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, China

XIE Dong Department of Radiology, the Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, China

JIN Guan-qiao Department of Radiology, the Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, China

WANG Zheng Department of Radiology, the Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, China

HUANG Xiang-yang Department of Radiology, the Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, China

LI Fang Department of Radiology, the Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, China

ZHANG Wei Department of Radiology, the Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, China

*Correspondence to: Su DK, E-mail: sudanke33@sina.com

Conflicts of interest   None.

Received  2015-05-15
Accepted  2015-06-24
DOI: 10.3969/j.issn.1674-8034.2015.07.007
DOI:10.3969/j.issn.1674-8034.2015.07.007.

[1]
Jansen SA, Fan X, Karczmar GS, et al. DCEMRI of breast lesions: is kinetic analysis equally effective for both mass and nonmass-like enhancement?Med Phys, 2008, 35(7): 3102-3109.
[2]
李晓,程流泉,刘梅,等. MRI、钼靶和超声对乳腺非肿块样强化病变诊断的对比研究.中国医学影像学杂志, 2013, 21(5): 336-340.
[3]
张静,程流泉,安宁豫,等.表观扩散系数在乳腺病变诊断中的应用价值.中国医学影像学杂志, 2010, 18(6): 485-491.
[4]
Li HH, Ma F, Zeng X, et al. Comparison of fluorescence in situ hybridization and immunohistochemistry assessment for Her-2 status in breast cancer and its relationship to clinicopathological characteristics. Zhonghua Yi Xue Za Zhi, 2011, 91(2): 76-80.
[5]
邵真真,刘佩芳,张淑平,等.钙化性乳腺癌MRI表现及其与预后因子的相关性分析.中国肿瘤临床, 2013(7): 389-394.
[6]
韦苇,谢东,苏丹柯,等.乳腺癌MRI非形态学特征与C-erbB-2表达的相关性研究.磁共振成像, 2014(4): 269-273.
[7]
Kim SH, Cha ES, Kim HS, et al. Diffusion-weighted imaging of breast cancer: correlation of the apparent diffusion coefficient value with prognostic factors. J Magn Reson Imaging, 2009, 30(3): 615-620.
[8]
Yabuuchi H, Matsuo Y, Okafuji T, et al. Enhanced mass on contrast-enhanced breast MR imaging: lesion characterization using combination of dynamic contrast-enhanced and diffusion-weighted MR images. J Magn Reson Imaging, 2008, 28(5): 1157-1165.
[9]
Yabuuchi H, Matsuo Y, Kamitani T, et al. Non-mass-like enhancement on contrast-enhanced breast MR imaging: lesion characterization using combination of dynamic contrast-enhanced and diffusion-weighted MR images. Eur J Radiol, 2010, 75(1): e126-e132.
[10]
王盈盈,常晓丹,付娇慧.乳腺浸润性导管癌3.0TMRI表现与预后因子相关性研究.磁共振成像, 2014(2): 132-137.
[11]
刘春玲,何晖,刘再毅,等. ADC值与乳腺浸润性导管癌预后标记物间相关性的探讨.临床放射学杂志, 2014, 33(2): 194-198.
[12]
Choi SY, Chang YW, Park HJ, et al. Correlation of the apparent diffusion coefficiency values on diffusion-weighted imaging with prognostic factors for breast cancer. Br J Radiol, 2012, 85(1016): e474-e479.
[13]
Jeh SK, Kim SH, Kim HS, et al. Correlation of the apparent diffusion coefficient value and dynamic magnetic resonance imaging findings with prognostic factors in invasive ductal carcinoma. J Magn Reson Imaging, 2011, 33(1): 102-109.

PREV The value of intravoxel incoherent motion model of diffusion weighted imaging in differentiating benign from malignant breast lesions
NEXT The study of correlation between ageandanatomical segment in healthy lumbarinterverbraldiscs by diffusion tensor imaging
  



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