乳腺浸润性导管癌超声征象与生物学指标相关性的研究

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Abstract Objective: To investigate the correlation between ultrasonographic features with expression of biological indicators in breast invasive ductal carcinoma(IDC). Methods: The 117 cases of breast IDC tissues confirmed by pathology were described retrospectively by color Doppler ultrasound signs, including tumor size, edge, shape, distribution of calcification and morphology, rear echo, grade of flowing image, metastasis to lymph node and surrounding tissues invasion. We used immunohistochemical methods to detect the expression of ER, PR, HER-2, Ki67, p53 and analyze their correlations with ultrasonographic features. Results: The positive rate of ER, PR, HER-2, Ki67 and p53 in breast IDC were 70.9%, 59.0%, 66.7%, 70.1%, 51.3% respectively. Edge “glitches” sign of ultrasonographic features had correlation with the expression of ER, PR(P<0.05). The microcalcifications within the mass had correlation with the expression of HER-2, Ki67(P<0.05). The features of rear echo attenuation and flow grade level 2～3 had positive correlation with the expression of HER-2, Ki67, p53, but had no significant correlation with ER, PR(P>0.05). Whether lymph node metastasis and infiltration of surrounding tissue had correlation with the expression of ER, PR, HER-2, Ki67, p53(P<0.05), and tumor size, shape had no significant correlation with ER, PR, HER-2, Ki67, p53(P>0.05). The level of Ki67 and HER-2, p53 and HER-2 were positively correlated(r=0.290, P=0.001; r=0.254, P=0.006). The expression of Ki67 and p53 was positively correlated(r=0.222; P=0.016). Conclusion: There has correlation between ultrasonographic features and molecular biological markers, such as ER, PR, HER-2, Ki67, p53. Malignancy ultrasono-graphic features display a certain extent with the low level of ER, PR and high level of HER-2, Ki67, p53, then provide the guiding basis for individualized treatment and prognosis evaluation of patients with breast cancer.

Key words： Breast neoplasms Biology Ultrasonography, Doppler, color

Received: 16 May 2016

PACS:	Ｒ737.9
	Ｒ445.1

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	JIANG Wen-bin
	REN Fu

Cite this article:

JIANG Wen-bin,REN Fu. Correlation between ultrasonographic features with biological indicators in breast invasive ductal carcinoma[J]. JOURNAL OF CHINA MEDICAL IMAGING, 2017, 28(2): 89-94.

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http://www.jccmi.com.cn/EN/ OR http://www.jccmi.com.cn/EN/Y2017/V28/I2/89

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