超微血管成像技术联合超声BI-RADS分级在#br#
鉴别乳腺良恶性肿物中应用价值

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Abstract Objective: To explicate the diagnostic performance of the combination of superb microvascular imaging(SMI) and BI-RADS in distinguishing breast benign lesions from malignant lesions. Methods: One hundred and thirty-eight breast lesions were detected by ultrasonography and pathologic types were confirmed by histopathology. Both SMI and CDFI were used to detect blood flows of breast masses according to Adler’s grading criteria, respectively. The optimal threshold drawing from ROC curve and diagnostic efficacy of single and combinative modality were calculated. Results: The inter-observer agreement of SMI and CDFI were favorable(CDFI: κ=0.82; SMI: κ=0.76). There was a significant difference between SMI and CDFI for detecting blood flows in all lesions(κ=0.38), which was more significant in malignant group(κ=0.028) but not significant in benign lesions(κ=0.61). The areas under ROC curves were 0.867(BI-RADS), 0.669(CDFI), 0.871(SMI), 0.710(BI-RADS+CDFI) and 0.899(BI-RADS+SMI) respectively. The sensitivities and specificities were 0.950 and 0.692(BI-RADS), 0.821 and 0.900(SMI), 0.600 and 0.821(CDFI), respectively. There was no significant difference between combinative modality(BI-RADS and SMI) and SMI(0.900 vs 0.950, P＞0.05) for the sensitivity; but the specficity of combinative modality(BI-RADS and SMI) was significantly higher than that of SMI(0.897 vs 0.692, P＜0.01). Conclusion: Comparing with CDFI, SMI provides better microvascular information in breast lesions. The combination modality of BI-RADS and SMI can improve diagnostic performance of breast malignancy.

Key words： Breast neoplasms Ultrasonography, mammary Ultrasonography, Doppler, color

Received: 26 June 2015

PACS:	Ｒ737.7
	Ｒ445.1

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	Articles by authors
	MA Yan
	GUO Song
	LI Jing
	REN Wei-dong
	DENG Li-jun

Cite this article:

MA Yan,GUO Song,LI Jing, et al. The combination of superb microvascular imaging and BI-RADS in distinguishing breast benign lesions from malignant lesions[J]. JOURNAL OF CHINA MEDICAL IMAGING, 2016, 27(1): 10-13.

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http://www.jccmi.com.cn/EN/ OR http://www.jccmi.com.cn/EN/Y2016/V27/I1/10

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