薛雯,杨柳茵,范丽,冯思仪,林珍珍,彭雄强,张建兴.超微血管成像技术鉴别乳腺良恶性病变[J].中国医学影像技术,2019,35(1):77~81
超微血管成像技术鉴别乳腺良恶性病变
Superb microvascular imaging in diagnosis of benign and malignant breast lesions
投稿时间:2018-05-15  修订日期:2018-10-21
DOI:10.13929/j.1003-3289.201805085
中文关键词:  乳腺肿瘤  微血管成像  超声检查,多普勒,彩色
英文关键词:breast neoplasms  superb microvascular imaging  ultrasonography, Doppler, color
基金项目:
作者单位E-mail
薛雯 广东省中医院超声科, 广东 广州 510120  
杨柳茵 广东省中医院超声科, 广东 广州 510120  
范丽 广东省中医院超声科, 广东 广州 510120  
冯思仪 广东省中医院超声科, 广东 广州 510120  
林珍珍 广东省中医院超声科, 广东 广州 510120  
彭雄强 广东省中医院超声科, 广东 广州 510120  
张建兴 广东省中医院超声科, 广东 广州 510120 venant@126.com 
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中文摘要:
      目的 探讨超微血管成像(SMI)技术鉴别诊断乳腺良恶性病变的应用价值。方法 回顾性分析经病理证实的281例乳腺病变患者(300个病灶)的二维超声、CDFI及SMI图像,对所有病灶进行Adler血流分级,比较CDFI与SMI检出血流的能力,观察乳腺病灶在CDFI及SMI下血管形态分布特征,并对乳腺病灶血管分布模式进行分型,比较良恶性病变的差异。结果 CDFI对乳腺病灶血流检出率为78.33%(235/300),SMI为90.33%(271/300),差异有统计学意义(χ2=116.066,P<0.001)。CDFI及SMI对良性与恶性病变血流Adler分级差异有统计学意义(P均<0.001)。CDFI与SMI模式间乳腺病灶血流Adler分级差异有统计学意义(Z=-9.722,P<0.001)。CDFI及SMI检测良恶性乳腺病变间血管形态差异均有统计学意义(P均<0.001),良性病灶多表现为乏血管型、线性或曲线型以及树枝状,恶性病灶多表现为血管粗大扭曲、蟹足状。结论 SMI可以提高乳腺病灶的血管检出率,以SMI观察病灶Adler血流分级和血管形态特征有助于鉴别乳腺良恶性病变。
英文摘要:
      Objective To explore the value of superb microvascular imaging (SMI) for differentiating benign and malignant breast lesions. Methods Totally 281 patients (300 lesions) confirmed with pathology were enrolled, and the data of 2D gray-scale, CDFI and SMI were analyzed retrospectively. Adler's grading was applied to classify blood flow in breast lesions, and the ability of CDFI and SMI in detecting blood flow was compared. The vascular morphology features of breast lesions were also observed with CDFI and SMI, and then were classified and compared between benign and malignant lesions. Results The detection rate of blood flow with CDFI was 78.33% (235/300), with SMI was 90.33% (271/300), and the difference was statistically significant (χ2=116.066, P<0.001). Both CDFI and SMI showed statistically significant differences in blood flow Adler grading between benign and malignant lesions (both P<0.001). The difference of Adler grades with CDFI and SMI was significant (Z=-9.722, P<0.001). The differences in vascular morphology between benign and malignant breast lesions detected with CDFI and SMI were statistically significant (both P<0.001). The benign lesions mostly presented non-vascular, linear or curvilinear and tree-like, whereas enlarged and twisted penetrating and radial vessels were found more common in malignant lesions. Conclusion SMI can increase blood flow detection of breast lesions. SMI Adler grading of blood flow and vascular morphology are helpful to identifying benign and malignant breast lesions.
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