超微血管成像技术鉴别乳腺良恶性病变的应用效果分析

Application and Effect Analysis by Superb Microvascular Imaging Technology in Differentiating Benign and Malignant Breast Lesions

目的分析临床诊断过程中,应用超微血管成像技术鉴别乳腺疾病良恶性质的应用效果。方法回顾性分析2019年5月~2021年5月牡丹江医学院附属红旗医院收治的67例乳腺病变患者临床资料,所有患者均已接受超声检查,乳腺病灶血流分级方法为Adler血流分级法。比较应用彩色多普勒血流显像(CDFI)技术以及应用超微血管成像(SMI)技术时的血流检出率;分析CDFI技术以及SMI技术反映出的血管形态分布特点;对病灶处血管分布模式进行逐一分型;对比良恶性病变的差异。结果SMI对乳腺病灶的血流检出率明显高于CDFI(P<0.05)。CDFI技术和SMI技术模式下乳腺良性病变及乳腺恶性病变的Adler血流分级、病变间血管形态差异均有统计学意义(P<0.05)。良性病变病灶的血管形态以乏血管型、线性、曲线型、树枝状居多,恶性病变病灶的血管形态以蟹足状为主,且血管粗大并扭曲。结论超微血管成像(SMI)技术能够显著提升乳腺病灶血管检出率,且此技术能够较为清晰地观察和分析病灶Adler血流分级情况和血管形态特点,有利于进一步鉴别乳腺良恶性病变情况。

Objective To analyze the clinical effect of ultramicroangiography in differentiating the benign and malignant nature of breast diseases in the process of clinical diagnosis.Methods The clinical data of 67 patients with breast lesions treated in Hongqi Hospital affiliated to Mudanjiang Medical College from May 2019 to May 2021 were analyzed retrospectively.All patients were examined by ultrasound.The blood flow classification of breast lesions was Adle blood flow classification.The blood flow detection rates of color Doppler flow imaging(CDFI)and superb microvascular imaging(SMI)were compared.The distribution characteristics of vascular morphology in CDFI and SMI were analyzed,the vascular distribution patterns in the lesions were classified one by one,and the differences between benign and malignant lesions were compared.Results The detection rate of blood flow in breast lesions by SMI was significantly higher than that by CDFI.There were significant differences in Adler blood flow grade and vascular morphology between benign and malignant breast lesions by CDFI and ultramicro-angiography(SMI).The vascular morphology of benign lesions was mainly hypovascular,linear,curved and dendritic,while that of malignant lesions was mainly crabfoot-shaped,and the blood vessels were thick and twisted.Conclusion SMI can significantly improve the detection rate of blood vessels in breast lesions,and this technique mode can clearly observe the Adler blood flow classification of breast lesions and analyze the morphological characteristics of blood vessels in order to further distinguish between benign and malignant breast lesions.