超声弹性成像联合BI—RADS分类在乳腺微小病灶诊断中的应用价值  

作　　者：余小玲 

机构地区：[1]浙江金华广福医院,321000

出　　处：《浙江临床医学》2017年第7期1331-1333,共3页Zhejiang Clinical Medical Journal

摘　　要：目的探讨超声弹性成像（UE）联合BI—RADS分级对乳腺微小病灶的诊断价值。方法回顾性分析68例乳腺肿块患者，130个微小病灶（直径≤1cm）的uE表现，根据超声BI-RADS分类，结合UE评分对其进行校正，并与手术病理检查结果进行比较。结果130个乳腺病灶中，良性病灶79个（60．8％），恶性病灶51个（39．2％）；BI-RADS分类和校正后符合率86．2％；校正的BI—RADS分类的灵敏度为94．1％、特异度为89．9％、阳性预测值为85．7％、阴性预测值为95．9％，其中灵敏度显著高于单独BI-RADS分类（P〈0．05）。结论BI-RADS分类联合LIE评分可提高直径≤1cm的乳腺微小病灶的诊断准确性，有助于鉴别病灶的良恶性。Objective To investigate the diagnosis value of ultrasound elastography （ UE ） and breast imaging reporting and data system （ BI- RADS ） classification in small 15reast lesions so as to improve diagnostic accuracy of the condition. Methods 68 patients with a total of 130 small breast lesions （ diameter≤ 1cm ） were retrospectively analyzed by UE manifestation. Ultrasound BI-RADS was used for classification while UE was used to adjust the results. The results were further compared with those of postoperative pathology. Results Among the 130 small masses, 79 （ 60.8% ） were benign lesions and the rest 51 （ 39,2% ） were malignant.The coincidence rate between BI-RADS classification and adjustment with UE was 86.2%. The sensitivity, specificity, positive predictive value negative predictive value of BI-RADS classification after adjustment with UE were 94.1%, 89.9%, 91.5%, 85.7%~ 95.9%, respectively, sensitivity was significantly higher than BI- RADS classification without adjustment （P〈0.05） . Conclusions BI-RADS classification combined with UE score can improve the diagnostic accuracy of breast small lesions （ diameter≤1cm ） , and contribute to the identification of benign and malignant lesions.

关 键 词：乳腺微小病灶 超声弹性成像 BI-RADS分类 鉴别诊断 

分 类 号：R730.44[医药卫生—肿瘤]