摘要
目的探讨超声乳腺影像学报告及数据系统(BI-RADS)标准化描述术语鉴别诊断乳腺小肿块(最大直径均≤1.5cm)的价值。方法利用BI-RADS超声术语对159例患者共186个乳腺小肿块进行描述,并对这些超声征象进行二分类Logistic回归分析。结果良性肿块123个(123/186,66.13%),恶性肿块63个(63/186,33.87%)。超声对恶性肿块诊断的敏感度、特异度、准确率分别为71.43%(45/63)、87.80%(108/123)、82.26%(153/186)。单因素分析显示乳腺良恶性小肿块的形态、边缘、生长方向、后方回声、内部微钙化差异有统计学意义(P<0.05);多因素分析显示边缘毛刺和内部微钙化进入回归模型(P<0.05)。结论边缘毛刺及肿块内部微钙化对鉴别乳腺良恶性小肿块最具价值。
Objective To explore the value of standardized description in breast imaging reporting and data system （BI-RADS） in ultrasonic differential diagnosis of small solid breast masses （maximum diameter ≤1.5 cm）. Methods Ultrasonic features of 186 small solid breast masses in 159 patients were described according to BI-RADS, and were analyzed via univariate and multivariate Logistic regression. Results Among 186 small solid breast masses, 123 （123/186, 66.13%） were benign and 63 （63/186, 33.87%） were malignant. The sensitivity, specificity and accuracy of breast ultrasound for differentiate benign from malignant masses was 71.43% （45/63）, 87.80% （108/123） and 82.26% （153/186）, respectively. Univariate analysis showed there were significant differences of shape, margin, orientation, posterior echo and microcalcification between benign and malignant masses （P〈0.05）. Multivariate analysis showed spicules of margin and microcalcification were related with small malignant masses （P〈0.05）. Conclusion Spicules of margin and microcalcification are consider to be valuable features for distinguishing small malignant breast masses from benign ones.
出处
《中国介入影像与治疗学》
CSCD
2014年第4期221-224,共4页
Chinese Journal of Interventional Imaging and Therapy
基金
深圳市医学科研基金项目(201202083)
关键词
超声检查
乳腺肿瘤
乳腺影像学报告及数据系统
Ultrasonography
Breast neoplasms
Breast imaging reporting and data system
