| 超声乳腺影像学报告及数据系统鉴别诊断乳腺小肿块 |
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| 引用本文： | 王文韬,陈琮瑛,李胜利,余容,袁鹰,杨霞,王恩礼. 超声乳腺影像学报告及数据系统鉴别诊断乳腺小肿块[J]. 中国介入影像与治疗学, 2014, 11(4): 221-224 |
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| 作者姓名： | 王文韬 陈琮瑛 李胜利 余容 袁鹰 杨霞 王恩礼 |
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| 作者单位： | 南方医科大学附属深圳妇幼保健院超声科, 广东 深圳 518028;南方医科大学附属深圳妇幼保健院超声科, 广东 深圳 518028;南方医科大学附属深圳妇幼保健院超声科, 广东 深圳 518028;南方医科大学附属深圳妇幼保健院超声科, 广东 深圳 518028;南方医科大学附属深圳妇幼保健院超声科, 广东 深圳 518028;南方医科大学附属深圳妇幼保健院超声科, 广东 深圳 518028;南方医科大学附属深圳妇幼保健院乳腺外科, 广东 深圳 518028 |
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| 基金项目： | 深圳市医学科研基金项目（201202083）。 |
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| 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(P0.05);多因素分析显示边缘毛刺和内部微钙化进入回归模型(P0.05)。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。
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| 关 键 词： | 超声检查 乳腺肿瘤 乳腺影像学报告及数据系统 |
| 收稿时间： | 2013-10-05 |
| 修稿时间： | 2013-11-18 |
Breast imaging reporting and data system in ultrasonic differential diagnosis of small solid breast masses |
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| WANG Wen-tao,CHEN Cong-ying,LI Sheng-li,YU Rong,YUAN Ying,YANG Xia and WANG En-li. Breast imaging reporting and data system in ultrasonic differential diagnosis of small solid breast masses[J]. Chinese Journal of Interventional Imaging and Therapy, 2014, 11(4): 221-224 |
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| Authors: | WANG Wen-tao CHEN Cong-ying LI Sheng-li YU Rong YUAN Ying YANG Xia WANG En-li |
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| Affiliation: | Department of Ultrasound, Shenzhen Maternity & Child Healthcare Hospital Affiliated to Southern Medical University, Shenzhen 518028, China;Department of Ultrasound, Shenzhen Maternity & Child Healthcare Hospital Affiliated to Southern Medical University, Shenzhen 518028, China;Department of Ultrasound, Shenzhen Maternity & Child Healthcare Hospital Affiliated to Southern Medical University, Shenzhen 518028, China;Department of Ultrasound, Shenzhen Maternity & Child Healthcare Hospital Affiliated to Southern Medical University, Shenzhen 518028, China;Department of Ultrasound, Shenzhen Maternity & Child Healthcare Hospital Affiliated to Southern Medical University, Shenzhen 518028, China;Department of Ultrasound, Shenzhen Maternity & Child Healthcare Hospital Affiliated to Southern Medical University, Shenzhen 518028, China;Department of Breast Surgery, Shenzhen Maternity & Child Healthcare Hospital Affiliated to Southern Medical University, Shenzhen 518028, China |
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| Abstract: | |
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| Keywords: | Ultrasonography Breast neoplasms Breast imaging reporting and data system |
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