上海交通大学学报(医学版) ›› 2019, Vol. 39 ›› Issue (4): 393-.doi: 10.3969/j.issn.1674-8115.2019.04.011

• 论著·临床研究 • 上一篇    下一篇

超声 BI-RADS分类标准联合剪切波弹性成像技术鉴别诊断乳腺良恶性病灶的价值

何凤洁,张会萍,顾继英,杜联芳,吴蓉,白敏   

  1. 上海交通大学附属第一人民医院超声科,上海 200080
  • 出版日期:2019-04-28 发布日期:2019-05-23
  • 通讯作者: 白敏,电子信箱:baimin101@126.com。
  • 作者简介:何凤洁(1992—),女,硕士生;电子信箱: hfj2626@163.com。
  • 基金资助:
    国家自然科学基金(81671687)

Combination of BI-RADS for ultrasound and shear wave elastography in differential diagnosis of benign and malignant breast lesions

HE Feng-jie, ZHANG Hui-ping, GU Ji-ying, DU Lian-fang, WU Rong, BAI Min   

  1. Department of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University, Shanghai 200080, China
  • Online:2019-04-28 Published:2019-05-23
  • Supported by:
    National Nature Science Foundation of China, 81671687

摘要: 目的 ·探讨 2013版超声乳腺影像报告和数据系统( breast imaging reporting and data system,BI-RADS)分类诊断标准结合剪切波弹性成像技术( shear wave elastography,SWE)鉴别乳腺良恶性病灶的价值。方法 ·对 155例患者共 175个乳腺病灶行常规超声检查,并用 BI-RADS分类诊断标准判断其良恶性;再行剪切波弹性成像检测,获得乳腺良恶性病灶的剪切波定量参数。以病理结果为金标准,构建受试者操作特征( ROC)曲线,比较 2种方法单独应用及联合应用的诊断价值。结果 · BI-RADS分类诊断标准、 SWE技术及两者联合鉴别诊断乳腺良恶性结节的曲线下面积( AUC)分别为 0.913、0.884和 0.957,三者两两比较, 2种方法单独使用与两者联合应用的 AUC差异皆有统计学意义( BI-RADS分类 vs 两者联合 : Z2.883,P0.002;SWE技术 vs 两者联合 : Z4.081, P0.000)。结论 · BI-RADS分类与 SWE技术联合可以提高乳腺病灶的诊断准确性。

关键词: 乳腺病灶, 乳腺影像报告和数据系统( BI-RADS), 剪切波弹性成像技术

Abstract:

Objective · To explore the value of the 2013 version of the ultrasound breast imaging reporting and data system (BI-RADS) classification diagnostic criteria combined with ultrasound shear wave elastography (SWE) to identify benign and malignant breast lesions. Methods · A total of 175 solid breast masses in 155 women were examined with ultrasound, and were judged to be benign or malignantBI-RADS classification criteria. Then all the masses were examined with shear wave elastography (SWE), to obtain shear wave quantitative parameters of benign and malignant breast lesions, the pathological results were used as the gold standard to construct the receiver operating characteristic (ROC) curve of the subjects, which were used to compare the diagnostic value of the two methods alone and in combination. Results · The area under curve (AUC) of the BI-RADS classification diagnostic criteria, the Emax value, and the combination of the two methods to differential diagnosis of benign and malignant breast nodules were 0913, 0.884 and 0.957, respectively. Through pairwise comparison, there was significant difference in AUC between the two methods alone and their combination (BI-RADS classification vs. combination: Z2.883, P0.002; SWE vs. combination: Z4.081, P0.000). Conclusion · The combination of BI-RADS classification and SWE technology can improve the diagnostic accuracy of breast lesions. [Key words]breast lesions; breast imaging reporting and data system (BI-RADS); shear wave elastography (SWE)

Key words: breast lesions, breast imaging reporting and data system (BI-RADS), shear wave elastography (SWE)

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